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10,038 | https://devpost.com/software/kick-out-addiction | Inspiration
Provide support
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for
Built With
api
uikit | Addiction | Help for family | [] | [] | ['api', 'uikit'] | 3 |
10,038 | https://devpost.com/software/best-web-development-companies-in-hyderabad | Best Web Development Companies In Hyderabad
Best Web Development Companies In Hyderabad
Adroit Daily brings you extensive research, comprehensive blogs, expert interviews, campaign reviews, Trending News and latest updates on social media platforms including Facebook, Instagram, Google, Pinterest, Twitter, Snapchat, Tiktok, LinkedIn, We meet, Meetup and Tumblr.
https://adroitdaily.com/2020/04/top-10-web-development-companies-in-hyderabad
Try it out
adroitdaily.com | Best Web Development Companies In Hyderabad | Best Web Development Companies In Hyderabad | ['Adroit Daily'] | [] | [] | 4 |
10,038 | https://devpost.com/software/asthma-alert | Home Page with Emergency Buttons
Data Analytics Page
Registration page question
Inspiration
Saber's Story:
When I was in middle school, I went on a trip to India. On the plane ride back, my sister had an attack. As soon as we landed, we rushed her to the ER in America. To this day, we still don't know what caused the attack. It could've been the altitude or it could've been the bad air pollution in India or a combination of both; if we were to go again, we would be unprepared like we were in the plane.
Many of our team members have had asthma affect our lives personally. Both Veer and Saber experienced asthma at a young age and have family members who have asthma. We've noticed that many members of our community—friends, colleagues, and family—have experienced asthma and have had potentially life-threatening attacks, taking them to the ER.
What it does
Our application has three main purposes:
An emergency button which a user can press during an attack to contact their loved one.
Real-time APIs which collect data from your location and uses machine learning to alert you when you're in a potentially hazardous location (i.e. the chance of you having an attack is high).
Machine learning to predict what triggers your unique asthma attacks.
How we built it
In order to develop our project, we used Flutter for the frontend mobile app, and created our own Flask REST API from scratch for the backend. We also integrated several APIs such as Google Cloud’s Elevation API to gain access to the environmental factors that affect Asthma such as elevation, pollen levels, humidity, temperature, and air quality index. Finally, we used both two database services: Firebase for user authentication and login and MongoDB to store data related to the environmental factors
Alert
The first core feature is the alert feature. In order to predict and alert the user of a potential attack, we used flutter’s geolocator plugin to retrieve the coordinates of the user asynchronously. Then, after finding the pollen level, humidity, temperature, elevation, and air quality index at the user’s location, we used a random forest classification algorithm trained on 10,000 observations with 99.5% accuracy to predict whether the user is prone to an asthma attack at his current location.
Factor Identification
In order to identify the most important contributing factors, we read through the factors which were present at high levels during the recorded attacks. We used a second machine learning algorithm and performed a statistical analysis to determine outliers from the data which could be potential triggers that the user didn’t know. This algorithm creates a confidence interval. If a value is statistically significant, the algorithm proposes that the factor could be a trigger. This data is also displayed in a bar graph. Overall, this feature helps users understand why they had an attack and gives them data to be prepared for future attacks.
Challenges we ran into
Our major challenge was combining the Flask with Flutter. To do this, we created an API using Flask. One of our first challenges was mounting our Flask server on Heroku. We kept on getting errors, so we ended up having to add the functions one by one to debug. In addition, we had to find a way to change the matplotlib.pyplot graph to a base64 string to send it to Dart to be compatible. We also had to figure out how to get Dart to send the requests and access the data from the Python and DB. Finally, the most challenging part of the project was that our team learned the new language flutter as well as how to build REST API's in order to develop the mobile application and the backend.
Accomplishments that we're proud of
We're proud that we were able to get the app functional after many trials and errors. The integration of the flask api and the flutter was really challenging, but we are proud to have learned how to accomplish that successfully. Finally, we are proud of learning how to build a complete REST API with Flask from scratch for the first time, incorporating 2 machine learning algorithms with our API and Flutter, and and getting our api deployed on a web server succesfully!
What we learned
Overall, we learned:
How to connected Flask and Flutter together to create a nice mobile app with powerful machine learning.
We learned how to use Flask as an API.
We discovered new APIs and accessed them.
What's next for Asthma Alert
We hope to create a more robust version of our application. Once we iron out some bugs through testing, we hope to see if we can make it a startup and push it out for our community and the world to us.
Built With
firebase
flask
flutter
google-cloud
machine-learning
mongodb
python
rest-api
sklearn | Asthma Alert | A mobile application that helps asthmatics by alerting them when they are in high risk areas and helping them identify the factors that contribute most to their asthma. | ['Veer Gadodia', 'Shreya C', 'James Han'] | ['1st Place'] | ['firebase', 'flask', 'flutter', 'google-cloud', 'machine-learning', 'mongodb', 'python', 'rest-api', 'sklearn'] | 5 |
10,038 | https://devpost.com/software/patient-health-history-record-system-f8iyxt | Screens Maps
Control of epidemics - Patient Control - Control of Vaccination Campaigns - Expert needs control by location - More reliable and secure data according to the new personal data protection law - More objective targeting of public health policy - Faster reaction to public health emergencies - Doctors with access to all health history and with more accurate patient information including emergency care - Patients with an updated and accessible health history when they need medical care - Public authorities using mathematical models to make projections with greater reliability - Patients using mathematical models to make projections and personalized predictions - Access to vulnerable population to technologies given only to people with private health insurance - Access to information of people using private health insurance by the government - People who have a private health plan and switch to the public health system without losing data - More accessible and reliable data than in DATA SUS - Data held by patients - Data released only for those patients who wish to access - Health History x Digital Health Record - Simplification of the database used today using data lake methodology
Built With
datalake
flutter
ionic
react
Try it out
github.com | Patient Health History Record System | We have developed a project for the public health area that aims to serve the poorest population. | ['Jose Alexandro Acha Gomes'] | [] | ['datalake', 'flutter', 'ionic', 'react'] | 6 |
10,038 | https://devpost.com/software/easy-access-of-hiv-drugs-to-patients | Inspiration suffering patients
What it does Allowing quick access of drugs
How I built it looking for teammates who know how to make Applications, just had an idea
Challenges I ran into. Not knowing how to make an application
Accomplishments that I'm proud of
If an Application is made it will ease quick access of drugs by patients and also eliminate stigma especially when patients go to health centres to pick drugs on a monthly basis. Through the Application patients can order for drugs that can be delivered to their homes using Uber, Safe Boda (Motor bikes)
What I learned
That through sharing ideas, knowledge we can make this world a better place for every one
What's next for Easy access of HIV drugs to patients.
Easy access of drugs in future in case some thing like this happens (Covid-19 pandemic) and also sort the issue of stigma that patients suffer whenever they go to pick their drugs from health centres in a monthly basis. After the Application has been developed drugs will be delivered to patients wherever they will be and also monitor their progress.
This idea cuts across to all patients even those with cancer, hepatitis B and so on. A solution should be put in place to address drug shortages in future in case another pandemic strikes us.
Thank you so much for giving this opportunity to be able to share my idea that I believe can address shortages of drugs especially in Africa.
Built With
asp.net | Easy access of HIV drugs to patients. | During the Covid-19 pandemic it has been very hard for HIV patients to access drugs due to the lockdown. So my idea is to partner with teammates who can make an Application with data base of patients | ['Innocent Bakashaba'] | [] | ['asp.net'] | 7 |
10,038 | https://devpost.com/software/baby-shop-for-sell |
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Baby R15 Motorbike
Baby R15 Motorbike
Baby R15 Motorbike
Baby R15 Motorbike
Baby R15 Motorbike
Baby R15 Motorbike
Baby R15 Motorbike
Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for baby shop for sell
Baby R15 Motorbike for sell
Price-18900tk
Built With
english
Try it out
greenmart.xyz | Baby Shop | Baby Motorbike For sell in Cheap price | ['Amimul Ihsan'] | [] | ['english'] | 8 |
10,038 | https://devpost.com/software/wecare-5l9dgi | Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
New logo.
Update with a key.
Hotspots for countries.
Options from the start.
Questions about your health.
Hot spots.
App design
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Unless being mandatory, we did not observe the large-scale adoption of these technologies by the crowd. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities.
WeCare Solution
WeCare is a cross-platform app that enables you to track the health status of your loved ones. Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates on best prevention practices. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
WeCare includes a contact tracing module that follows the guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
. It is an international collaboration of top European universities and research institutes to ensure the safety and privacy of individuals.
What we have done during the weekend
Have been in contact with other channels in Brazil and Chile.
We have updated the pitch (extended), app-design and backend connection of the app this week. New contacts with Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn. We have also modified the concept of Care Circle and how to add/remove individuals. Now, the app is very easy-to-use with minimal input (less than a minute per day) from the user. We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
The Hackathon brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live hotspot map, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models.
Also for the testing of the iOS version, we ran to the new restriction of App Store for COVID-related apps, which should be backed up by some health authorities or governmental entities.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Public support: a partnership with authorities and potentially being a part of government services to be able to deploy it on AppStore. It also makes WeCare more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Pitch:
https://youtu.be/7fMrVqxoPKY
Pitch extended version:
https://youtu.be/Vo0gs3WlptU
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | ['Alex Zinenko', 'Sina Molavipour', 'Ania Johansson', 'Hossein S. Ghadikolaei', 'Christian M', 'Seunghoon HAN', 'Tomasz Przybyłek', 'Mohamed Hany', 'Alireza Mehrsina'] | ['1st Place Overall Winners', '2nd Place'] | ['node.js', 'python', 'react', 'vue.js'] | 9 |
10,038 | https://devpost.com/software/kompetenzcenter-fur-gesundheitspolitische-fragen | Inspiration
Politiker, Unternehmer und andere Entscheidungsträger, die gezwungen sind, Verantwortung für die Gesundheit vieler Menschen zu übernehmen, brauchen kompetente Berater und Krisenmanager.
Diese müssen fähig sein, in Krisen einen klaren Kopf zu behalten und zusammen an Lösungen zu arbeiten.
In der Corona-Krise konnten wir gut beobachten, wie die bisherige Fokussierung auf Krankheiten zu Entscheidungen geführt hat, die die Wirtschaft, die Natur und viele Menschen belastet haben.
Viele Gesundheitsberater haben in dieser Krise leider ihre Mitte verloren. Dadurch hat sich erwartungskonform ihre Wahrnehmung unserer Welt verzerrt.
Ich sammle im ‚Kompetenzcenter für politische Gesundheitsfragen‘ Menschen, die es auch in Krisensituationen schaffen, in ihrer Mitte zu bleiben.
Damit gebe ich meinen Beitrag, damit in Krisensituationen Politiker, Unternehmer und andere Entscheidungsträger kompetente Berater haben, die wissen, wie die Gesundheit der Bevölkerung geschützt werden kann.
What it does
Dort gibt es Antworten auf aktuell brennende Fragen, wie z.B.
Ist eine Impfung sinnvoll?
Wer sagt die Wahrheit?
Wie kann eine zweite Welle verhindert werden?
How I built it
Plattform
FragDichGesund.de
in WordPress gebaut
Ergebnis
Die Antworten kannst du
hier auf der Plattform FragDichGesund.de
finden
What's next for Kompetenzcenter für gesundheitspolitische Fragen
Weitere Teammitglieder finden
Marketing
Es zu den Politikern und Menschen bringen
Übersetzung in andere Sprachen
Built With
wordpress
Try it out
findewissen.de | Kompetenzcenter für gesundheitspolitische Fragen | In Krisensituationen brauchen Politiker, Unternehmer und andere Entscheidungsträger kompetente Berater, die wissen, wie die Gesundheit der Bevölkerung geschützt werden kann | ['Gudrun Dara Müller'] | [] | ['wordpress'] | 10 |
10,038 | https://devpost.com/software/get-work-nsza80 | logo
user interface for service seekers
Possibility to change your profile from service seeker to service offers
user interface for service offers
only app where you can see when your service is coming (other then driver like on uber)
6 members of team
Inspiration
Millions people uneployment all around globe. All service providers on one app!
What it does
It is the only app where one can find reviews, price, location, experience and contact of service provider in one place,
focus is on C2C type of mediation and
on traditional services where 2 people phisically meet like: • Home care and design (interior designing, pest control, cleaning, laundry, glasswork, woodwork, waterproofing, masonry, carpentry...) • Repair and maintenance (handyman, locksmith, plumber, electrician...) • Health, wellness, and beauty (manicure, pedicure, physiotherapy, massage, trainer...) • Others (nanny, tutor, cooking, walking pets, shooping...)
How I built it
MY TEAM USE ANDROID AND VISUAL STUDIO.
This solution is disrupting the traditional business models, replacing them with a platform to connect the major stakeholders of a service exchange (Service provider and customer). Current MVP is a web page where one can offer or book services. The process is not automated yet so applications, bookings and all communication is first going to administrator. Furthermore, the implementation of Google maps is missing so locations are added manually on the map. There is no possibility to create and edit a profile or to leave reviews and comments. There is currently 14 service providers offering their services trough the web page.
Challenges I ran into
Financial means needed are for covering first year of operational expenses:
Computers 3.150 USD
Marketing 5.249 USD
Office ownership 42.362 USD
Bookkeeping 1.575 USD
Sallary 35.302 USD
Accomplishments that I'm proud of
WE HAVE PATENT ! Name of patent: SUSTAV ZA POVEZIVANJE PONUDE I POTRAŽNJE USLUGA, reported at Croatian Herald of Intellectual Property (Hrvatskom glasniku intelektualnog vlasništva) No. 5/2019 (8th of March 2019) Patent No. P20171297A. Holder of intellectual property rights: Mario Marević, Podgorske skale 9, Makarska
WE BUY A FIRM IN NORTH SIDE OF CROATIA THAT ALSO FIND SERVICES THROW WEB
What I learned
My team learned app functionalities: • service provider info (name, photo, education, professional experience, list of services) • service provider (and seeker) rating, reviews and comments • possibility for service seeker to determine suitable time and place where he wants the service to be provided — once provider agrees this way they both know particular time of delivery and a time duration • push notifications (when service is booked, when booking is accepted, when appointment time is changed, reminder to leave a review) • location of provider on map + real-time tracking • price of services provided (HRK/h) • browsing trough options with filters like service type, location, price and reviews • recommendations of service based on proximity, reviews, comments and price. • quick and easy payment mode (cash or card) • provider contact info — available once the service is booked which allows easy communication • overview of all available service options, while the most quality ones will appear on top
What's next for Get Work®
LETS PUT THIS WAY:
Unemployment rate goes up. There was 8.995 unemployed people in Split, 16.548 in Zagreb, 3.700 in Rijeka and 5.049 in Osijek in March 2020. There was 8,3% (152.590) unemployed people in Croatia. Unemployment Rate in Croatia averaged 16.9% from 1996 -2020. According to Trading Economics unemployment Rate in Croatia is expected to be around 13.50% in 2021.
By 2020, the number of freelancers is projected to outpace full time workers - 73% are looking for a job on dedicated internet platforms.
Because of economic crisis more people will need an extra source of income —79% of existing users in on-demand economy are working as part-time.
APP GET WORK IS TOLL THAT WORD NEED IN THE YEARS TO COME BECAUSE OF ECONOMY CRISES CAUSED BY CORONA-VIRUS
Built With
android-studio
visual-studio
Try it out
drive.google.com | Get Work® | Get Work® - Mobile app between service providers and service seekers. Booking and offering services in accordance with 21st century. | ['Mario Marevic'] | [] | ['android-studio', 'visual-studio'] | 11 |
10,038 | https://devpost.com/software/gesundheitsversicherung | Nominierung Deutscher Nachhaltigkeitspreis Design 2021
Gesundheitsversicherung
Transformationsraum Studiennetzwerk
Säulen im Studiennetzwerk
Grundeinkommen
Inspiration
Wie kann die persönliche Gesundheit nachhaltig gesichert werden?
Wie können die Erbanlagen geändert werden?
Wie können die unbewussten Muster erkannt werden, die das eigene Leben steuern?
What it does
Ermöglicht es Menschen ihre Gesundheit nachhaltig zu sichern.
How I built it
In der Grundausrichtung des Studiennetzwerks:
Die bedingungslose Liebe ist die Grundlage unseres Universums und unserer Erde.
Wir leben hier als Menschen mit einer klaren geistigen Ausrichtung auf:
Gesundheit (anstatt auf Prävention, Diagnose und Therapie von Krankheiten),
Unterstützung der Selbstverantwortung (anstatt staatliche Abhängigkeit und Verantwortungsübertragung)
auf ein Miteinander in wirtschaftlicher Stabilität (anstatt Konkurrenz und Forderungen)
Ergebnis
Hier ist es zusammengefasst
Hier findest du die Umsetzung im Studiennetzwerk
Auszeichnungen
Nominierung für den Deutschen Nachhaltigkeitspreis Design 2021 als Beitrag zur Transformation in eine nachhaltige Zukunft
What's next for Gesundheitsversicherung
Beschreibung für den Online-Kongress 'The Hidden Secrets'
Vorbereitung der Workshops im Hackathon des Studiennetzwerks bis zum 31.05.2020
Ausfüllen der Juryunterlagen für den Deutschen Nachhaltigkeitspreis Design 2021
Umleitung WasHilftWann.de
Fertigstellung ThankNet.de
Aufräumen FindeWissen.de
Built With
korperweisheit
menschlicheintelligenz
vernunft
wordpress
Try it out
findewissen.de | Gesundheitsversicherung | Nachhaltige wirtschaftlich stabile Lösung für das Gesundheitssystem schaffen, das alle stärkt | ['Gudrun Dara Müller'] | [] | ['korperweisheit', 'menschlicheintelligenz', 'vernunft', 'wordpress'] | 12 |
10,038 | https://devpost.com/software/the-virtual-medic-fwbdr1 | LOGO
Disease Prediction Example
Disease Prediction Example
Disease Prediction Example
Barcode Scanner backend
Medicine Reminder
Medicine Reminder Setup
Inspiration
While access to healthcare and hospitals remain very delicate in these times, we are developing a full AI based model that can be easily used and deployed to automate the process of patient hospitalization.
What it does
As the initial part of the project we have developed the health application serves several purposes. To begin with, the app has a Disease Predictor, which takes symptoms as the user input and predicts the disease based on the
same. The application also implements a Barcode Scanner that scans the barcodes on different
medicines via the camera and displays the details about the same like usage, effectiveness
and side effects. The app also lets the user input their daily medication including the number of doses and their
timings. On adding, the app would send the user a notification at every dosage time.
How do we aim to automate hospital interface with the same ?
Through the disease prediction model, i further aim to deploy a consultation mechanism that based upon the user symptoms connects us with the related doctor who specializes in the same field, for e.g orthopaedics, psychiatrists, general surgeons etc. Deployed in a hospital, the same can be used to assist patients with database management as well consultation management.
How I built it
The app is completely based on python with android being used as the front end framework.
Accomplishments that I'm proud of
The accuracy of the model and its ability to predict upto 41 diseases based upon the 132 different symptoms provides evidence of the advancements that can be made in this field.
What I learned
Being a machine learning enthusiast, i had never used android for deploying a front end to my application, hence android is the very main thing that i acquired from the project
What's next for The Virtual Medic
I plan to work on the UI of the application as well as plan to integrate a virtual video conferencing tool that can connect the user to nearest doctor for health consultation.
Built With
android
flask
keras
machine-learning
python
Try it out
github.com | The Virtual Medic | ML Based Disease Prediction and Hospital Automation | ['harsh pandey', 'Neel Kukreti', 'Tanvi Thakur'] | [] | ['android', 'flask', 'keras', 'machine-learning', 'python'] | 13 |
10,038 | https://devpost.com/software/ctet-apply-online | Inspiration
What it does
How I built it through my website.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for CTET Apply Online
Try it out
www.anujjindal.in | CTET Apply Online | CTET Online Apply form revision window was accessible till March 26, 2020. After this date, no CTET Online Applications will go under revision. | ['Anuj Jindal'] | [] | [] | 14 |
10,038 | https://devpost.com/software/identification-of-skin-oncological-diseases-ai | KEY FEATURES OF SKIN CANCER
INFRARED IMAGE
Inspiration
Annually, from 2 to 3 million cases of non-melanocytic skin cancer and more than 130,000 cases of malignant melanoma are diagnosed worldwide.
What it does
The aim of the project was to automate these measurements to accelerate the identification of diseases.
How we built it
The software allows you to evaluate the coincidence of actually measured parameters with the oncological criteria
Challenges we ran into
Our software allows you to solve any problems.
Accomplishments that we're proud of
A working prototype is developed that automates the measurement process on a dermatoscope.
What we learned
Found a new application for their software.
What's next for Identification of skin oncological diseases AI
We will test it in practice.
Built With
matlab
python
tensorflow
tod
Try it out
defin.zzz.com.ua | Identification of skin oncological diseases AI | Our project solves the problem of promptly detected skin cancer. | ['Nick Dubovikov', 'Kamel Pawelsky'] | [] | ['matlab', 'python', 'tensorflow', 'tod'] | 15 |
10,038 | https://devpost.com/software/papure-2tpv60 | paPURE Setup - Angeled View - Utilizing Snorkeling Mask
paPURE Setup - Front View - Utilizing Snorkeling Mask
paPURE Setup - Side View - Utilizing Snorkeling Mask
paPURE Setup - Back View - Utilizing Snorkeling Mask
Original Prototype of paPURE Design View
paPURE Base - Top View - Inserted Compressor Fan and Fan Shroud
paPURE Base - Top View - Empty
Abstract:
The Filtrexa paPURE is an affordable, 3D printed powered air-purifying respirator (PAPR) that provides our healthcare providers with better protection than even N95s, especially in high-risk and confined environments (E.g. ICUs, ERs). It incorporates readily available components and can be easily manufactured locally. We can thus increase accessibility of PAPR technology by enabling hospitals to produce and purchase it as per their need, optimizing the 3D-print to produce it at a cost that is over ten times cheaper than PAPRs currently offered on the market, and using exchanging highly specific components for readily available and affordable components. The Filtrexa paPURE also has made design changes to improve comfort, ease of use, and longevity of PAPR technology.
Introduction
One of the most immediate and impactful effects of the COVID-19 pandemic are global shortages of proper personal protective equipment (PPE), forcing healthcare providers (HCPs) to consistently work in high-risk environments and unnecessarily place their own lives at risk. Our product is a powered air-purifying respirator (PAPR) that creates a positive pressure field with filtered air to protect frontline healthcare workers from airborne threats such as SARS, TB, measles, influenza, meningitis, and most immediately COVID-19. This technology improves upon current PAPR devices in terms of cost-efficacy, ease of access, and ease of implementability. Our solution not only serves to combat general PAPR shortages across the country, but also eases PPE shortages that arise from COVID-19 and future patient surges through an on-demand 3D printing process.
Value Proposition
Powered, air-purifying respirators (PAPRs) are currently the gold standard in medicine when treating patients diagnosed with COVID-19 and other highly infectious respiratory diseases[1] due to their positive pressure system. This system filters air extremely effectively before it reaches the airway. However, this technology package is costly, often totaling over $1800[2] and requires highly specific components which are currently in short supply. Both well-established hospitals such as the Mayo Clinic (with a ratio of 4500 physicians to 200 PAPRs)[2] and smaller county hospitals such as the Hunterdon Medical Center (where not a single PAPR is available to physicians) are facing critical shortages of personal protective equipment (PPE). Evidently, the aforementioned barriers render PAPR technology inaccessible to most frontline HCPs, leaving them far more vulnerable to infection.
Alternatives to PAPR technology include N95s, surgical masks, and currently, homemade masks due to a worldwide shortage of PPE. Although they provide a barrier against aerosols, standard and surgical N95s are easily compromised with an improper fit and have an assigned protection factor (APF) of ten[4], while PAPRs have an APF of 25 to 1000, rendering PAPRs far more effective at protecting HCPs. Additionally, physicians tend to prefer PAPRs over N95s because PAPRs are reusable, easier to breathe through, do not require fit testing, and make them feel safer[1][5].
Our Solution
In order to provide purified air to those in the most high-risk environments, we have developed a novel, inexpensive, and accessible PAPR device that is both lightweight and 3D-printable within 24 hours. Printed using readily-available filaments (e.g. PLA, ABS), paPURE is mounted to the user’s hip and assembled via on-hand motors and batteries. (See Appendix 2.5).
Through PAPR technology, HCPs are given access to filtered positive pressure air systems (in which airflow serves to seal any gaps in masks, as well as reduce respiratory fatigue in HCPs), drastically decreasing infection risk in areas such as ICUs and ERs.
Our device’s customizability allows for interoperability with existing masks, filters, and hosing (See Appendix 3.1), enabling hospitals, or possibly surrounding hobbyists/machinists (regulatory dependent), to produce PAPRs for their physicians and nurses. For images and procedures: See Appendix 1 and 2.
The system features a dual battery set-up that allows HCPs to utilize one or both batteries independently, as well as swap out batteries while the device is in use (such as during an extended patient procedure that a physician cannot leave from). Additionally the belt system, with the fan/chassis on you lumbar and 2 battery on ports on both hips gives a better weight distribution for improved comfort in extended usages (such as a surgeon leaning in an awkward position during the operation). The use of an inline filter means that air is pushed into a filter at the end of the device, as opposed to regular PAPRs that pull air through filters. This setup means that the risk of an imperfect seal compromising air quality is virtually nullified as no negative pressure system exists after air filtration in our device. Additionally, the aforementioned inline filters are better at filtering biological particles without disturbing airflow than standard P100s and are already used extensively in anesthesiology and respiratory care departments of hospitals across the country.
After printing the device’s chassis and shroud, integration with an inline bacterial/viral filter, housing, and masks will be followed by on-site fit and efficacy testing to ensure proper device assembly.[6] Then, an HCP would don their mask, clipping the paPURE chassis and two smart power tool batteries to a provided utility belt, and connecting to the mask via a hose. At most, we expect equipping paPURE to add 1-3 minutes to a medical professional’s routine and greatly improve safety and comfort.
An Improvement from Traditional PAPRs
Our technology eliminates the need for a middle-man manufacturer. Because the only required components are readily available to hospitals and clinics, hospitals can produce the device as per their need. We anticipate working with local 3D-printing facilities to produce and assemble the product, then to distribute the Filtrexa PAPR to hospitals. Physicians and NIOSH officials (most notably Richard Metzler, the first Director of the National Personal Protective Technology Laboratory at NIOSH), have already given us promising feedback regarding the need for this technology, and we are looking into potential partnerships with PPE developers and/or motor manufacturers. Some hospital purchasing experts have additionally communicated a need for affordable PAPRs. Our solution is over 10 times cheaper than current PAPR technologies ($155; see Appendix 2, Figure 2), increasing likelihood of adoption. To allow smaller hospitals to easily obtain our technology, we plan to raise awareness of our business through phone calls and emails to hospitals throughout the country.
Implementation Plan
paPURE’s solution is implementable almost immediately. The main barrier between our tested prototype and implementation is FDA/NIOSH approval (FDA EUA Sec II/IV Approve NIOSH Certified Respirators). We have also identified conditions that will allow us to expedite the regulation and roll-out of the production (such as the IDE and 501(k) pathways suggested to us by regulatory experts).[15] Because our device is based on existing PAPR technology, this predicate nature in combination with existing precedents for 3D-printed medical technology, can help expedite its deployment.[16]
Our technology minimizes the need for a middle-men. We are partnering with regional additive manufacturers to allow for quick, standardized, yet still decentralized production of the device. The only required components are readily available to hospitals and clinics, allowing HCPs to produce the device as per their need. Additionally, if regulatory approval permits, we may utilize local schools/universities/hospitals with on-site 3D printers in order to allow for fully decentralized manufacturing. After NIOSH Approval, our device (and depending on regulatory guidelines, possibly our CAD file) will be sent to those with 3D printers available, who could print and assemble the device (See Appendix 3.1).
Players involved in the production of this technology would be hospital assembly workers, but the design is easily assembled by anyone (the only limitation being that assembly be done under a fume hood to prevent contamination). Physicians we’ve already talked to have given us promising feedback regarding the need for this technology. We are currently looking into potential partnerships with PPE developers (See Appendix 3.2) and/or motor manufacturers. Our solution is over ten times cheaper than current PAPR technologies (See Appendix 3.3), increasing the likelihood of adoption.
Due especially to the length of this health crisis, hospitals are facing dire shortages of PPE. This has accelerated our timeline, but we are confident that it is feasible given the current state of emergency (See Appendix 3.4).
Since this product has yet to be implemented in hospitals, we are writing to you today to gauge your interest in paPURE. Additionally, any feedback you have relating to our product or interest in helping us with laboratory testing of paPURE would be greatly appreciated.
We anticipate our project to reach full fruition within 6-12 months. Our timeline is as follows. Our second iteration of prototyping for clinician testing will conclude in 2-3 weeks, followed by initial clinical testing, which will finish in around 1.5 months. As soon as clinical testing is finished and the product is validated, we will submit our product officially to NIOSH for regulatory approval. We anticipate receipt of regulatory approval within 1.5 months from submission. After approval is obtained, we will also apply for either a provisional patent or copyright, depending on legal advice. Within 1-2 months after regulatory approval, we plan to roll out our product to hospitals via centralized 3D-printing. During the next 1-2 months, we will continue to iterate and optimize the product. Official hospital rollout, with multiple 3D-printing partners and company partnerships, will occur around a month later. This will be around 6-7 months from now. As seen, our timeline is aggressive as we wish to equip healthcare providers with PPE as soon as possible. The prior goals mentioned in our timeline are our key goals and objectives for the project at this time.
Current Testing and Partnerships
Technical Testing is being carried out at Filrexa's primary residence and at Johns Hopkins University and includes analysis of airflow data, battery life, and filtration efficacy. For clinical testing, we already have established connections for clinical testing with both Johns Hopkins Medical Institute and Stanford University. In regards to business-focused assistance, we have also partnered with FastForwardU for advising regarding intellectual property protection, strategic marketing, and clinical networking.
Planned Partnerships
We plan to designate one 3D-printing company (current candidates include Xometry, Protolabs, Cowtown, and Health3D) as our manufacturer during our initial launch into the market, but will continue to partner with additional 3D-printing companies as our business grows. Due to our unique manufacturing approach, all hospitals, regardless of their size, will be able to order and quickly receive PAPRs, lowering the impact of the current shortage. In order to supply the auxiliary materials such as motors, batteries, and more, we plan to initiate company partnerships with large corporations such as 3M, Dyson, Black and Decker, GE, Cuisinart, Hitachi, Makita, Shop Vac, Hoover, Bissell, Shark, iRobot, and Bosch.
Additional Video
https://youtu.be/iFMtzt52BEQ
Appendix and Citations
Click here!
Website
paPURE Website
Built With
3dprinting
cad
cpap
p100 | paPURE | paPURE is a hospital accessible PAPR Technology utilizing 3D printing and readily available hardware to give healthcare's frontline the gold standard of personal protective equipment right now. | ['Sanjana Pesari', 'Hannah Yamagata', 'Sneha Batheja', 'Joshua Devier'] | ['2nd Place Overall Winners', '1st Place', 'The Wolfram Award', 'The Best Business Idea', '3rd Place Hack', 'Best COVID-19 Hack'] | ['3dprinting', 'cad', 'cpap', 'p100'] | 16 |
10,038 | https://devpost.com/software/operational-remote-identification-of-diseases-covid-19-tfwpqg | Biohazard COVID-19
Decision - enter data: foto, temperature, pressure and etc.
Inspiration
OPERATIONAL REMOTE IDENTIFICATION OF DISEASES
What it does
OPERATIONAL REMOTE IDENTIFICATION OF DISEASES (COVID – 19)
How we built it
IDENTIFICATION OF INFORMATION BY COMPARISON OF STRUCTURED MASSIVES
Challenges we ran into
Rapid remote identification of diseases, collection, processing and analysis of information to ensure timely provision of emergency medical care
Accomplishments that we're proud of
certificate of authorship UA № 91811
What we learned
Patent applications UA а 201908606, u 201908607 Method for analyzing and identifying information
What's next for
Online remote identification of people with fever (COVID – 19)
ANALYSIS AND FORECAST OF THE MARKET
Built With
api
c#
mathlab
python
tensorflow
Try it out
defin.zzz.com.ua | OPERATIONAL REMOTE IDENTIFICATION OF DISEASES (COVID – 19) | OPERATIONAL REMOTE IDENTIFICATION OF DISEASES | ['Kamel Pawelsky', 'Nick Dubovikov'] | [] | ['api', 'c#', 'mathlab', 'python', 'tensorflow'] | 17 |
10,038 | https://devpost.com/software/data-visualization-and-crowd-analysis-using-ml-techniques-uihq1o | User App - Home Screen
Splash Screen
Website
Admin App - Authentication
Admin app - Limit Entry
In recent years, the human population is growing in extreme rate and hence the growth has indirectly increased the incidence of the crowd. There is a lot of interest in many scientific research in public service, security, safety and computer vision for the analysis of mobility and behavior of the crowd. Due to a crowded crisis, there are large crowds of confusion, consequence in pushing, mass-panic, stampede or crowd crushes and causing control loss. To prevent these fatalities, automatically detection of critical and unusual situations in the dense crowd is necessary. People visiting various malls and students studying in universities face a lot of difficulty because of the rush. So far there has not been any significant improvement to tackle this problem effectively. Our project aims to tackle this issue by providing a system for collecting, processing and visualizing the crowd behaviour. The end result of our system is a web and app user interface where users can browse through a range of information related to the crowd distribution and crowd movement within a campus and a city.
This project combines the power of Wifi devices, Big data, Machine learning and Data Visualization techniques to promote smart living and management. The main idea of this project is to analyze the CCTV in real time and tracking the Wifi probe requests of users for automatically sensing the crowd distribution and to provide statistical data to the users. The use of big data is to analyze and predict the level of crowdedness among the various places in the city and inside the campus also. It also captures the crowd movement to locate critical and crowding spots effectively. Furthermore, it monitors the crowd conditions and waiting time at important locations such as bus stops, railway stations, airports, religious places, campus canteen and uses Artificial Intelligence techniques to predict the upcoming crowd. For example, people can check the current crowdedness conditions and waiting time at bus stations and make smarter decisions on their mobility. Through big data analysis, people can not only compare the crowdedness but also can avoid the peak hours by AI prediction.
Crowd detection and density estimation from crowded images have a wide range of application such as crime detection, congestion, data driven smart campus, public safety, crowd abnormalities, visual surveillance, urban planning, bus stations, restaurants and various other places. Nowadays, crowd analysis is the most active-oriented research and trendy topic in computer vision. As a result, it will definitely help to make emergency controls and appropriate decisions for security and safety. This system can be used for the detection and counting people, crowd level and also alarms in the presence of dense crowd.
The objectives of this project are: Develop an automated system for collecting and processing input data. Develop algorithms for observing the crowd size in various places and predicting the crowd. Raise alarms in the case of over crowdedness. Design and build database for data storage. Build an intrusive app and web user interface for visualizing the crowd distribution and crowd movement information.
Thus, our project handles the difficult issue of including the quantity of items in pictures, a universal, principal issue in computer vision. While people and computer vision calculations, are profoundly blunder inclined, our algorithms and IOT devices consolidate the best of their abilities to convey high accuracy results at moderately low expenses providing an effective solution for this imminent problem. All these are back-end working of a web interface and a app that allow authorized person to sign in and gather the details about the targeted location from anywhere.
Built With
ai
android-studio
app
cctv
css3
firebase
html5
java
javascript
json
location
maps
python
pytorch
regression
sdc-net
twilio
website
xml
Try it out
github.com
he-s3.s3.amazonaws.com
drive.google.com | Gods Eye | Crowd monitoring and forecast using ML techniques. Real time analysis of crowd, traffic and crops by using AI in CCTV footages | ['Rithik Jain', 'Vimal Kumar', 'Vijay Krishnaa', 'Godi SaiTeja'] | [] | ['ai', 'android-studio', 'app', 'cctv', 'css3', 'firebase', 'html5', 'java', 'javascript', 'json', 'location', 'maps', 'python', 'pytorch', 'regression', 'sdc-net', 'twilio', 'website', 'xml'] | 18 |
10,038 | https://devpost.com/software/smart-ventilators-pq2nwa | Side View Of the final Ventilator Attachment assembly in FUSION 360
Side View Of the final Ventilator Attachment assembly in FUSION 360
Top View Of the final Ventilator Attachment assembly in FUSION 360
Isometric View Of the final Ventilator Attachment assembly in FUSION 360
Isometric view Of the final Ventilator Attachment assembly in FUSION 360
Back View Of the final Ventilator Attachment assembly in FUSION 360
this is the actual 4T arrangement sitting inside the model
Valve with inlet and outlet pipe
Inspiration
As we know the world needs a helping hand in this difficult time period and ventilator shortage is a really big issue across globe. I come from India where we have only 20,000 ventilators for 1.3 billion population which is almost 1 ventilator for every 65,000 people. This condition inspired me to do something for the humanity, since i am doing mechanical engineering I targeted mechanical ventilators and tried to increase its efficiency to the fullest
What it does
I have made and special attachment which can be attached to any ventilator. this attachment is nothing just a simple 4T pipe splitting into 4 at the end which can be attached to the outlet of ventilator to use a single ventilator for multiple patient. Now the hack is that I have attached an unidirectional flow control valve at the ends of these junction this allows us to control pressure in each pipe an also stops cross contamination which enables it to be used in any situation irrespective of the type of patient we have
Also all these flow control valves are connected to micro controller which is further connected to an APP which enables a single doctor to regulate many ventilators and much more patients just through a tap of a button in the app
How I built it
I used Autodesk Fusion 360 to design the 4T pipe and the flow control valve and used the same software for the assembly of the same (4T pipe and unidirectional flow control vale )
Further I have Made and entire assembly which exactly reflects how the real world attachment will look like
I did flow simulations on ANSYS and used ANSYS Fluent tool for taking out computational fluid dynamics of the flow and taking out different pressures and calibrations to achieve a viable scale for the APP
IOT part is done on Arduino micro controller and IOT modules like Node MCU etc for the control of these valve
Making an APP for this setup so that the doctor can control all of them through an APP
Challenges I ran into
TO find appropriate pressure stats for an ventilator and developing perfect calculations for the pressure calculations
Since I am a mechanical engineer so i don't have much knowledge of these IOT although i have made a simple IOT model in Proteus but i wasn't able to make a very good code for the same
The biggest challenge with which i am still struggling is to build the APP due to no knowledge of the APP i am searching for someone who can help me in coding aspects of IOT and building APP part for the project
What I learned
A lot more about fluid dynamics, building equations and getting results out of iy. Tackling new challenges like methods of stopping cross contamination without any additional part . Generating an ideas so that it can meet every aspect like cost, application, etc
What's next for Smart Ventilators
Trying to build a really good APP for it and refining codes for IOT part so as to make the system more and more effective and easy to use
Built With
autodesk-fusion-360
cfd
iot | Smart Ventilators | The idea is to optimize a single ventilator multiple patient system and reduce the need of ventilator assistance doctors by providing an app to control these valve from anywhere any time | ['Akash Pandey'] | ['Wolfram Honorable Mention'] | ['autodesk-fusion-360', 'cfd', 'iot'] | 19 |
10,038 | https://devpost.com/software/selbstverantwortlicher-umgang-mit-viren | Betroffene Organe
Konflikterleben der Beziehungskonflikte
Ein paar Worte über mich vorneweg
Als Diplommathematikerin, die sich jetzt seit einigen Jahren auf die Erforschung der Medizin spezialisiert hat, habe ich an vielen der aktuellen Studien folgende Kritikpunkte:
Krankheiten werden aktuell als zufällig den Menschen überfallendes Schicksal angesehen. Wenn auf diese Grundbasis medizinische Studien und Statistiken aufgesetzt werden, kommt medizinische Esoterik raus. Da hilft es nicht, wenn da Prof.s unterschreiben und es sich medizinische Doppelblindstudie nennt.
Um so tiefer wir den Kopf in den Sand der Details stecken, um so mehr verschwindet der Überblick. Es wird aktuell viel über Viren diskutiert. Was ich dort vermisse ist ein Verständnis der Aufgabe des Virus im Körper, wieso er zu Person x kommt und das auch noch am Tag y und dann genau diese Symptome produziert.
Es gibt keinen Menschen, der "die Wahrheit" kennt. Wir haben alle unser fundiertes Halbwissen und verbreiten interessante Ansichten, aus der ganz eigenen persönlichen Sicht der Welt.
Studienaufbau im Studiennetzwerk für integrative Medizin
Die menschliche Sicht und menschliches Handeln ist immer subjektiv, da wir fühlende Wesen sind.
Wieso kommt ein Mensch auf die Idee, das zu tun, was er tut?
Welches Weltbild ist dahinter?
Was versucht er zu erreichen?
Das sind die Axiome, die auf der mathematischen Ebene die Welt des einzelnen gestalten und sein Drama.
Wissenschaft fängt bei diesen Grundaxiomen an. Diese müssen klar und biologisch logisch definiert werden.
Dort braucht es Modelle mit klaren Ursache-Wirkung-Beziehungen. Die verschiedenen Modelle müssen in einem logischen Prozess integriert werden. Das ist ein wichtiger Aspekt einer integrativen Medizin
Erst auf diesen Modellen können sinnvoll medizinische Studien aufgesetzt werden.
Wenn ein Modell klar und stabil ist, dann lassen sich darauf Hypothesen aufsetzen, die zu 100% erfüllt sein müssen.
Jede Widerlegung einer Hypothese braucht eine Korrektur des Modells, das neue Stabilität bringt und zu einer angepassten Hypothese führt.
Inspiration
Die Studie zu Ansteckung und Vererbung ist gestartet am 27.11.2019.
Mit folgendem Video habe ich dazu eingeladen:
https://vimeo.com/375861959
In der Corona-Krise habe ich gelernt
Die Erkenntnisse lassen sich nur dann klar mit mathematischer Logik zusammenfassen, wenn wir uns klar ausrichten:
auf Gesundheit (anstatt auf Prävention / Diagnose und Therapie von Krankheiten)
auf Unterstützung der Selbstverantwortung (anstatt auf staatliche und wissenschaftliche Abhängigkeit und kluge Ratschläge)
auf ein Miteinander in wirtschaftlicher Stabilität (anstatt auf Konkurrenzkampf und Schwächung der Wirtschaft)
Bereits gesammelte Ideen für das Verhalten vor dem Hackathon
Ergebnis im Hackathon #EUvsVirus
Von Abstandsregeln zur selbstverantwortlichen Achtsamkeit
Corona-Stress-Abbau durch Klopftechnik
Umgang mit eigenem hohem Risiko
Fakten und Fragen zu Impfungen
Stabilität durch das Herstellen der Verbindung zur eigenen Wahrheit
Modell der 5 biologischen Naturgesetze begreifen
Nachweis, dass der mediale Hype Covid-19 auslöst
Bereits gesammelte Ideen für den Immunitätstest
Schafft es der Corona-Virus dich krank zu machen?
Immunitätstest durch Bewusstwerdung der eigenen Blockaden
In diesem Hackathon habe ich die bisherigen Erkenntnisse zusammengefasst
Hier in diesem Video erkläre ich sie:
https://vimeo.com/419674253
Wie geht es weiter?
Ich lade dich ein, deine Erfahrungen einzubringen.
Ich lade dich ein, das Video weiter zu geben, und es von den Experten deiner Wahl prüfen zu lassen.
Ich freue mich auf Rückmeldungen dazu.
Ich integriere das neue Wissen und die Erfahrungen.
Ich veröffentliche weitere Zusammenfassungen.
Ich freue mich auf die Verbindung unserer Visionen in einer Neuausrichtung des Gesundheitssystems auf Gesundheit, auf Unterstützung der Selbstverantwortung und auf ein Miteinander in wirtschaftlicher Stabilität.
Was ist sonst noch möglich? Welche Ideen hast du?
Built With
wordpress
Try it out
findewissen.de | Bring dich in die Studie zu Ansteckung und Vererbung ein | Es gibt viel Wissen, Weisheit und Erfahrungen rund um Ansteckung und Vererbung. Wir integrieren es auf der Basis mathematischer Logik. | ['Gudrun Dara Müller'] | [] | ['wordpress'] | 20 |
10,038 | https://devpost.com/software/step-out-crisis-now | What is necessary to reach goal #StepOutCrisisNow?
Our world and our health care system are in urgent need of help:
the focus on health and the strengthening of self-healing powers
the focus on the inner and outer balance
asking the right questions so that healthy spaces are opened
the integration of the knowledge of all research and medical disciplines
the integration of the experiences of people who have experienced illness themselves
the integration of our connection to nature
the creation of healthy communities that enable women to raise their children in good health
supporting doctors and patients to see that and how health can become possible
a prevention that understands how nature works and how it is intended
a manual for the body and our brain
a guideline for health and healing
a path that can be taken together and that is clearly focused on health and the strengthening of self-healing powers
Everything is possible in the field of health, if we manage to work together.
What do you need for this?
I'm mathematician.
I like mathematical logic, physics and natural science.
The basis of my view of 'healing as science' are models with clear cause-and-effect relationships.
These models offer a secure basis for integration and a clear orientation.
This makes it possible to integrate different medical perspectives in such a way that we can create a stable health system that creates health.
Study group for integrative medicine
is a network of human like health and wellbeing
in the centre is self-responsible person and what he needs to stay and become healthy
Research focuses on the strengthening of the self-healing powers and what we can do to create a healthy environment
What have we done in the Challenge #EUvsVirus?
In Challenge we prepared projects to empower people.
We created Facebook-Page:
https://www.facebook.com/StepOutCrisisNow/
In integration after Challenge
With our studies we accompany the exit from the crisis!
The way: From rigid distance rules and mask duty to self-responsible attentiveness
Im aktuellen Hackathon
Integration der Erkenntnisse in die Studie zu Ansteckung und Vererbung des Studiennetzwerks - siehe dazu das Projekt
Aufbau von Selbsthilfegruppen zur wirtschaftlichen Stabilisierung - siehe dazu das Projekt
Next Steps into the future:
Finden von Menschen, die das Gesundheitssystem mit der Neuausrichtung auf Gesundheit, Unterstützung der Selbstverantwortung und einem Miteinander in wirtschaftlicher Stabilisierung aufbauen wollen
Finden von Politikern, die uns dabei unterstützen
Built With
wordpress
Try it out
findewissen.de | Step out Crisis now | Are your ready to step out the crisis right now? Ready to find a fast, gentle way to empower us to get out of the crisis into health? With our hearts united we can joyiously fly to GLOBAL WELLBEING? | ['Gudrun Dara Müller', 'stefan-sohst'] | [] | ['wordpress'] | 21 |
10,038 | https://devpost.com/software/going-together-from-corona-crisis-to-freedom | Studiennetzwerk für integrative Medizin
Inspiration
Wenn wir gesund werden und bleiben wollen, müssen wir der Seele im Körper einen Raum schaffen, in dem sie sich sicher und geborgen fühlt.
Erst dann ist unser Immunsystem stark und wir effektiv handlungsfähig, um unsere Visionen wahr zu machen.
Was ist dazu im Außen notwendig?
Ich brauche dazu ein Gesundheitssystem, das sich klar ausrichtet:
auf Gesundheit
auf Unterstützung der Selbstverantwortung
auf ein Miteinander in wirtschaftlicher Stabilität
Da es das Gesundheitssystem nicht gab, habe ich dafür im Hackathon eine Basis gelegt und das Studiennetzwerk für integrative Medizin erschaffen, um beim Aufbau so eines Gesundheitssystems zu unterstützen.
Selbsthilfegruppen für die Unterstützung auf dem Weg zur Gesundheit und um gesund zu bleiben
Unterstützung durch einen Begleiter zur Gesundheit, Arzt, Heilpraktiker, Gesundheitscoach, ...
Unterstützung durch das Studiennetzwerk für integrative Medizin, damit die Gesundheit des Einzelnen nicht am eingeschränkten Blickwinkel des Unterstützers scheitert
Investition in Gesundheit mit Produkten, die die Unterstützer durch Provisionszahlungen wirtschaftlich stabilisieren und ihnen ein Grundeinkommen ermöglichen, damit sie nicht mehr von den Krankheiten anderer Menschen abhängig sind
durch Unterstützung anderer Menschen kann sich jeder auf diese Weise ein Grundeinkommen aufbauen
Wie setze ich es für mich um?
Ich nähre dazu meinen Körper mit den Aminosäuren nach, die in der Muttermilch einer angst- und sorgenfreien Mutter für die Reife des Kindes und die Stabilisierung seines Nervensystems gebildet werden.
(Diese werden Transferfaktoren genannt.)
Ich stärke meinen Körper, seine Organe und Energiezentren (Chakren).
Ich lerne in einer Selbsthilfegruppe, Beziehungen ganzheitlich zu erfahren, darin glücklich zu sein und mich entspannt darin zu bewegen
Ich nutze dafür die Produkte des Unternehmens 4Life, da dieses Unternehmen mir die Möglichkeit bietet, mit Produkten hoher Qualität in meine Gesundheit zu investieren und mir durch Unterstützung anderer Menschen ein Grundeinkommen aufzubauen.
Wie unterstütze ich andere dabei, es für sich umzusetzen?
Dafür verbinde ich die Vision des anderen und sein Unterstützungsangebot an andere Menschen mit dem Studiennetzwerk.
Die erste Selbsthilfegruppe wurde gemeinsam mit Jochen Hahn gegründet:
https://vimeo.com/419277381
What's next for Gründung einer Selbsthilfegruppe des Studiennetzwerks
Weiterer Aufbau der Selbsthilfegruppe mit Menschen, die Lust haben mitzumachen und ihre Visionen mit zu integrieren
Aufbau einer Webpräsenz für das gemeinsame Netzwerken
Übersetzung in andere Sprachen
Was ist sonst noch möglich? Welche Ideen hast du?
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investiereingesundheit.de | Gründung einer Selbsthilfegruppe des Studiennetzwerks | Ziel ist es, gemeinsam auf dem Weg zur Gesundheit zu gehen und sich dabei ein Grundeinkommen durch Investitionen in Gesundheit aufzubauen. | ['Gudrun Dara Müller'] | [] | ['wordpress'] | 22 |
10,038 | https://devpost.com/software/we-bring-our-visions-together | Goal of #WeConnectOurVisions
We connect our visions to establish a resilient economy model for all.
To develop a resilient financingmodel for health systems, comunities, social organisations, companies and for individuals (personal income)
We have a great knowledge
Let's use it to co-create a new world
What do we do
Resilient economy needs resilient people united!
Resilient human needs resilient body and mind!
Investment in healthy body and mind creates a healthy future
We support you to create your economical stability based on investing in your health and supporting people
We support you to create a new and resilient business model.
We create Win-Win-Situations with physicians, medical centers, entrepreneures, visionaries, humans that love health, you
We connect you with research so that more and more people can become healthy
We create healthy communities with healing as a natural science
We have an open mind to create a new world together
Challenge developed to connect visions
https://fragdichgesund.de/fragebogen/wir-entscheiden-uns-fuer-zusammenarbeit-fuer-die-gesundheit-aller-wesen/
Im aktuellen Hackathon
Start der Zusammenarbeit in der ersten Selbsthilfegruppe - siehe Projekt
Next Steps into the future:
Stabilisation of the prototype
https://investiereingesundheit.de/
Together to economic stability
https://devpost.com/software/together-to-economic-stability
Create personal income
https://devpost.com/software/create-personal-income
Step Out Poverty Now
https://devpost.com/software/step-out-poverty-now
We have created projects in challenge to unite for the future:
Be a part of it.
You can find them here:
https://devpost.com/dara130?ref_content=user-portfolio&ref_feature=portfolio&ref_medium=global-nav
https://findewissen.de/dara/blog/oekonomische-nachhaltigkeit-im-gesundheitssystem/
The project plan where I started:
https://lebeselbstverantwortung.de/
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investiereingesundheit.de | We connect our visions | We all have great visions to heal the world and to re-create healthy environment. Can you imagine the power that develops when we look into the future together and combine our visions? | ['Gudrun Dara Müller', 'vanmarkic Markovic'] | [] | ['wordpress'] | 23 |
10,038 | https://devpost.com/software/create-healthy-community | Was ist eine gesunde Gemeinschaft?
Dein Körper braucht für seine Gesundheit ein soziales Zugehörigkeitsgefühl.
Deshalb ist deine ganz persönliche gesunde Gemeinschaft, genau die Gemeinschaft:
in der du dich wohl fühlst
in der du dich mit deinen ganz persönlichen Stärken einbringen kannst
in der du gesehen und geachtet wirst
in der deine spirituelle Sicht und deine Wahrnehmungen gehört und verstanden werden
in der du in die Verbindung mit deinem Wesenskern, deiner Religio finden kannst.
D.h. anstatt vom Wohlwollen anderer Experten, Gurus und Götter abhängig zu sein, wirst du als Führer deines eigenen Lebens angesehen und in dieser Rolle gestärkt
in der dir deine Fehler und menschlichen Schwächen vergeben werden
in der die Selbstheilungskräfte deines Körpers gestärkt werden
D.h. anstatt Diagnose und Therapie von Krankheiten, wirst du bei Krankheit egal welcher Art unterstützt und gestärkt, so dass du wieder gesund werden kannst
Wichtige Information für Eltern!
Als Vater ist es wichtig, dass du deiner Familie eine gesunde Gemeinschaft im Außen bietest, damit dein Kind gesund aufwachsen kann.
Sprich mit deiner Frau darüber, was für sie passt!
Ihr Zugehörigkeitsgefühl zur Gemeinschaft ist wichtig für die Gesundheit eures Kindes!
Das verhindert, dass es zu Kinderkrankheiten kommt und sich Reifestopps beim Kind manifestieren.
Die Reifestopps der Kindheit sind die Ursache für eine Vielzahl von Erkrankungen im Alter!
Die Reifestopps der Kindheit sind die Ursache für eine Vielzahl von sozialen Entgleisungen!
Im Modell der 5 biologischen Naturgesetze zeigt sich das in den Konstellationen der Revierbereiche.
Im Alter diese Reifestopps aufzuarbeiten ist mühsam, deshalb fangt im Interesse eures Kind und der Gesellschaft bei der Prävention ganz am Anfang an!
Wir unterstützen euch gern dabei.
Heilung als Naturwissenschaft – die Gemeinschaft des Studiennetzwerks für integrative Medizin
Wer Gesundheit liebt, kommt ins Studiennetzwerk für integrative Medizin!
Wir integrieren das Wissen aller Medizinrichtungen, so dass jeder einen für sich passenden Weg zu Gesundheit und Heilung findet.
Wir integrieren die Bereiche Bildung, soziales Engagement und Wirtschaft, so dass jeder sein Leben über Investitionen in seine Gesundheit absichern kann und sich selbstverantwortlich ein Grundeinkommen aufbauen kann.
Im aktuellen Hackathon
Aufbau der ersten Selbsthilfegruppe als Basis einer gesunden Gemeinschaft - siehe hier im Projekt
What's next for Create healthy community
Finden von Menschen, die Teil einer gesunden Gemeinschaft sein wollen und diese mit aufbauen wollen
Weiterentwicklung von Heilung als Naturwissenschaft, damit immer mehr Menschen einen Platz in dieser Gemeinschaft finden können
Plattform aufbauen und gestalten (Prototyp:
https://thanknet.de/
)
gemeinsam netzwerken in einem neuen Miteinander
Räume, die in Facebook bereits geöffnet sind und ausgebaut und genutzt werden können:
https://www.facebook.com/GemeinsamNetzwerken/
https://www.facebook.com/thanknetde/
https://www.facebook.com/groups/thanknetde/
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thanknet.de | Create healthy community | Gesunde Gemeinschaften sind die Basis eines gesunden Ökosystems. Für uns als Ärzte, Heilpraktiker, Heiler, Coaches, Gesundheitsschaffende, ... sind sie die Vorbedingung unserer effektiven Arbeit | ['Gudrun Dara Müller'] | [] | ['wordpress'] | 24 |
10,038 | https://devpost.com/software/create-personal-income | What is the end-goal of our solution?
A healthy world without poverty in 2050.
Global problem, as the crisis has shown
(1) We have a financing problem and consequently a problem in cooperation. Research and politics are driven by profit interests and have lost sight of people and therapists.
See for this project:
https://devpost.com/software/integrate-corona-knowledge
(2) We have a collapse of companies because they did not have the economic stability to survive the crisis. This will lead to an increase in poverty if we do not find a global solution there.
(3) Concern about risk patients is currently blocking an end to the crisis. These have arisen because our health care system has become rigidly focused on the diagnosis and treatment of diseases instead of bringing people into contact with their self-healing powers and into self-responsibility.
Our solution starts at the root cause
We are people who have a deep need for health.
We build up a basic income by investing in our own health.
The basic income flows if we support and strengthen our body and provide for its wellness and help others to do the same. It comes from the provision of the products we use.
Our sense of health is based on the 3 basic pillars: stability, flexibility and joy, which rest on a foundation of self-confidence. We strengthen these pillars.
We support this technically so that the choice is easy for us and daily support is easy.
In this way we create a healthy community that is well equipped for the future because it strengthens the basic pillars of health.
Look here:
https://vimeo.com/411945774
The preconditions are fulfilled
Solution is novel:
(1) It contains a novel concept for the maintenance and stabilization of health based on healing as a natural science and the 3 pillar concept of self-healing and potential development.
(2) It contains a novel concept for the creation of a basic income all over the world.
(3) It contains a new concept of supporting cooperation for our global health.
Solution is technically-sound:
For the solution to be easy, we need technical support in all areas. website, apps, etc. It is a space for a lot of creativity.
Solution is factually-based, realistic, and ultimately implementable:
You can use it now.
We have a prototype-website:
https://investiereingesundheit.de/
We have a path with steps and guideline:
https://findewissen.de/dara/blog/aufbau-von-gesundheitlicher-sozialer-und-finanzieller-stabilitaet-mit-dem-studiennetzwerk/
We found teammates and started cooperation and app-design.
Here is the mindmap in which we bring our ideas together:
https://mind42.com/public/1063e0eb-8a48-4553-a736-7661ddf29b2e
What we do in this Hackathon
Establishment of the first self-help group - see project
FAQ - Frequently ask questions
How does our path to health work?
It is a journey to the inner center. A journey to yourself. A journey into the trust we have lost through many expert opinions and failed attempts. It brings us into contact with our body wisdom and our self-healing powers, which are always there and have always been there. The questions that we ask of life open up spaces that we then explore in our time. With this we create a new reality based on gratitude, body support and lived humanity.
Where is the source of the money for the basic income?
The money comes from provision from companies whose products we use. --> Network-Marketing
On start we have 3 pillars to save health:
Stability: Company 4Life:
https://www.4life.com/
Flexibility: Company Kannaway / Medical Marijuana Inc.:
https://www.medicalmarijuanainc.com/
Joy: Company Young Living:
https://www.youngliving.com/
Do people make a profile including their personal medical info?
You need one of these? Since there are no diseases here, nothing is static. It could change any minute. We arrange guides to health that help people to get healthy.
What's next for Create personal income
Design and create an app thats supports us
I can deliver the content. For everything else I need support.
Finding members to use it.
What else is possible?
We are open for creative ideas.
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investiereingesundheit.de | Create personal income | Creating an easy way for everyone to build a personal income by investing in their health. I develope a resilient financingmodel for health systems, comunities, social organisations, companies, ... . | ['Gudrun Dara Müller', 'Jonah Samuel'] | [] | ['wordpress'] | 25 |
10,038 | https://devpost.com/software/integrate-corona-knowledge | Zusammenfassung der traumatischen Ursachen von META-Health International
Inspiration
Ich habe die Erfahrung gemacht, dass die Erkenntnisse der Patienten nicht zu den Ärzten und die Erkenntnisse der Ärzte nicht zu den Wissenschaftlern kommen. Dadurch arbeitet die Wissenschaft aktuell noch häufig am Interesse der Ärzte und Patienten vorbei.
Die Wissenschaftler postulieren dann ihre Ansicht als 'Wahrheit' ohne Rückkopplung mit den Menschen, die eine andere Ansicht als 'ihre Wahrheit' vertreten.
Das ist eine Ursache, dass die Corona-Krise ewig dauert und nicht zu Ende kommt.
Das war ein Ergebnis des Projekts #StepOutCrisisNow bei #EUvsVirus:
https://devpost.com/software/step-out-crisis-now
Deshalb habe ich aktuell meine Praxis für Gesundheitssuchende geschlossen und arbeite am Aufbau des Studiennetzwerks für integrative Medizin, das genau dort ansetzt.
Beispiele
Wissenschaft:
Aktuell werden Krankheiten und Mikroben erforscht.
Praxis:
Ich habe wie viele andere Ärzte und Therapeuten die Erfahrung gemacht, dass wir vor uns keine Maschinen mit Krankheiten oder Viren sitzen haben, sondern Menschen mit Symptomen, die sich aufgrund ihres Lebens und der Prozesse in ihrem Körper in der Zeit verändern.
Die verschiedenen Phasen benötigen von uns ein angepasstes Vorgehen, genau so wie jeder Mensch mit seiner individuellen Wahrnehmung abgeholt werden möchte.
Wissenschaft:
Aktuell werden Therapien und Leitlinien zum Kampf gegen die Krankheit empfohlen.
Praxis:
Zu mir kommen Menschen, die wissen möchten, wie es zu diesen Symptomen kommt, wieso diese genau so sind und nicht anders und wieso diese genau jetzt auftreten und nicht dann, wenn es besser in den persönlichen Zeitplan passt.
Die Menschen möchten wissen, wie sie ihre Selbstheilungskräfte unterstützen können, so dass ihr Körper schnell gesund wird.
Wissenschaft:
Aktuell wird krampfhaft nach einer Impfung zur Prävention von Covid-19 gesucht.
Praxis:
Zu mir kommen Menschen, die vollständig gesund bleiben wollen, ihr Leben lang. Was soll ich dafür mit einer Impfung gegen eine Vire, die sich Jahr für Jahr wandelt? Es gibt davon Milliarden auf dieser Welt.
Wissenschaft:
Es werden uns Statistiken als endgültige 'Wahrheit' verkauft. D.h. es wird behauptet, dass etwas so ist, obwohl es nicht für 100% stimmt. Es gibt einen Konkurrenzkampf, um das beste Produkt und die größten Marktanteile.
Praxis:
Was nützt es mir für meine Entscheidungen, wenn ich nicht weiß, ob ein Mittel für meinen Patienten passt oder ob er zu den 20% gehört, für die es nicht funktioniert, sondern Nebenwirkungen produziert?
Genau bei diesen Fällen brauchen wir Unterstützung von der Forschung, damit wir einem Menschen immer wieder neue Türen zur Gesundheit öffnen können.
Unser Weg im Studiennetzwerk: Verbindung von Wissen statt Patentrecht
Verbindung von Wissen heißt „Ich biete Möglichkeiten, dass jeder sein Wissen und seine Ideen mit einbringen kann. Für Dinge, die für einen unmöglich erscheinen, hat ein anderer bereits eine Lösung gefunden.“
Patentrecht heißt „Ich bin der Beste und diesen Platz darf mir keiner nehmen. Es ist eine Sackgasse für neues Wissen. Die Folgen sind Unterdrückung neuer Erkenntnisse und brachliegendes Potential.“
Für die wirtschaftliche Stabilisierung wissenschaftlicher Forschung gibt es das Projekt:
https://devpost.com/software/we-bring-our-visions-together
Dadurch ermöglichen wir in der Zukunft Forschung, die den Menschen dient und nicht von Profitinteressen gesteuert wird.
Ziel des Projekts
Ich möchte in diesem Projekt Wege erarbeiten, wie wir die Kommunikation jetzt für Covid-19 hinbekommen.
Diese sollen so gestaltet werden, dass wir es für die Zukunft etablieren können.
Meine Arbeit an diesem Projekt
Sammlung der Erfahrungen bei Therapeuten und naturwissenschaftlich Interessierten meines Netzwerks
Integration des Wissens
Abgleich gegen die mathematischen Modelle des Studiennetzwerks mit klaren Ursache-Wirkung-Beziehungen
Formulierung von Studienanfragen an die Forschung
Aktuell im Hackathon
Integration der Erkenntnisse in die Studie zu Ansteckung und Vererbung des Studiennetzwerks - siehe dazu das Projekt
What's next for Integrate Corona-knowledge
Dafür brauche ich Unterstützung im technischen Bereich
Erstellung von Fragebögen für die Patienten, die bereits Covid-19 hatten / noch haben / die Partner und Hinterbliebenen
Finden und befragen der Menschen, die dahinter stehen und die Erfahrung gemacht haben und deren Angehörige und Ärzte, Pfleger
Sammlung der Patientendaten
Verbindung mit anderen Forschungsrichtungen (Wir möchten Klarheit darüber, was dort in den Körpern passiert ist.)
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findewissen.de | Integrating Corona-knowledge | Das Ziel dieses Projekts ist es, das Wissen und die Erfahrung der Therapeuten rund um die Corona-Krise der Wissenschaft und anderen Fachbereichen zugänglich zu machen. | ['Gudrun Dara Müller'] | [] | ['wordpress'] | 26 |
10,038 | https://devpost.com/software/destroy-fakenews-effectively | Ergebnis unserer Forschungen im Studiennetzwerk für integrative Medizin
Wie entstehen FakeNews?
FakeNews, Lügen u.ä. entstehen automatisch in unserem Gehirn, wenn wir unser inneres Gleichgewicht verlieren.
Wie das im Gehirn passiert und was dann getan werden kann, findest sich
hier in diesem Beitrag
Die größten FakeNews des Gesundheitssystems
(1) Der Glaube an die Existenz von Krankheiten ist die größte FakeNews auf die wir seit Generationen reingefallen sind.
Weder im eigenen Körper noch in den Körpern der Patienten ließen sich je Krankheiten wahrnehmen. Es waren immer nur Symptome zu erkennen, die sich in der Zeit verändern. Diese Symptome korrelieren mit den Änderungen im Verlauf des Lebens des Menschen.
(2) Die Verschiebung der Schuld an Symptomen auf Mikroben, Viren, Erbanlagen und andere Menschen hat uns in der Vergangenheit unserer Macht beraubt, unser Leben so zu verändern, dass wir ein Leben lang gesund bleiben können.
Was haben wir in vorherigen Hackathons bereits getan?
Aufbau des Centers of competence. Dort integrieren wir verschiedene Perspektiven zu einer integrativen Medizin.
Du findest es hier
Aufbau der Plattform FragDichGesund.de, auf der Menschen Fragen stellen können, die in einer integrativen Medizin beantwortet werden
Du findest sie hier
Zugang zur Ursachenforschung für jedermann
Du findest ihn hier
Gesundheitsversicherung in Selbstverantwortung. Dort lernen wir es, in unserer Mitte zu bleiben und mit anderen Menschen zu kommunizieren.
Du findest sie hier
Was haben wir in diesem Hackathon getan?
kurze klare Zusammenfassung der FakeNews-Quellen der offiziellen Seite und Hintergründe der Corona-Krise im obigen Video
FakeNews-Quellen der alternativen Seite eingebunden und klare Zusammenfassung des Themas auf der Plattform FragDichGesund.de
Hier findest du das Ergebnis
Erstellung der Facebook-Seite fürs Marketing
Hier ist das Ergebnis
What's next for Destroy FakeNews effectively
Beschreibung des Aufbaus des Grundeinkommens für Investitionen in Gesundheit und Nachhaltigkeit
Zusammenarbeit zwischen Therapeuten
politische Arbeit neu gestalten
Zusammenarbeit mit Unternehmern
Was ist sonst noch möglich?
Welche Ideen hast du?
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findewissen.de | Destroy FakeNews effectively | FakeNews arise from the different views on life, our perception and our questions. These can only be solved through communication and integration of different opinions. | ['Gudrun Dara Müller'] | [] | ['wordpress'] | 27 |
10,038 | https://devpost.com/software/self-help-network-for-breast-cancer-prevention | Ausrichtung für die persönliche Stärkung
Inspiration - Wie entsteht Brustkrebs?
Brustkrebs entsteht, wenn wir es allein nicht schaffen, uns gut versorgt zu fühlen, unser Kind zu schützen, unsere Eltern zu unterstützen oder die Harmonie in unserer Partnerschaft aufrecht zu halten.
Was machen wir zur Vorbeugung im Studiennetzwerk für integrative Medizin?
Wir lassen uns nicht mehr allein und reichen uns die Hand. Wir sind gemeinsam gesund durch füreinander da sein.
Wir lernen voneinander, wie wir unsere Kinder schützen und aus der Stressfalle immer wieder schnell in die Harmonie mit uns selbst kommen.
Wir setzen uns und die Unterstützung unseres Körpers an die erste Stelle und machen damit das Mutter sein und das füreinander da sein zur bestbezahlten Berufung – mit Rentenabsicherung und Absicherung unserer Nachkommen.
Bereits umgesetzt
Wissenssammlung
Facebook-Fanpage
Im Hackathon
Aufbau der ersten Selbshilfegruppe - siehe hier im Projekt
Weiterentwicklung des Netzwerks zur Prävention und Unterstützung bei Krebserkrankungen - siehe hier im Projekt](
https://devpost.com/software/network-for-the-support-and-prevention-of-cancer
)
Weitere Erforschung der Ursachen in den Erbanlagen - siehe hier im Projekt
What's next for Self-help network for breast cancer prevention
Weitere Selbsthilfegruppen aufbauen
Integration in die Geburtsunterstützung von Müttern
Integration in die Vorsorge bei Ärzten, Gesundheitskassen und im bisherigen Gesundheitssystem
Was ist sonst noch möglich? Welche Ideen hast du?
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findewissen.de | Self-help network for breast cancer prevention | Breast cancer occurs when we cannot manage on our own to feel well cared for, protect our child, support our parents or maintain harmony in our partnership. We go together and change our world. | ['Gudrun Dara Müller'] | [] | ['wordpress'] | 28 |
10,038 | https://devpost.com/software/network-for-the-support-and-prevention-of-cancer | Inspiration
Es gibt viele verschiedene Expertenmeinungen, was im Körper los ist, wenn wir eine Krebsdiagnose erhalten.
Hier findest du eine Auswahl der vielen verschiedenen Meinungen
https://findewissen.de/dara/blog/krebs_loesungen/
Was ist bisher bereits passiert
Teilnahme an der Ausschreibung der EU:
https://selbstheilungskliniken.de/aktuelles/mitreden-in-der-politik-zum-thema-krebserkrankungen/
Aktuell im Hackathon
Festlegung der Ausrichtung:
auf Gesundheit (anstatt auf Prävention / Diagnose und Therapie von Krankheiten)
auf Unterstützung der Selbstverantwortung (anstatt auf staatliche und wissenschaftliche Abhängigkeit und kluge Ratschläge)
auf ein Miteinander in wirtschaftlicher Stabilität (anstatt auf Konkurrenzkampf und Schwächung der Wirtschaft)
Am Beispiel der Infektionskrankheiten lernen die verschiedenen Meinungen zu integrieren.
Siehe hier im Projekt
Start mit dem Aufbau von Selbsthilfegruppen.
Siehe hier im Projekt
What's next for Network for the support and prevention of cancer
Erkenntnisse für Krebserkrankungen zusammen fassen
Selbsthilfegruppen aufbauen
Integration in die Vorsorge bei Ärzten, Gesundheitskassen und im bisherigen Gesundheitssystem
Was ist sonst noch möglich? Welche Ideen hast du?
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findewissen.de | Network for the support and prevention of cancer | Illness is not a random stroke of fate, but a physiological reaction of our body to situations in our life. If you recognize how you created the symptoms, you can find your path to health. | ['Gudrun Dara Müller'] | [] | ['wordpress'] | 29 |
10,039 | https://devpost.com/software/dominators-team | Dominators-Team
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github.com | Dominators-Team | A student tracking system | ['Jos-Shan Babirye', 'AKITE JOYCE THEREZA'] | ['Scholarship'] | ['css', 'html', 'javascript'] | 0 |
10,039 | https://devpost.com/software/codequeen-tracking-system | Inspiration: building something from scratch as a beginner which will be used for years to come as well as give back to the CodeQueen community for the opportunity to learn code
What it does: automatic self registration of students and alumni, track their progress and stages of success during the boot camp, give access to career opportunities for registered users, as well as grant fast access to required information for the CodeQueen administration.
How I built it: used HTML and CSS to build and design the front-end code as well as JavaScript to make the pages responsive. The back-end code I used JavaScript to create a database for storing and retrieving registered users information, their progress as uploaded by the CodeQueen administration in the system. The team was also assigned tasks to do the work faster and focus on the most important features in the system.
Challenges I ran into: remote working stations which made collaboration hard, network and electricity issues during team calls made collaboration difficult
Accomplishments that I'm proud of: finishing all the assigned important features of the system and finishing the front-end code.
What I learned: backend code is more technical than frontend code, team work is easily accomplished with a lot of communication and co-operation.
What's next for CodeQueen tracking System: building an employer dashboard within the system, finishing all the back-end code and connecting the front-end code to the back-end
Built With
bcrypt
bootstrap
css
html
javascript
mongoose
node.js
postman
Try it out
drive.google.com | CodeQueen tracking System | Automated self registration online system for students and alumni, which can track their progress during the boot camp as well as give fast information and secure access to CodeQueen administration. | ['Paula Nakayiza'] | ['Scholarship'] | ['bcrypt', 'bootstrap', 'css', 'html', 'javascript', 'mongoose', 'node.js', 'postman'] | 1 |
10,039 | https://devpost.com/software/code-queen-hackathon-team-premier | code-queen-hackathon-team-premier
What inspired this project is the need for Educating the Children, the organization under which Code Queen programme is to have a central registration and student tracking system that is both easy to use by student and the administrators. We built this project using several programming languages for example HTML and applications like postman. One of the biggest challenges we faced was collaboration among members considering how far apart we were but this was solved through zoom where we would hold meetings coupled with a few physical meetings.
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html
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github.com | code-queen-hackathon-team-premier | a system that allows student registration and alumni tracking | ['Gloria Nansubuga', 'zi-ll ZILLAH', 'Christine Achieng'] | [] | ['css', 'html', 'javascript'] | 2 |
10,039 | https://devpost.com/software/alumni-tracker-1gh4c5 |
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landing page
signup page
login page
press section
admin dashboard
Inspiration
We have always had passion for coding, this was a good start for us to test the coding skills we acquired during the period of eight weeks.
What it does
The system allows users to view available job opportunities and also allows code queen to track the alumni.
How I built it
Shared ideas, opinions and possible solutions to existing challenges. shared UI designs and prototypes not forgetting division of work amongst ourselves with the help of our facilitator.
Challenges I ran into
Limited time, different working preferences making it hard to meet and discuss on the project progress, limited resources eg laptops, network issues, collaborating on one remote repository was challenging in that we had to create multiple repositories because of failure to merge.
Accomplishments that I'm proud of
With all the challenges we faced during collaboration, we were able to merge our work into one full system. Being able to participate in the final presentation for the hackathon.
What I learned
We learnt patience, teamwork, working for long hours and persistence.
What's next for Alumni tracker
We are planning to integrate the front with the backend, track user's attendance upon login, use student's score to generate a list of students eligible to participate in the hackathon, add authentication and authorization for different users.
Built With
bcrypt
bizag
bootstrap
css3
expres
figma
html5
javascript
mongodb
node.js
postman
Try it out
github.com | CQ_Alumni_tracker | A system to track students' status and as well display available job opportunities to users | ['Nabasirye loyce', 'Winnie Najjuma', 'persis mukyala', 'Rita Namono', 'Ritah Namugwere'] | [] | ['bcrypt', 'bizag', 'bootstrap', 'css3', 'expres', 'figma', 'html5', 'javascript', 'mongodb', 'node.js', 'postman'] | 3 |
10,039 | https://devpost.com/software/etc-alumni-data-tracker | Inspiration
Empowering young women through education and training that increases employability
What it does
Develop solutions for fellow women
How we built it
with technologies learned while at ETC
Our Github accounts are:
https://github.com/bell-code/management-system-code-queen
https://github.com/KwegemyaNorahBato/management-system-code-queen
Challenges we ran into
Little time and data availability
Accomplishments that we're proud of
Working solution for ETC alumni and staff
What we learned
Teamwork makes work easy
What's next for ETC Alumni Data Tracker
Hope to launch and deploy the product for use
Built With
bootstrap
css
html5
javascript
jquery
mongodb
node.js
Try it out
docs.google.com | ETC Alumni Data Tracker | Create automated alumni profiles and showcase them to potential employers. Make it easy for alumni to upload their cvs, view and apply for jobs posted by ETC staff. | ['Bato Norah', 'birungi sybella', 'Olive Nives Nameere'] | [] | ['bootstrap', 'css', 'html5', 'javascript', 'jquery', 'mongodb', 'node.js'] | 4 |
10,040 | https://devpost.com/software/cynteract | Funktionierender Prototyp für die Logopädie
Mockup der Plattform für die Patienten/Therapeuten
Zukunft in VR: Prototyp einer inversen Kinematik für Körpertracking
Inspiration
Ein Freund von uns erlitt in jungen Jahren einen Schlaganfall. Er musste für mehr als zwei Jahre monotone
und zeitintensive Rehabilitationsübungen durchführen.
Mit Cynteract haben wir daher eine Lösung entwickelt und zertifiziert. Mit unserem Handschuh kombinieren wir die essenziellen Übungen mit motivierenden Computerspielen.
An diesem Wochenende wollten wir diese Expertise verwenden und ein neues analoges Problem angehen. So wurden wir am Freitag von der Mutter eines 17-jährigen kontaktiert, welcher durch einen Badeunfall gelähmt wurde.
So entschieden wir uns über die Webcam von Computern die Zungenbewegung von
Logopädie
-Patienten zu erkennen. Eine Kamera ist schließlich in jedem Laptop eingebaut und kann so überall ohne Zusatzkosten zum Training genutzt werden.
Gerade in Zeiten von
Corona
sind einige Rehazentren geschlossen und die Patienten sind auf mehr Heimtraining angewiesen.
Technische Umsetzung
Ein Wochenende hatten wir Zeit, um uns in
OpenCV
(Kameradatenverarbeitung und Tracking) einzuarbeiten.
Üblicherweise muss der Patient während der Übungen ein Stäbchen mit der Zunge heben und senken.
Die Zungenbewegungen verfolgen wir nun über Farbfelder der Zunge, nachdem wir ein Gesicht zuordnen konnten.
Es wird eine Position kalibriert, um von dieser die globalen Höhenunterschiede zu bestimmen. Das Resultat verwendeten wir dann in einem einfachgestalteten Spiel.
Gamifizierung
Unser in der Unit3D-Engine programmierte Spiel ist ähnlich zu dem bekannten "Flappy Birds" aufgebaut. Das Ziel des Spielers ist es durch einen Tunnel zu navigieren, ohne Wände zu berühren. Es können Bonuspunkte auf dem Weg eingesammelt werden.
Die auf und ab Bewegungen wird durch die Höhe der Zunge gesteuert.
Leider schafften wir es zeitlich nicht mehr den geplanten
Multiplayermodus
in das Spiel zu integrieren.
Innovation / Alternative Lösungen
Uns wurde von einer Logopädin bestätigt, dass ein Bedarf von interaktiven Übungen auf dem Markt besteht. Nach entsprechender eigener Recherche sind wir lediglich auf Spiele für Kinder gestoßen, welche für die Aussprache von Wörtern diese vorlasen.
Unsere Lösung in der Logopädie differenziert sich dabei durch folgende essenzielle Aspekte:
Digital
- Das Training kann bequem am Laptop mit eingebauter oder externer Kamera durchgeführt werden.
Gemeinsam
- Die Spiele motivieren zur Therapie und könnten zukünftig Klinik- und Therapieübergreifend gemeinsam gespielt werden.
Zuhause
- Ortsunabhängig kann der Patient zuhause, in der Klinik oder im Urlaub trainieren.
Was wir gelernt haben
Wir haben die Gelegenheit genutzt und mit den erfahrenen Mentoren über unsere Pläne zu sprechen.
Dabei sammelten wir Tipps aus
drei Perspektiven
:
Krankenkasse
Von Herrn Vogt der TK haben wir wertvolle Einblicke in die Erstattung bekommen und welche Schritte man im Voraus mit der Anwendung gehen sollte.
Programmierung
Die Erfahrungen von Herrn Salb im Bereich von AR/VR haben uns bestätigt, dass eine VR-Brille nicht zu vorschnell in die Therapie integriert werden sollte.
Klinikum
Aus klinischer Sicht hat uns Frau Leppla beraten können, wie wir beispielsweise die Kosten einer aktuellen Logopädiebehandlung herausfinden können.
Was steht als nächstes für das Projekt an?
Gerne möchten wir im nächsten Schritt den Logopädie-Prototypen unserem Netzwerk an Reha-Zentren vorstellen. Bei positivem Feedback und selbstverständlich gemeinsamer Überarbeitung, würden wir die Software dann ebenfalls medizinische zertifizieren.
Im Rahmen der
DVG
(Digitales Versorgungsgesetz) könnte eine solche DiGA (Digitale Gesundheitsanwendung) wunderbar über das neue Fast-Track-Verfahren von den Krankenkassen erstattet werden.
Zukunft
Aus Spaß probierten wir uns an einem
Ganzkörpertracking
, wodurch es in der Zukunft möglich wäre auch die Rehabilitation anderer Körperteile mit hoher Präzision abzubilden. In
VR
(Virtueller Realität) ist es dem Patienten möglich sich durch das VR-Headset komplett auf die Übung zu konzentrieren und nicht durch seine Umgebung abgelenkt zu sein.
Gemeinsam mit der Universität in Heidelberg und dem Zentralinstitut für Seelische Gesundheit (ZI) in Mannheim werden wir erforschen, ob es in der virtuellen Möglichkeit sogar die Möglichkeit gibt Parameter wie die physischen Proportionen des Nutzers anzupassen. Durch eine solche Anpassung könnten physische Störungen behandelt werden.
Built With
c#
computer
cv
game
htc-vive
opencv
unity
virtual
vison
vr | Digitale Rehabilitation | Eine digitale Logopädie, welche durch motivierende Spiele und eine ortsunabhängige Plattform unterstützt wird. | ['Gernot Sümmermann', 'Manuel Wessely', 'Adam Brunnmeier'] | ['Siegerteam'] | ['c#', 'computer', 'cv', 'game', 'htc-vive', 'opencv', 'unity', 'virtual', 'vison', 'vr'] | 0 |
10,040 | https://devpost.com/software/alois-5f2ou3 | infrastructure
Wir wollen depressionserkrankten Menschen helfen. 300 Millionen weltweit und etwa 20.000 Menschen in Freiburg leiden an Depressionen. Das war Motivation genug für die Entwicklung von alois.
Depressionen sind ein weltweites Phänomen und für niemanden von uns etwas Neues. Neu für viele ist allerdings der Fakt, dass über 70% der erkrankten Menschen in Deutschland keine professionelle Hilfe erhalten. Weltweit sind es sogar über 90%. Genau diesen Menschen möchten wir helfen.
Warum erhalten Menschen in Deutschland, die an Depressionen leiden eigentlich keine professionelle Hilfe?
Die Gründe sind vielfältig und immer individuell. Die häufigsten Gründe sind jedoch, dass die Betroffenen bei der Aufsuche von professioneller Hilfe Diffamierungen in ihrem beruflichen und privaten Leben befürchten müssen. Außerdem sind sich Betroffene oftmals nicht sicher, welche die richtige Behandlungsmethode und wer der passende Psychotherapeut ist.
Der viel gravierende Ursache ist jedoch, dass Patienten oftmals wochenlang auf einen Termin für ein Erstgespräch bei dem Psychotherapeuten ihrer Wahl warten müssen und in der Zwischenzeit keine adäquate Behandlung erhalten.
Wie lösen wir das Problem?
Alois stellt eine anonyme Anlaufstelle für Betroffene. Hier können sich betroffene Menschen nicht nur über verschiedene Therapien und Krankheitsbilder erkundigen, sondern haben auch die Möglichkeiten ihre Depressionen selber in Griff zu nehmen. Dazu haben wir eine kognitive Verhaltenstherapie erstellt, die es dem Nutzer ermöglicht die Ursachen seiner Depressionen zu ermitteln.
IT-Infrastruktur & Realisierung
• Python + Django
• IBM Watson (Personality Insights, Speech-to-Text, Sentiment Analyzer, IBM Watson Assistant)
• Flutter
Mit Flutter (Dart) haben wir eine Native App für Android und iOS entwickelt. Dieses front end haben wir mit den IBM Watson Services verbunden. Dort lassen wir kleine eigene Algorithmen (Python) laufen, die beispielsweise die Gefühlslage mit der Gesprächsthematik verbinden oder den Verlauf der Depression über die Zeit ermitteln.
Herausforderungen
Das erste Mal Watson Services mit eigenem Frontend verknüpft.
Nächste Schritte
Wir möchten das Projekt gerne nach dem Hackathon weitertreiben und in Freiburg mit einer Testgruppe die App von Grund aufbauen. Zwar funktionieren die Kernfunktionen unsere App bereits, jedoch ist das Design, die UX und auch die technische Infrastruktur und Tool-Auswahl nach den Stärken der Teammitglieder entstanden und nicht zu 100% den Anforderungen der zukünftigen Nutzer gerecht. Hier würden wir gerne nachbessern und gleichzeitig Feedback von realen Nutzern erhalten.
Ressourcen
Anleitung zum Testen von alois:
https://1drv.ms/w/s!AtN-3s2EMnThgq9_ML8hqB47vMq-oQ?e=ZacDE3
Das Team
Built With
django
flutter
ibm-watson
python
Try it out
web-chat.global.assistant.watson.cloud.ibm.com | Digitale Behandlung von Depressionen | Depressionspatienten aktiv an der Therapiegestaltung beteiligen und traditionelle Behandlungsmethoden erfolgreicher gestalten. | ['Nils Puhlmann', 'Diana Awada', 'Erik Andréasson'] | ['Siegerteam'] | ['django', 'flutter', 'ibm-watson', 'python'] | 1 |
10,040 | https://devpost.com/software/lea | Inspiration
Many of our so-called widespread diseases can be counteracted with a healthy lifestyle, detailed education and targeted measures. Most of the diseases that the majority of people suffer from are not congenital, but occur in the course of life. Disease patterns such as diabetes (type 2), cardiovascular and kidney diseases, mental abnormalities (e.g. burnout), addictive behaviour and arthrosis are typical civilisation diseases in industrialised nations. When it comes to most of the common disease patterns, a lot can be achieved with smart health services.
A healthy lifestyle lowers the risk of chronic diseases much more significantly than previously assumed: Compared to people who live unhealthy lives, the risk of illness is reduced by up to 78 percent. Individually, the risk of diabetes decreases by as much as 93 percent and the risk of heart attack by 81 percent in people who meet all the criteria of a healthy lifestyle. The probability of suffering a stroke is still reduced by half and the risk of cancer by 36 percent (Institute in Potsdam-Rehbrücke,
http://www.dife.de/forschung/abteilungen/publikationen.php?abt=ERG
). This is even more important in today's day and age with COVID-19 stressing the immune system and most people working from home.
To counter the effects of an unhealthy lifestyle and save millions of lives, we developed Lea, a smart health assistant. Lea creates a personal health plan based on the three main pillars of preventive health care: exercise (stretching, sports), nutrition (diversified diet), and relaxation (yoga, meditation, autogenic training).
In our busy lives, we tend to neglect our health when left on our own. Lea makes staying healthy, both physically and mentally, as easy as possible.
What Lea Does
Lea sends you critical reminders, tips, and statistics - whenever you need them most. With Lea, you will never miss an appointment, a daily workout, or life-saving medications. It keeps you up to date on the pollen count, recommends exercises based on your preferences, and helps you stay on top of your health.
When it comes to health, the smallest changes often have the biggest impact. Building healthy habits is the difference between a long active life and constant health crises that take a toll on you, your family, and the whole health care system.
What Separates Lea From Other Solutions
Lea is unlike any other smart health solution. In times of abundant health applications, Lea stands out by being independent, platform-, and user friendly. You can access Lea's expertise and assistance anytime and anywhere, without having to download a separate application. Just connect to Lea on your communication platform of choice - WhatsApp, Telegram, or Messenger - and instantly take control of your health!
Getting people to download yet another application is unrealistic, cost-intensive and more often than not, leads to failure. With Lea, smart health assistance is only one click away - for billions of users worldwide.
How We Built Lea
Lea is built on top of Python and connects to all prominent communication interfaces, such as Telegram, WhatsApp, and Messenger.
Challenges We Ran Into
The biggest challenge for our team was defining a scope of features that would deliver instant value but could also be built within a rather short timeframe.
Accomplishments We Are Proud Of
We listened to early customer feedback and created a working product with real demand, a useful list of initial features, and wide-ranging possibilities to scale.
What We Learned
Above all, we learned how to quickly build and iterate a product that can help consumers in real-life situations. Creating a technological solution that thrives on usability forced us to hone in on features and health benefits that can make a difference without overwhelming users.
What's Next For Lea
We want to improve Lea by getting the solution into as many hands as possible and listening to further customer feedback. We will allow users to vote on future features to continue building reminders, tips and statistics that make a difference. Additionally, we will keep making Lea smarter and enhancing the assistant's understanding of natural language. As time goes on, Lea should enjoy a broad user base on all platforms - WhatsApp, Telegram, and Messenger - and help millions of people take control of their health.
Built With
android
ios
python
telegram
Try it out
t.me | Lea - Your Digital Health Assistant | Lea is a smart mobile assistant that sends you critical reminders, tips, and statistics to help you stay healthy. | ['Gregor Waldvogel', 'Pirathayini Kandeepan', 'Felix Born', 'Stefan Blattmann', 'Aryan Dehgan'] | ['Siegerteam'] | ['android', 'ios', 'python', 'telegram'] | 2 |
10,040 | https://devpost.com/software/med4you-ijykoh | GIF
Our Team: Thomas Hodits, Victoria Helena Faber & Stefan Bassler
Inspiration
Have you ever thought of medical students during their training as a huge unused resource of highly trained health care professionals?
In Germany, around 60.000 students are between their medical preliminary examination (Physikum) and certification (Approbation), and 10.000 students finish their medicine certificate every year. Medical students and medical doctors during their specialisation are training with thousands of fictional case studies for up to 5 or 10 years. In this long time period, they could also solve thousands of real case studies to train themselves, help patients, collect credits for their CV and gain monetary rewards.
At the same time, many patients just want to get a quick diagnosis or ask a question to a doctor, but have to wait weeks for an appointment and hours in the waiting room, which is not just highly inefficient but also infectious due to circulating infectious agents.
We want to leverage the huge unused human capital of medical students in their training to optimise workload and efficiency in medical practices, in order to replace all needless medical practice visits taking less than 5 minutes, reduce practice overflow and waiting time, as well as infections in the waiting room.
What it does
Patients create a MedQuest in our MedQuest app with their lifestyle information like diabetes, high blood pressure, smoking, alcohol consumption and activity, as well as their symptoms. This patient data is anonymously sent to a medical student between the preliminary medical examination (Physikum) and the certification (Approbation), who marks him-/herself available via his own version of the MedQuest app.
The medical student then uses the patient information to create a pre-diagnosis and submit it. This pre-diagnosis is sent to a certified doctor, who makes the final diagnosis with the help of the pre-diagnosis provided by the medical student.
The certified doctor receives a payment for his/her service, which the patient provides. In addition, the certified doctor rates the pre-diagnosis of the medical student, before submitting his diagnosis to the patient including treatment options and potential doctor visit recommendations, if necessary.
The patient receives a diagnosis on his condition or question within several hours and rates the diagnosis. Thereby, the medical student, as well as the certified doctor get rated and collect credits and successful cases (gamification) to distinguish themselves from other health care professionals in an application.
How we built it
We collaborated on a cloud platform, rapidly developing variations of UI wireframes and finally creating a detailed interactive prototype together on Figma, utilising various design resources, to achieve a nearly final product in terms of the user interface. Then we created a presentation and recorded relevant explanations, which finally concluded in the video we submitted.
Challenges we ran into
We are still looking for a backend app developer to finalise our MedQuest app.
Accomplishments that we're proud of
We're very proud of having built our first MedQuest app prototype in 6 hours.
What we learned
We realized what can be built with three people in 24 hours and potentially change the future of healthcare forever.
What's next for MedQuest
We will look for funding opportunities to develop our prototype, for example, in the BadenCampus Start-up Lab.
Our Team
Thomas Hodits, Victoria Helena Faber & Stefan Bassler
Built With
figma
Try it out
www.figma.com | MedQuest | Connecting patients with medical students and doctors | ['Stefan Bassler', 'Thomas Hodits', 'Victoria Faber'] | ['Medienpreis'] | ['figma'] | 3 |
10,040 | https://devpost.com/software/covid-oversight | Details
SS1
SS2
SS3
Inspiration
Let's consider the story of Chris. He is still under lockdown and he is worried about his
health. Currently he is not aware of the risky areas surrounding him. So he cannot leave his home
to visit the local grocery store (which he prefers to buy from over online stores) without panicking.
Also he fears he might take a route through a region infected with the virus which can affect him as
well. And even if he reaches the store safely, he might be faced with a crowd which doesn’t
maintain social distancing; and even if they do so, they all come at the same time leading to long
queues. Even after all this, there is still a chance that he might be affected but asymptomatic and
he might further infect others as he might be unaware of whether he had been in contact with
anyone before.
What it does
COVID-Oversight tries to mitigate the above problems with a one-stop solution for
visualizing local risky areas, finding safe stores and safer routes for visiting them, creating
systematic queues for reducing delays and a case reporting mechanism for leveraging
crowd-sourced data to map the crisis and protect one and all
How I built it
Here maps, Twilio API, IBM Cloudant, IBM Cloud Foundry, Postman
Accomplishments that I'm proud of
Completed the hack in under 24 hours
Created an end-to-end communication, reporting, and verification system
What I learned
Apllication of Twilio and Postman
Cloud hosting
What's next for COVID-Oversight
● Integrate chatbot inside the web app
● Use IBM Watson API for further diagnosis on chatbot
● Use IBM Watson Studio to design a forecasting algorithm for better queue management and
COVID spread
● Use Here Maps geofencing API and Twilio Notify API to alert users when they enter risky
areas
Built With
flask
here-geocoder
here-map-image
ibm
postgresql
postman
python
twilio
Try it out
github.com | COVID-Oversight (Team OopsIDidItAgain) | COVID-Oversight tries to mitigate the above problems with a one-stop solution for battling Covid-19 | ['Saumo Pal'] | [] | ['flask', 'here-geocoder', 'here-map-image', 'ibm', 'postgresql', 'postman', 'python', 'twilio'] | 4 |
10,040 | https://devpost.com/software/alz-vision | Updated Website: Upload Memories
Log In Screen
User Information Screen
Task Screen
Make A Memory Screen
Test Your Memory Screen
Analytics Screen
Frequently Asked Questions Screen
Did You Know Screen
Demo Of Flask API Working
Website
Website
Updated Website: Graphs
Updated Website: Home Page
Updated Website: Redescribe
Inspiration
Nearly 3 million people in the US alone fall victim to memory impairments such as dementia and Alzheimer's. We personally have met people who struggle with Alzheimer's and have forgotten critical information and cherished memories, even going as far as forgetting a loved one.
Nowadays, when doctors diagnose patients, they don't personally know the person and have never met them before. They rely on mental tests and interviewing the family members. They don't have any real, concrete historical data their memories or any data on their decline of their memory. We hope to provide a data-analysis tool for doctors to better get an idea of each patient.
What it does
Our app hopes to provide doctors with data on users to help them better diagnose Alzheimer's. The user can upload photos and videos to the application. For each photo and video, the user will write a one-sentence description of the event portrayed. The user will also be prompted to later (after days, weeks, months, or even years) re-write the description. Our algorithm will rate (from 0-1) the description to how similar the new sentence is to the original sentence. Each of these scores are plotted on a time (number of days) x accuracy graph. With each memory, a linear or non-linear regression is performed (based on which produces the biggest R^2). The weights are then extracted (slope, y-intercept, and other factors) and an Isolation Forest outlier detection is performed. In the end, the algorithm will provides graphs and visual aids to show a user's memory decline. In addition, it will search for any potential outliers in their memory loss and common keywords associated with those outliers.
Version 2.0 (May 23rd, 2020 - May 24th, 2020)
Accomplishments that we're proud of
We finally got the app together! We were really proud of how our application is currently more or less functional. We can successfully upload memories and display them for redescribing. Also, our machine learning analysis is integrated into our app, so we're really happy about how everything is coming together. After one more sprint, we believe that we can start pitching our ideas and continuing with the design process.
How we built it
We used Flask only for this MVP, and we redesigned our original website. We used Flask-Mongodb instead of Mongodb and we used MongoDB Atlas. For the frontend, we used HTML/CSS/JS with Bootstrap. We used the same machine learning algorithms from our last sprint.
Challenges we ran into and What we learned
It was particularly difficult for us to upload images through MongoDB and we learned a lot about images with MongoDB and that there was a library which handled MongoDB with Flask (we were originally using only the original MongoDB library).
Next Steps
We want to work more on the UI to enhance user experience. We hope to share our app with local doctors to get their feedback on our app. We will adjust accordingly and then continue the design process to create a finished product. We especially want their feedback on how to display the data which will be most convenient to them. Then, we will pitch this product to local hospitals and clinics and hopefully collaborate with them to make this product a tool for patients to collect data to help doctors to diagnose Dementia and Alzheimer's better.
Version 1.0 (May 16th, 2020 - May 17th, 2020)
Accomplishments that we're proud of
We were able to create functional machine learning algorithms to find similarity and analyse the text. In addition, we have the start on our UI both for a mobile application and for a Flask app.
How we built it
We built our app with a mobile app and a basic website for the front end, a Flask API to allow us to access the machine learning models, and a MongoDB Atlas for the backend. We built the app using React Native, and we built the website using HTML/CSS/JS and Flask. For the machine learning in the analysis, we used StringMatcher and SequenceMatcher to rate each sentence and regressions and Isolation Forest to find outliers, and the charts were made using matplotlib.pyplot. Then, we used MongoDB Atlas to store each user's memories and descriptions that our front ends could use.
Challenges we ran into
For both the outlier detection and the sentence similarity scores, we tested a few models before reaching our final decision on the model which worked best. It was our first time using MongoDB Atlas and mongod, so it took some time to learn about the API. It was also a little difficult to work together online, but we used Discord as our platform and was sure to periodically check-in on each other.
What we learned
First, from a non-technical standpoint, our team learned a lot about Alzheimer's. We spent two weeks researching the disease to learn more about how it is diagnose and listening to real user stories. From a technical standpoint, two of our teammates learned how to use React Native and all our teammates learned MongoDB Atlas.
What's next for Dement.ai
We hope to be able to put the app together to form a final product.
Built With
ai
css3
flask
heroku
html5
javascript
machine-learning
mongodbatlas
python
react-native
sass
Try it out
github.com | Dement.ai | Helping Doctors Better Diagnose Dementia and Alzheimer's | ['Shreya C', 'Veer Gadodia', 'Dhir Kachroo', 'Mihir Kachroo'] | ['Track Winner: Solidarity & Elderly'] | ['ai', 'css3', 'flask', 'heroku', 'html5', 'javascript', 'machine-learning', 'mongodbatlas', 'python', 'react-native', 'sass'] | 5 |
10,040 | https://devpost.com/software/healthplus | Splash Page
Login
SignUp
Calendar/Reminders UI
Settings
Share App
Contact cards
Resources
Resources
Resources
Resources
Emergency Page
Edit Your Emergency Profile
Edit Emergency Contacts
Careplan
Add Medicines
Add Activities
Add vitals
Inspiration
As we know great ideas and companies have started at home. So, similarly I cantrace back thee inspiration to my old grandparents who usually forgot to take their medicines. Also it is too sad for me to say, but my grandfather recently died as he hadn't taken his bloodpressure meds properly and also no one could keep a check on his punctuality. Also when the med team found him, he could have survived if they gogt the information about him like med history, blood group and others on time which they unfortunately didn't get!
What it does
HealthPlus helps you keep a track of meds! This is a must-have pills tracker and reminder app for your health. It helps you take care of our loved ones at risk by reminding them from time-to-time and not overdosing in forgetfulness. HealthPlus works well for medication management, tracking vitamins, supplements, birth control, conditions, medication, and later plans also include tracking the symptoms, nutrition, activity, daily vitals, therapies, pregnancy, baby symptoms, notes, etc.
Reasons why this is the next startup
CREATE A CARE PLAN -- Used as a treatment & pill organizer
Don’t create just a dull medication list which you would forget about days later!. Add Drugs, Meds, Vitamins, Minerals, Natural Remedies, Therapies, Fitness & Nutrition as part of your care plan
Set dose form, dose color & set medicine reminders quickly!!!
ADD YOUR CARE TEAM
The most unique feature!!!
Save CareContact information for future reference.
Add CareContact pill alerts for missed dosages, have someone help you stay on track of your goals because together we can overcome anything!!!
Allow CareContacts to view the care plan. -Giving a point of contact with emergency teams.
Save & Share Health Appointments
future------------Chatbot based GCS SOS button and voice-based actions.
EMERGENCY BUTTON
Easily accessible emergency button to call respective authorities right from the app! Also sending an SMS to CareContact about location coordinates and basic details filled up in EMERGENCY FORM.
How I built it
The UI is built using flutter, Google Location Services API from GCP for coordinates, Python-Django based backend API for making requests. The database is on MongoDB.
Challenges I ran into
Many APIs don't have documentation for flutter
Accomplishments that I'm proud of
The UI components.
What I learned
Working with flutter
What's next for HealthPlus
Releasing it on app stores after scaling up!
Domain.com
dontgivecovid.space
Built With
dart
google-maps
java
kotlin
makefile
mongodb
objective-c
swift
Try it out
github.com | HealthPlus | Not just some random healthcare app! | ['Dipti Modi'] | [] | ['dart', 'google-maps', 'java', 'kotlin', 'makefile', 'mongodb', 'objective-c', 'swift'] | 6 |
10,040 | https://devpost.com/software/ibm__hackathon__troubleshooters | Inspiration
What it does
How we built it
Challenges we ran into
Lots of Challenges
Accomplishments that we're proud of
What we learned
What's next for MEDICO
Built With
css
deeplearning
django
html
image-processing
javascript
postgresql
python
rasa
tensorflow | a | a | ['Jayit Saha', 'Ishita Dasgupta'] | [] | ['css', 'deeplearning', 'django', 'html', 'image-processing', 'javascript', 'postgresql', 'python', 'rasa', 'tensorflow'] | 7 |
10,040 | https://devpost.com/software/hourglass-o1mbsq | Problem
Während COVID19 haben viele Leute von zu Hause aus gearbeitet, Auswirkungen auf die psychische Gesundheit. Wir haben festgestellt, dass jeder weniger produktiv geworden ist und sich gefragt hat, wo seine Zeit geblieben ist.
Wertversprechen
Hourglass zielt darauf ab, diese Unproduktivität zu beheben, indem die Applikation misst, wieviel Zeit die Benutzer online verbringen. Dies geschieht über unsere Chrome-Erweiterung, die aufschlüsselt, welche Websites Sie am häufigsten verwenden.
Ein Wochenende
Am Wochenende haben wir daran gearbeitet, unsere bereitgestellten Funktionen zu erweitern. Wir haben ein Aktivitätsdiagramm hinzugefügt, mit dem Benutzer mithilfe von ChartJS und Firebase-Backend sehen können, wann sie am aktivsten sind. Wir haben auch eine Registerkarte "Analyse" integriert, auf der die Benutzer sehen können, wie oft die Webseiten durchschnittlich genutzt werden. Ausserdem haben wir eine Funktion beigefügt, die eine Warnung erzeugt wenn die Benutzer ein Zeitlimit überschritten haben damit sie eine Pause einlegen können.
Built With
bootstrap
chartjs
css3
firebase
html5
javascript
Try it out
gethourglass.co | Hourglass | Hourglass ist eine kostenlose Chrome-Erweiterung, mit der Benutzer online produktiver arbeiten können. | ['Kashyap Achar', 'Tobias Schlagenhaufer'] | [] | ['bootstrap', 'chartjs', 'css3', 'firebase', 'html5', 'javascript'] | 8 |
10,040 | https://devpost.com/software/covidcare-a-i-powered-digital-hospital-laboratory-4xcwo6 | A.I Generated Screening Test
A.I monitored Doctor Consultation
A.I Generated Prescription Report
Patient & Doctor Room
Digital Health Tests
Digital Nurse
Mental Relaxation Exercise
Inspiration & What it does
The COVID-19 pandemic has changed the way we consume healthcare. As per a recently organised survey, 66% of the people said they would prefer a telemedicine consultation over a visit to the doctor's clinic. Clearly, digital remote consultations are the way to go forward. To help the healthcare industry transition into this new form of communication, we have built CovidCare.
CovidCare is a one-stop solution that helps a person from diagnosis to the time they finish recovering. We have used Artificial Intelligence at every stage to help both doctors and patients. For example, patients can use our A.I based digital nurse to book doctor appointments, ask health-related queries, and more.
Our A.I algorithms also screen a patient prior to their doctor consultation so we can save the doctor's time by collecting vital information such as how the person is feeling, determining if the person has fever or cough, and evaluating the symptoms they are facing. Based on the patient's responses, the A.I then suggests the ailments which the patient might be going through. The doctor can use the conclusions of the A.I to make the diagnosis even faster.
We have also trained our A.I to monitor the doctor consultation in realtime and generate a prescription report for the same. This is done using Natural Language Processing and helps in saving the doctor's time. If the doctor advises clinical tests or medicines, our platform connects the patient with the nearest medical shops and laboratories.
There is also a mental relaxation room that patients can use to relax and calm themselves. That's CovidCare, the world's first A.I powered digital hospital and laboratory. Thanks a lot for watching!
How I built it
The project was built using Node.js at the back-end and HTML, CSS, and JS for the front-end. The parts of the website involving the screening test, the doctor consultation, and prescription report generation use A.I technologies under the hood.
Challenges I ran into
We ran into a bunch of issues while finalizing our backend and training our A.I algorithms. But we managed to pull through :)
What I learned
CovidCare helped us learn a lot. We learned a lot more on how to deploy a website, how to solve bugs and how to work together as a team.
What's next for CovidCare
We will work on ironing out the niggles we couldn't during the hackathon and roll out a stable version of the product. We will then reach out to investors to get our product to the market.
Built With
artificial-intelligence
css3
html5
javascript
machine-learning
tensorflow | CovidCare - A.I powered Digital Hospital & Laboratory | Using the power of A.I to help a patient from diagnosis to recovery | [] | [] | ['artificial-intelligence', 'css3', 'html5', 'javascript', 'machine-learning', 'tensorflow'] | 9 |
10,040 | https://devpost.com/software/home-health-care-patients-tracking-application | Home Health Care Mobile
Home Health Care Sample Decision Support System
COVID-19 Risk Prediction Tool
Salesforce
The follow-up of Home Health Care and elderly patients is not made digitally and home health data is not processed data. This makes it difficult for the elderly patient to follow the situation. Healthcare professionals are obliged to learn the examinations, drugs and patient status previously applied to the patient during the patient visits. With the current COVID-19 outbreak, patient visits have decreased considerably. Since the patients in this group are in the highest risk groups of COVID-19, hygiene requirements during the visits complicate the maintenance procedures. In addition to this situation; Symptom monitoring of home care patients, people in the geriatric class (65 years and older) and potential / recovering COVID-19 patients should be done remotely.
First of all, the information necessary for the follow-up of home health care patients was prepared for information entry in the Android environment. Improvement was made in the Salesforce environment to retain the data. A website was prepared in RStudio environment by developing an AI based model for monitoring the health status of home health care patients. For the COVID-19 symptom follow-up, the data of 22,000+ COVID-19 patients were processed all over the world, and an website was prepared in RStudio environment.
The biggest challenge we face is to find anonymous data that we will use for decision support systems and to clean and make the data available.
In the later stages of the project, video speech, voice recognition and sensor and smart watch (Apple Watch) integration will be supported.
Built With
android
api
css
flutter
html
java
r
rstudio
salesforce
Try it out
dveshealth.com
twitter.com
www.linkedin.com
www.instagram.com
dveshealthai.shinyapps.io
dveshealthai.shinyapps.io
drive.google.com | HOME HEALTH CARE PATIENTS TRACKING APPLICATION | DVESHealth provides AI based home health & elderly care decision support and monitoring mobile / web / cloud solutions. | ['Berna Kurt', 'Mustafa Aşçı', 'Asım Leblebici'] | [] | ['android', 'api', 'css', 'flutter', 'html', 'java', 'r', 'rstudio', 'salesforce'] | 10 |
10,040 | https://devpost.com/software/3d-health-hack | this is a photo of my mother Dr ibtissam and I am very proud of her/ shes my secret power
Doctors using our face shield
production face shields
3D printed face shield
mass production help of Lebanon response team
main corona virus center in lebanon Hospital Rafic Hariri accepted the design of teh face shield, and need large quantities
Superokk logo
some web photo
Some web photo
We have better quality videos in the YouTube channel
https://www.youtube.com/watch?v=QcwDAETHzvg
what are main solutions proposed?
1_ Self employment job opportunities (during and after the covid_19 period)
2_ Provide to
hospitals
personal protection equipment's. (specially in countries of bad economical situation)
Story:
The progress is divided into phases we are now at phase 4
Phase 1:
After the lock down of countries due the covid_19 shipping was not an option. Solutions should be cheap and Manufactured in the country. we used 3D printing to solve this issue. (you may think that 3d printing is slow and is not efficient for mass production but we invented a 3d model that reduces the time of 3d printing of Personal protection equipment face shield from 6 hours to ~2 min).
phase 2:
After that our country Lebanon was not able to afford to buy face shields and ventilators along with other medical equipment's. here a team of professional engineers where formed (Lebanon response team) and we proudly implemented most of the projects including the face shield using the 3d technology. We where able to support the main corona virus center in Lebanon with the needed equipment's. It was all done remotely and here is the key for the phase 3.
phase 3:
After that a separate team was formed ( France, Holand , Lebanon) to participate in a hackathon sponsored by the " Freiderish Noamann foundation" . The Idea now is how to transmit the same success to other countries "Remotely". And we did it, we won. We where able to get sponsored . We are building a platform (website ) links 3d printer owners to people who need 3d printed things.
Advantage of such website we will be able to :
1_ Provide self employment job opportunities during and after the covid_19 period.
2_Help specially Countries that are facing bad economical situation to provide 3D printable personal protection equipment's without shipping row material!
3_ Creating a worldwide community that is interested in 3D technology.
the estimated time for the website to be done is ~4 weeks from today
Meanwhile we should proceed to phase 4 :
phase 4: Currently We are here - Marketing strategy- Social media :
_YouTube channel:
_we realize after studying the market that , we need the process to be very interactive to succeed.
Since we are more into the "polling " business model concept than into the " pushing "concept we believe that building an educational platform on YouTube will generate lead's to the mechanism sustainably. So the main idea now is to provide high value content on the YouTube platform to generate lead and build a Brand.
technique to be used: After studying the way YouTube promote it's videos.
(based on views and how much it's interactive).
*
1_ Animation: *
Higher the efficiency (click throw rate).
2_ Interactive videos:
To maximize interactive part we will include the new technology of interactive video.
3_Business startups:
we will provide users with methods for effective uses of the program.
4_Multi-linguistic:
we will upload in several languages so we can spread the message to the maximum.
5_Daily uploads:
YouTube promote videos of users who uploading more (High quality content).
Main points
How the website will help medical field?
web will locate institution and people who need 3D printed solutions (example face shield)
What differentiates us?
• Marketing strategy that we developed this weekend.
• The sustainability in the business model.
• Community : We are joining people that has same goals together on this platform
_ one of our goal is to help the medical : even if it is a doctor that needs 3d modeling to medicine teeth of his/her patient.
Team and how we started briefly :
Clearly results started to appear hospitals show a need and we where able to provide them with their needs.
So a team of expert was found to make this solution achievable by other country.
Team: Ezzedin ayoubi senior lead Senior Lead in development at KLM ,DEV Team mentor
Hassan Hallal Team Leader at ASSYSTEM E&I ,Business, Management(mentor in business management )
Ali Hussein: mechanical engineering student founder of Superokk.
3D printer owners: we have a big database of people who are welling to start providing Hospitals and even people.
Any skilled in anything he is thinking that he can be an added value kindly don't hesitate to contact us.
Accomplishments that we're proud of:
We are proud that we where able to provide main covid_19 center in Lebanon with the face shields needed last week, and that we are able to make some profit to make it sustainable.
Won several competition
Ranked Top 15 in worldwide hackathon of IEEE
What we learned:
How to make from the weakness a point of strength.
Group work using social distance.
tech to use in execution
_ In labs doing experiments for compatibility if someone want to add a new product (like sterilizing test)
_the majority of it will spent on software's that will make the process easier:
we list:
_upgrade an animation software called **** (I have it but we need to upgrade enterprise level and we need the color versions)
_powerful animation app called **** that will give us the ability to make character moving (and to tell stories ,to make the contempt extremely easy to understood)
_this software is extremely powerful (specifically for us). 3D printing mean customization ,and this give us the abilities to customize any video to all our viewers!!
_will help translate ,** text to speech ,speech to text , join every slide to the voice inserted **without the suffer and the time loss of meshing
_intro videos and finalizing in high professional videos in matter of minutes (first to do that it was taking days !!! )
we want to make a difference in the digital age.
The Digital Health is extremely important at this time.
_It will simplify and accelerate the processes.
_No shipping requirements and fits specially in countries in bad economic situation.
_Higher efficiency ,Lower time
_ More job opportunities
never forgot: dream big you can fly
environmentally friendly
3d printing materil we are using are almost 100% (disintegratable,and recycable). (good for nature).In addition that we have other backup plans.
Mentors and sponsors
thank you for the great effort you are putting without these competitions we where not able to progress so far.
Built With
angular.js
firebase
java
www.superokk.com
Try it out
www.superokk.com
drive.google.com
drive.google.com
drive.google.com
drive.google.com | superokk Health | website link between 3d printer owners and people who need 3d prints | [] | [] | ['angular.js', 'firebase', 'java', 'www.superokk.com'] | 11 |
10,040 | https://devpost.com/software/auslastungsverbesserung-der-arztpraxen-iuwa7z | AAM Logo - by Nicolas Mahn.
AAM: Canvas Modell, welches wir zur Planung erschaffen haben.
AAM: Ein Flowchart für Terminveränderungen.
AAM: Ein Flowchart für Terminbuchungen.
AAM: Dummy-RE-Modell unserer zukünftigen Datenbank.
AAM: Startseite mit Auswahl einer Arztpraxis und eines Arztes.
AAM: Bestätigung der Auswahl des Arztes.
AAM: Eine Ansicht des Terminkalenders.
AAM: Auswahl eines Tages in dem Kalender.
AAM: Auswahl einer Uhrzeit in dem Kalender.
AAM: Eingabe der Daten für einen Termin.
AAM: Ein Termin kann jetzt registriert werden.
AAM: Website Benachrichtigung über erfolgreichen Terminregistrierung.
AAM: Eine Benachrichtigungsmail wird erhalten, nachdem der Termin registriert wurde.
AAM: Anmeldung über die App, ein Bild der zukünftigen App.
AAM: Nach erfolgreichen Login, Weiterleitung auf Website (solang App noch nicht fertig entwickelt is->Zukunftsausblick zusätzlich)
AAM: Aus App geöffneter Browseraufruf
Inspiration
Einer unserer beiden Hauptgrüde dieses Thema bearbeiten zu wollen sind die langen Wartezeiten bei Arztpraxen, die man besser nutzen könnte zum Beispiel um ein Cafe zu besuchen.
Unser zweiter Grund sind die vollen Warteräume, in denen sich gesunde Menschen die zur Vorsorge kommen von den Kranken infiziert werden können.
Warteräume können auch für kranke Menschen gefährlich werden, weil diese mit anderen Krankheiten und Keimen in Kontakt treten können.
Derzeit könnten Warteräume sogar verboten sein wegen dem Corona COVID-19 Virus. Eine Übertragung in abgeschlossenen Räumen sei möglich, da sich der Virus in Aerosolen für mehrere Stunden in der Luft aufhalten kann.
Unser Ziel ist es diese langen Wartezeiten und vollen Wartezimmer abzuschaffen oder zumindest soweit möglich zu reduzieren und die Verbreitung von Krankheiten/Infektionen zu verhindern.
Was macht es
Unser System verwaltet automatisch Termine von Arztpraxen und deren Kunden.
Dabei sollen flexible Entscheidungen der Arztpraxis und Patienten ermöglicht werden.
Sollte ein Termin belegt oder abgesagt oder ein früherer Termin frei werden so kann das System die Patienten informieren/benachrichtigen.
Es können Patienten alternative Zeiten angeben um einen möglichst frühen Termin zu erhalten.
Patienten können kategorisch den allgemeinen Grund für den Termin auswählen zum Beispiel(niedrige, mittlere, hohe Priorität):
Vorsorge, Krankheitsymptome, Unfälle, Notfälle(z.B. schwere Unfälle)
Notfälle müssen nicht angemeldet werden und werden von der Arztpraxis eingetragen bzw. ausgelöst.
Durch eine Priorisierungsverwaltung können frühzeitige Termine für Operationen und anderen notwendigen Behandlungen zu ermöglicht werden.
Zum Beispiel durch eine Email und/oder Smartphone App Benachrichigung.
um so den Tagesablauf beider Parteien flexibler zu machen und die Warteräume zu leeren, was jetzt bei dieser Krise eine große Hilfe ist. Dazu haben wir eine Dummy-Website erschaffen, die es derzeit ermöglicht Termine abzusagen und freie Termine bei einem ausgewählten Arzt zu bestimmten Zeiten, derzeit im 30-Minuten-Takt, zu wählen als eigenen Termin. Informiert wird man dann durch eine E-Mail, das den Termin bestätigt und die Informationen, also wann, wo und bei wem, wieder gibt.
Hier der Link zu unserer Website:
https://www.avba.tk/
Herausforderungen die wir hatten
Anfangs hatten wir großen Schwierigkeiten bei dem Teamaufbau, da sich bei uns motivierte und überzeugte Leute mit dem gleichen Ziel trafen, die jedoch verschiedene Ansichten und geplante Wege zur Lösung hatten. Das führte zu vielen Diskussionen bei Besprechungen, die teils auch stark die Motivation gesenkt haben. Nach einiger Zeit beschlossen wir, dass es das Beste ist uns aufzuspalten um an unseren Ideen getrennt zu arbeiten.
Nach den Besprechungen haben wir ein grobes Konzept entwickelt, dass die Anforderungen des Projekts aufzeigt und uns als Leitfaden dient.
Wir haben verschiedenen Quellen zu den Problemen befragt und so Informationen von einer Ärztin und einem Heilpraktiker erhalten.
Für unser Video verwendeten wir die Site AniMaker um mit einer Animation unsere Idee zu präsentieren.
Erfolge auf die wir stolz sind
Auf unser kleines Animations-Video und unser Durchhaltevermögen und Passion an unsere Idee, sowie unseren Humor den wir nie verloren haben. Trotz der ganzen Komplikationen war der Spaß nie weg und wir konnten einiges für uns selbst, sowie für Projektaufbau und -management lernen, was unserer Hauptintention für diesen Hackathon entspricht und auch das Wichtigste ist für uns als Team und unsere Entwicklung.
Wir haben einiges über Projektmanagement gelernt sowie neue Tools wie Wordpress und AniMaker. Es hat uns viel Spaß gemacht dies alles zu lernen, da wir dies in Zukunft sicherlich nochmal brauchen werden. Ebenso haben wir gelernt wie wichtig Vorbereitung und eine gesunde Teamatmosphäre ist für ein gemeinsames Projekt. Wichtig ist es auch immer am Ende Spaß zu machen, egal wie schlimm es gerade ist.
zukünftige Ideen für "AAM"
Wir planen eine voll funktionstüchtige App für Android und iOS rauszubringen, die nicht nur App-Benachrichigungen schickt bei Veränderungen sondern auch das Benutzen des Kalenders und dessen Funktionen für beide Benutzerseiten stark vereinfachen soll und überall erreichbar. Ebenso wolle wir unsere Website um mehr Funktionen erweitern.
Zu den Funktionen gehören Terminveränderung oder Terminabsage mit Benachrichtigung über Mail und auch Kalender-Konfiguration bei Ärzten, sodass flexible Termine also zum Beispiel jede 15 Minuten ein Termin möglich ist und nicht nur jede halbe Stunde.
Es sollen zur Terminauswahl die Daten des Patientenprofils von der vorher verifizierten Registrierung/Anmeldung(Elektronische Gesundheitskarte/durch Briefbestätigung oder Anmeldung vor Ort mit Krankenkasse Info etc.) übernommen werden.
Auch ist eines unserer Aufgaben eine eigene Kalenderimplementierung und Datenbank zu verwenden und somit auf das (für den Entwickler lästige und ineffziente) externe Plugin zu verzichten.
Es müssen ebenfalls die Nutzungsbedingungen und Datenschutzerklaerung bei der Terminauswahl vervollständigt werden. Es wurde eine mögliche Datenbank modelliert, dass als Bild angehängt wurde.
Unsere App für das Smartphone soll nach verschiedenen Kategorien und Unterkategorien Arztpraxen auflisten und den Arzt zur Terminplanung auswählen und so alles unter eine Anwendung bringen.
Folgendes wäre denkbar Bsp.: Stadt(Freiburg)->Hausarztpraxis am Martinstor->Dr. med. Antje C. Kreft. Alle Arztpraxen würden dafür unsere Seite implementieren.
Die App soll in den Smartphone internen Kalender diese Termine hinzufügen/verwalten und evtl. einen eigenen Kalender anzeigen mit allen Arztterminen.
Inspiration
Einer unserer beiden Hauptgrüde dieses Thema bearbeiten zu wollen sind die langen Wartezeiten bei Arztpraxen, die man besser nutzen könnte zum Beispiel um ein Cafe zu besuchen.
Unser zweiter Grund sind die vollen Warteräume, in denen sich gesunde Menschen die zur Vorsorge kommen von den Kranken infiziert werden können.
Warteräume können auch für kranke Menschen gefährlich werden, weil diese mit anderen Krankheiten und Keimen in Kontakt treten können.
Derzeit könnten Warteräume sogar verboten sein wegen dem Corona COVID-19 Virus. Eine Übertragung in abgeschlossenen Räumen sei möglich, da sich der Virus in Aerosolen für mehrere Stunden in der Luft aufhalten kann.
Unser Ziel ist es diese langen Wartezeiten und vollen Wartezimmer abzuschaffen oder zumindest soweit möglich zu reduzieren und die Verbreitung von Krankheiten/Infektionen zu verhindern.
Was macht es
Unser System verwaltet automatisch Termine von Arztpraxen und deren Kunden.
Dabei sollen flexible Entscheidungen der Arztpraxis und Patienten ermöglicht werden.
Sollte ein Termin belegt oder abgesagt oder ein früherer Termin frei werden so kann das System die Patienten informieren/benachrichtigen.
Es können Patienten alternative Zeiten angeben um einen möglichst frühen Termin zu erhalten.
Patienten können kategorisch den allgemeinen Grund für den Termin auswählen zum Beispiel(niedrige, mittlere, hohe Priorität):
Vorsorge, Krankheitsymptome, Unfälle, Notfälle(z.B. schwere Unfälle)
Notfälle müssen nicht angemeldet werden und werden von der Arztpraxis eingetragen bzw. ausgelöst.
Durch eine Priorisierungsverwaltung können frühzeitige Termine für Operationen und anderen notwendigen Behandlungen zu ermöglicht werden.
Zum Beispiel durch eine Email und/oder Smartphone App Benachrichigung.
um so den Tagesablauf beider Parteien flexibler zu machen und die Warteräume zu leeren, was jetzt bei dieser Krise eine große Hilfe ist. Dazu haben wir eine Dummy-Website erschaffen, die es derzeit ermöglicht Termine abzusagen und freie Termine bei einem ausgewählten Arzt zu bestimmten Zeiten, derzeit im 30-Minuten-Takt, zu wählen als eigenen Termin. Informiert wird man dann durch eine E-Mail, das den Termin bestätigt und die Informationen, also wann, wo und bei wem, wieder gibt.
Hier der Link zu unserer Website:
https://www.avba.tk/
Herausforderungen die wir hatten
Anfangs hatten wir großen Schwierigkeiten bei dem Teamaufbau, da sich bei uns motivierte und überzeugte Leute mit dem gleichen Ziel trafen, die jedoch verschiedene Ansichten und geplante Wege zur Lösung hatten. Das führte zu vielen Diskussionen bei Besprechungen, die teils auch stark die Motivation gesenkt haben. Nach einiger Zeit beschlossen wir, dass es das Beste ist uns aufzuspalten um an unseren Ideen getrennt zu arbeiten.
Nach den Besprechungen haben wir ein grobes Konzept entwickelt, dass die Anforderungen des Projekts aufzeigt und uns als Leitfaden dient.
Wir haben verschiedenen Quellen zu den Problemen befragt und so Informationen von einer Ärztin und einem Heilpraktiker erhalten.
Für unser Video verwendeten wir die Site AniMaker um mit einer Animation unsere Idee zu präsentieren.
Erfolge auf die wir stolz sind
Auf unser kleines Animations-Video und unser Durchhaltevermögen und Passion an unsere Idee, sowie unseren Humor den wir nie verloren haben. Trotz der ganzen Komplikationen war der Spaß nie weg und wir konnten einiges für uns selbst, sowie für Projektaufbau und -management lernen, was unserer Hauptintention für diesen Hackathon entspricht und auch das Wichtigste ist für uns als Team und unsere Entwicklung.
Wir haben einiges über Projektmanagement gelernt sowie neue Tools wie Wordpress und AniMaker. Es hat uns viel Spaß gemacht dies alles zu lernen, da wir dies in Zukunft sicherlich nochmal brauchen werden. Ebenso haben wir gelernt wie wichtig Vorbereitung und eine gesunde Teamatmosphäre ist für ein gemeinsames Projekt. Wichtig ist es auch immer am Ende Spaß zu machen, egal wie schlimm es gerade ist.
zukünftige Ideen für "AAM"
Wir planen eine voll funktionstüchtige App für Android und iOS rauszubringen, die nicht nur App-Benachrichigungen schickt bei Veränderungen sondern auch das Benutzen des Kalenders und dessen Funktionen für beide Benutzerseiten stark vereinfachen soll und überall erreichbar. Ebenso wolle wir unsere Website um mehr Funktionen erweitern.
Zu den Funktionen gehören Terminveränderung oder Terminabsage mit Benachrichtigung über Mail und auch Kalender-Konfiguration bei Ärzten, sodass flexible Termine also zum Beispiel jede 15 Minuten ein Termin möglich ist und nicht nur jede halbe Stunde.
Es sollen zur Terminauswahl die Daten des Patientenprofils von der vorher verifizierten Registrierung/Anmeldung(Elektronische Gesundheitskarte/durch Briefbestätigung oder Anmeldung vor Ort mit Krankenkasse Info etc.) übernommen werden.
Auch ist eines unserer Aufgaben eine eigene Kalenderimplementierung und Datenbank zu verwenden und somit auf das (für den Entwickler lästige und ineffziente) externe Plugin zu verzichten.
Es müssen ebenfalls die Nutzungsbedingungen und Datenschutzerklaerung bei der Terminauswahl vervollständigt werden. Es wurde eine mögliche Datenbank modelliert, dass als Bild angehängt wurde.
Unsere App für das Smartphone soll nach verschiedenen Kategorien und Unterkategorien Arztpraxen auflisten und den Arzt zur Terminplanung auswählen und so alles unter eine Anwendung bringen.
Folgendes wäre denkbar Bsp.: Stadt(Freiburg)->Hausarztpraxis->Hausarztpraxis am Martinstor->Dr. med. Antje C. Kreft. Alle Arztpraxen würden dafür unsere Seite implementieren.
Die App soll in den Smartphone internen Kalender diese Termine hinzufügen/verwalten und evtl. einen eigenen Kalender anzeigen mit allen Arztterminen.
Eva Fabricius, Nicolas Mahn, Ahmet Deliktas, Niko Kauz
Built With
devpost
firebase
miro
wordpress
Try it out
www.avba.tk | Advanced Appointment Management | Wartezeiten bei Arztpraxen zu verkürzen und Termine flexibler zu machen | ['www.avba.tk', 'Ahmet Deliktas', 'Nicolas Mahn', 'Timo H', 'Niko Kauz', 'Eva Fabricius'] | [] | ['devpost', 'firebase', 'miro', 'wordpress'] | 12 |
10,040 | https://devpost.com/software/the-virtual-medic-fwbdr1 | LOGO
Disease Prediction Example
Disease Prediction Example
Disease Prediction Example
Barcode Scanner backend
Medicine Reminder
Medicine Reminder Setup
Inspiration
While access to healthcare and hospitals remain very delicate in these times, we are developing a full AI based model that can be easily used and deployed to automate the process of patient hospitalization.
What it does
As the initial part of the project we have developed the health application serves several purposes. To begin with, the app has a Disease Predictor, which takes symptoms as the user input and predicts the disease based on the
same. The application also implements a Barcode Scanner that scans the barcodes on different
medicines via the camera and displays the details about the same like usage, effectiveness
and side effects. The app also lets the user input their daily medication including the number of doses and their
timings. On adding, the app would send the user a notification at every dosage time.
How do we aim to automate hospital interface with the same ?
Through the disease prediction model, i further aim to deploy a consultation mechanism that based upon the user symptoms connects us with the related doctor who specializes in the same field, for e.g orthopaedics, psychiatrists, general surgeons etc. Deployed in a hospital, the same can be used to assist patients with database management as well consultation management.
How I built it
The app is completely based on python with android being used as the front end framework.
Accomplishments that I'm proud of
The accuracy of the model and its ability to predict upto 41 diseases based upon the 132 different symptoms provides evidence of the advancements that can be made in this field.
What I learned
Being a machine learning enthusiast, i had never used android for deploying a front end to my application, hence android is the very main thing that i acquired from the project
What's next for The Virtual Medic
I plan to work on the UI of the application as well as plan to integrate a virtual video conferencing tool that can connect the user to nearest doctor for health consultation.
Built With
android
flask
keras
machine-learning
python
Try it out
github.com | The Virtual Medic | ML Based Disease Prediction and Hospital Automation | ['harsh pandey', 'Neel Kukreti', 'Tanvi Thakur'] | [] | ['android', 'flask', 'keras', 'machine-learning', 'python'] | 13 |
10,040 | https://devpost.com/software/scm-demand-plan-public-platform | Supi! SCM Platform - 01 - Cover
Supi! SCM Platform - 02 - ToC
Supi! SCM Platform - 03 - Pain Points
Supi! SCM Platform - 04 - Challenges
Supi! SCM Platform - 05 - Solution Approach
Supi! SCM Platform - 06 - Solution Key Features
Supi! SCM Platform - 07 - Business Model Challenges
Supi! SCM Platform - 08 - Business Value Chain -Basic Solution
Supi! SCM Platform - 09 - Business Value Chain - SCM Integration
Supi! SCM Platform - 10 - UN Compliance
Supi! SCM Platform - 11 - Mockup Demand Owner
Supi! SCM Platform - 12 - Mockup Supplyier/Authorizations
Supi! SCM Platform - 13 - Demand Data Model
Supi! SCM Platform - 14 - Application Flow
Supi! SCM Platform - 16 - Business Model Design Open Points
Inspiration
Crisis can be powerful sources of inspiration...
Through my family in Spain, I was direct witness for the collapse of the sanitary system during COVID-19.
People were deeply desperate -and depressed-, due to the impossibility to buy FFP3 masks for infected persons, in order to protect other family members from an infection. I know several families in which almost all members were infected by one single person. All that nice hand-made masks do not help in such situations. FFP3 standards become necessary.
Even sending masks from Germany to Spain was forbidden by the Spanish government, to stop the speculation, exploding black-market and price gouging.
Many of us had the sensation that Spain was thrown back to the middle age times.
And all that time, I could not stop thinking about, how easy all the solutions were, which I ideated, designed and in part developed for SAP systems in purchasing and SCM area (eBay integration with Catalog, Spot Quote for Ariba Network, One-Click Shopping Cart, SRM Sourcing Cockpit Integration with Ariba Network...). None of them were rocket science and almost all belong now to the standard product of SAP.
- Would it be possible to deliver any analogue technical solution to solve or at least to mitigate this issue?
- And if so, would it be possible to measure the effect of such a solution to the reduction of the problem?
What it does
The solution here intends to answer exactly that questions.
It is basically a
public platform
to...
easily report product demands at the consumer level
(hospitals, retirement homes, supermarkets, public institutions, offices, NGOs, etc.)
forecast the demand plan for selectable critical materials
(demand plan calendar)
identify geographical gradients of the demand which could be balanced
(demand plan map)
Who should use it?
Demanding organizations - to report demand plans
Material requirements planners - to identify when to increase production rate
Logistic companies - to identify regional gradients and estimate the probability of last-minute plan changes per region
Health authorities and governments - to monitor the demand evolution and degree of fulfillment and identify on time the need of measures
How I built it
The platform is done using the SAP HANA Express Edition, sitting on a Google Cloud Platform.
A small database for Demands has been created in the ABAP Data Dictionary.
A REST service is reading and writing on this database
The service is being called out of a web browser using a UI5 user interface
Challenges I ran into
Still on it... (24-Mai-2020, 8:30)
Accomplishments that I'm proud of
The easy, intuitive application, running in few clicks
Possibility to integrate it later with > 150.000 Companies using SAP SCM and other non-SAP products due to the usage of standard exchange.
Usage of United Nations conform material categories
What I learned
Still on it... (24-Mai-2020, 8:30)
Installed for the very first time GCP and SAP HANA Express.
Tried for the very first time to integrate GIS data and APIs
What's next for SCM Demand Plan Public Platform
Pretotype creation and check with potential user-organizations
Sending RfQs (requests for quotation) to a group of selected supplier companies in order to accelerate the provision and minimize so availability discontinuities.
Solving some technical themes, which were too time intensive for a Hackathon format
Moving the classic ABAP selection to a CDS view for a much higher performance
Studying the possibilities to increase the granularity of the UN material categorization
Discussion with health authorities, if individual persons should be able to post demands or not
Introduction of standard schemas for demand data and a header/item structuration instead of only a header level
Built With
abap
fiori
google-cloud
iaas-gcp
paas-sap
sap-hana-express-edition
sap-webide
ui5 | Supi! | Public platform to improve crisis-proof supply chain for critical products | ['Ana Nunez-Ruiz'] | [] | ['abap', 'fiori', 'google-cloud', 'iaas-gcp', 'paas-sap', 'sap-hana-express-edition', 'sap-webide', 'ui5'] | 14 |
10,040 | https://devpost.com/software/papure-2tpv60 | paPURE Setup - Angeled View - Utilizing Snorkeling Mask
paPURE Setup - Front View - Utilizing Snorkeling Mask
paPURE Setup - Side View - Utilizing Snorkeling Mask
paPURE Setup - Back View - Utilizing Snorkeling Mask
Original Prototype of paPURE Design View
paPURE Base - Top View - Inserted Compressor Fan and Fan Shroud
paPURE Base - Top View - Empty
Abstract:
The Filtrexa paPURE is an affordable, 3D printed powered air-purifying respirator (PAPR) that provides our healthcare providers with better protection than even N95s, especially in high-risk and confined environments (E.g. ICUs, ERs). It incorporates readily available components and can be easily manufactured locally. We can thus increase accessibility of PAPR technology by enabling hospitals to produce and purchase it as per their need, optimizing the 3D-print to produce it at a cost that is over ten times cheaper than PAPRs currently offered on the market, and using exchanging highly specific components for readily available and affordable components. The Filtrexa paPURE also has made design changes to improve comfort, ease of use, and longevity of PAPR technology.
Introduction
One of the most immediate and impactful effects of the COVID-19 pandemic are global shortages of proper personal protective equipment (PPE), forcing healthcare providers (HCPs) to consistently work in high-risk environments and unnecessarily place their own lives at risk. Our product is a powered air-purifying respirator (PAPR) that creates a positive pressure field with filtered air to protect frontline healthcare workers from airborne threats such as SARS, TB, measles, influenza, meningitis, and most immediately COVID-19. This technology improves upon current PAPR devices in terms of cost-efficacy, ease of access, and ease of implementability. Our solution not only serves to combat general PAPR shortages across the country, but also eases PPE shortages that arise from COVID-19 and future patient surges through an on-demand 3D printing process.
Value Proposition
Powered, air-purifying respirators (PAPRs) are currently the gold standard in medicine when treating patients diagnosed with COVID-19 and other highly infectious respiratory diseases[1] due to their positive pressure system. This system filters air extremely effectively before it reaches the airway. However, this technology package is costly, often totaling over $1800[2] and requires highly specific components which are currently in short supply. Both well-established hospitals such as the Mayo Clinic (with a ratio of 4500 physicians to 200 PAPRs)[2] and smaller county hospitals such as the Hunterdon Medical Center (where not a single PAPR is available to physicians) are facing critical shortages of personal protective equipment (PPE). Evidently, the aforementioned barriers render PAPR technology inaccessible to most frontline HCPs, leaving them far more vulnerable to infection.
Alternatives to PAPR technology include N95s, surgical masks, and currently, homemade masks due to a worldwide shortage of PPE. Although they provide a barrier against aerosols, standard and surgical N95s are easily compromised with an improper fit and have an assigned protection factor (APF) of ten[4], while PAPRs have an APF of 25 to 1000, rendering PAPRs far more effective at protecting HCPs. Additionally, physicians tend to prefer PAPRs over N95s because PAPRs are reusable, easier to breathe through, do not require fit testing, and make them feel safer[1][5].
Our Solution
In order to provide purified air to those in the most high-risk environments, we have developed a novel, inexpensive, and accessible PAPR device that is both lightweight and 3D-printable within 24 hours. Printed using readily-available filaments (e.g. PLA, ABS), paPURE is mounted to the user’s hip and assembled via on-hand motors and batteries. (See Appendix 2.5).
Through PAPR technology, HCPs are given access to filtered positive pressure air systems (in which airflow serves to seal any gaps in masks, as well as reduce respiratory fatigue in HCPs), drastically decreasing infection risk in areas such as ICUs and ERs.
Our device’s customizability allows for interoperability with existing masks, filters, and hosing (See Appendix 3.1), enabling hospitals, or possibly surrounding hobbyists/machinists (regulatory dependent), to produce PAPRs for their physicians and nurses. For images and procedures: See Appendix 1 and 2.
The system features a dual battery set-up that allows HCPs to utilize one or both batteries independently, as well as swap out batteries while the device is in use (such as during an extended patient procedure that a physician cannot leave from). Additionally the belt system, with the fan/chassis on you lumbar and 2 battery on ports on both hips gives a better weight distribution for improved comfort in extended usages (such as a surgeon leaning in an awkward position during the operation). The use of an inline filter means that air is pushed into a filter at the end of the device, as opposed to regular PAPRs that pull air through filters. This setup means that the risk of an imperfect seal compromising air quality is virtually nullified as no negative pressure system exists after air filtration in our device. Additionally, the aforementioned inline filters are better at filtering biological particles without disturbing airflow than standard P100s and are already used extensively in anesthesiology and respiratory care departments of hospitals across the country.
After printing the device’s chassis and shroud, integration with an inline bacterial/viral filter, housing, and masks will be followed by on-site fit and efficacy testing to ensure proper device assembly.[6] Then, an HCP would don their mask, clipping the paPURE chassis and two smart power tool batteries to a provided utility belt, and connecting to the mask via a hose. At most, we expect equipping paPURE to add 1-3 minutes to a medical professional’s routine and greatly improve safety and comfort.
An Improvement from Traditional PAPRs
Our technology eliminates the need for a middle-man manufacturer. Because the only required components are readily available to hospitals and clinics, hospitals can produce the device as per their need. We anticipate working with local 3D-printing facilities to produce and assemble the product, then to distribute the Filtrexa PAPR to hospitals. Physicians and NIOSH officials (most notably Richard Metzler, the first Director of the National Personal Protective Technology Laboratory at NIOSH), have already given us promising feedback regarding the need for this technology, and we are looking into potential partnerships with PPE developers and/or motor manufacturers. Some hospital purchasing experts have additionally communicated a need for affordable PAPRs. Our solution is over 10 times cheaper than current PAPR technologies ($155; see Appendix 2, Figure 2), increasing likelihood of adoption. To allow smaller hospitals to easily obtain our technology, we plan to raise awareness of our business through phone calls and emails to hospitals throughout the country.
Implementation Plan
paPURE’s solution is implementable almost immediately. The main barrier between our tested prototype and implementation is FDA/NIOSH approval (FDA EUA Sec II/IV Approve NIOSH Certified Respirators). We have also identified conditions that will allow us to expedite the regulation and roll-out of the production (such as the IDE and 501(k) pathways suggested to us by regulatory experts).[15] Because our device is based on existing PAPR technology, this predicate nature in combination with existing precedents for 3D-printed medical technology, can help expedite its deployment.[16]
Our technology minimizes the need for a middle-men. We are partnering with regional additive manufacturers to allow for quick, standardized, yet still decentralized production of the device. The only required components are readily available to hospitals and clinics, allowing HCPs to produce the device as per their need. Additionally, if regulatory approval permits, we may utilize local schools/universities/hospitals with on-site 3D printers in order to allow for fully decentralized manufacturing. After NIOSH Approval, our device (and depending on regulatory guidelines, possibly our CAD file) will be sent to those with 3D printers available, who could print and assemble the device (See Appendix 3.1).
Players involved in the production of this technology would be hospital assembly workers, but the design is easily assembled by anyone (the only limitation being that assembly be done under a fume hood to prevent contamination). Physicians we’ve already talked to have given us promising feedback regarding the need for this technology. We are currently looking into potential partnerships with PPE developers (See Appendix 3.2) and/or motor manufacturers. Our solution is over ten times cheaper than current PAPR technologies (See Appendix 3.3), increasing the likelihood of adoption.
Due especially to the length of this health crisis, hospitals are facing dire shortages of PPE. This has accelerated our timeline, but we are confident that it is feasible given the current state of emergency (See Appendix 3.4).
Since this product has yet to be implemented in hospitals, we are writing to you today to gauge your interest in paPURE. Additionally, any feedback you have relating to our product or interest in helping us with laboratory testing of paPURE would be greatly appreciated.
We anticipate our project to reach full fruition within 6-12 months. Our timeline is as follows. Our second iteration of prototyping for clinician testing will conclude in 2-3 weeks, followed by initial clinical testing, which will finish in around 1.5 months. As soon as clinical testing is finished and the product is validated, we will submit our product officially to NIOSH for regulatory approval. We anticipate receipt of regulatory approval within 1.5 months from submission. After approval is obtained, we will also apply for either a provisional patent or copyright, depending on legal advice. Within 1-2 months after regulatory approval, we plan to roll out our product to hospitals via centralized 3D-printing. During the next 1-2 months, we will continue to iterate and optimize the product. Official hospital rollout, with multiple 3D-printing partners and company partnerships, will occur around a month later. This will be around 6-7 months from now. As seen, our timeline is aggressive as we wish to equip healthcare providers with PPE as soon as possible. The prior goals mentioned in our timeline are our key goals and objectives for the project at this time.
Current Testing and Partnerships
Technical Testing is being carried out at Filrexa's primary residence and at Johns Hopkins University and includes analysis of airflow data, battery life, and filtration efficacy. For clinical testing, we already have established connections for clinical testing with both Johns Hopkins Medical Institute and Stanford University. In regards to business-focused assistance, we have also partnered with FastForwardU for advising regarding intellectual property protection, strategic marketing, and clinical networking.
Planned Partnerships
We plan to designate one 3D-printing company (current candidates include Xometry, Protolabs, Cowtown, and Health3D) as our manufacturer during our initial launch into the market, but will continue to partner with additional 3D-printing companies as our business grows. Due to our unique manufacturing approach, all hospitals, regardless of their size, will be able to order and quickly receive PAPRs, lowering the impact of the current shortage. In order to supply the auxiliary materials such as motors, batteries, and more, we plan to initiate company partnerships with large corporations such as 3M, Dyson, Black and Decker, GE, Cuisinart, Hitachi, Makita, Shop Vac, Hoover, Bissell, Shark, iRobot, and Bosch.
Additional Video
https://youtu.be/iFMtzt52BEQ
Appendix and Citations
Click here!
Website
paPURE Website
Built With
3dprinting
cad
cpap
p100 | paPURE | paPURE is a hospital accessible PAPR Technology utilizing 3D printing and readily available hardware to give healthcare's frontline the gold standard of personal protective equipment right now. | ['Sanjana Pesari', 'Hannah Yamagata', 'Sneha Batheja', 'Joshua Devier'] | ['2nd Place Overall Winners', '1st Place', 'The Wolfram Award', 'The Best Business Idea', '3rd Place Hack', 'Best COVID-19 Hack'] | ['3dprinting', 'cad', 'cpap', 'p100'] | 15 |
10,040 | https://devpost.com/software/emergency-app-8o1jd0 | where people matter
Inspiration
Lange ungemütliche Wartezeiten vor Ort und Unsicherheit/Angst beim Patienten.
Gerade wenn es um eigene Kinder geht, oder man selbst einfach unsicher und ängstlich ist, hilft es sich per Video-Call Sicherheit zu verschaffen und die Wartezeit in gewohnter Umgebung "abzusitzen".
In Zeiten wie Corona ist es auch nicht von Nutzen, volle Wartezimmer zu pflegen oder im schlimmsten Fall Patienten aufgrund fehlender Kapazitäten wegzuschicken.
Krankenhäuser und weitere Notfall-Hilfen sollen sich auf ihre Patienten konzentrieren können und nicht vom vielen Overhead durch Bürokratie oder volle Wartezimmer abgelenkt werden.
Was es tut
https://docs.google.com/presentation/d/1LK_ae_E1Uz3EzMbkML2cNita8ChJc-1iuTXnk7YEkJs/edit?usp=sharing
Die Grund-Version der App zeigt auf, wie sich der Patient per App für die Video- oder Warteliste vormerken kann.
Die Videoliste dient der Erstanamnese per Videokonferenz, so dass dem Patienten vorab bei der Entscheidung geholfen wird, ob und wo er vorsprechen sollte.
Die Warteliste ist eine flexible digitale Warteliste, in die man sich von zu Hause aus eintragen kann, oder im Falle eines Video-Calls eingetragen wird. Man wird in Echtzeit informiert, wann man ungefähr dran kommt und vor Ort sein soll. Sind Behandlungen früher oder später fertig, wird die Warteschlange entsprechend angepasst und bei signifikanten Änderungen der Patient informiert.
Die Warteschlangen-Position ist vorerst nur reserviert und wird bei Ankunft im Krankenhaus bestätigt. So wird sichergestellt, dass es zu keinem Stau kommt, sondern einfach immer der nächste Patient, der bereits vor Ort ist, vorgezogen wird und dran kommt.
Aus Krankenhaus-Sicht kann man sowohl die Videoliste, als auch die Warteschlange einsehen.
Video-Liste beinhaltet die Funktionalität die Patienten anzurufen und dabei Notizen festzuhalten. Diese ist von der Warteschlange insofern entkoppelt, dass der Bereich bei fehlenden Krankenhaus-Kapazitäten von einer Zentrale bearbeitet werden kann.
In der Warteliste kann man die Warteschlangen-Position bestätigen, oder Leute als "behandelt" markieren. Hier kann man auch Leute hinzufügen, falls Patienten auftauchen, die sich nicht vorab angemeldet haben.
Es wird auch ein Notfall-Button erstellt, mit dessen das System weiß, dass sich ein Notfall vorgeschoben hat und entsprechend alle Warteschlangen-Positionen um x Minuten verschiebt.
Eine Einstellungsseite erlaubt es dem Krankenhaus folgendes anzugeben:
Durchschnittliche Untersuchungsdauer für Standard- und Notfallpatienten
Wartezeit vor Ort (Patient soll x Minuten vorher auftauchen)
Anzahl Aerzte pro Tag / Uhrzeit (Wochen/Monatsplan)
Moeglichkeit das taeglich zu Ueberschreiben
Wir sind stolz auf...
Nicht eine App "from scratch" in 48 Stunden, sondern 2!
Erschaffung von einem Produkt aus einer Idee in 48 Stunden.
Jede Kritik förderte die Kreativität bei der Entwicklung
Kommunikation basierte auf beidseitigen Respekt
Was haben wir gelernt?
Quasar ist toll!
Remote-Arbeit steht der Produktivität nicht im Weg
Was kommt als Nächstes für Emergency App
Ziel der App soll es sein, das Arbeitsaufkommen in Krankenhäusern zu vereinfachen, damit diese sich auf die Patienten vor Ort konzentrieren können. Hierzu muss man sich die entsprechenden Workflows anschauen, um herauszufinden, wo es weitere Optimierungsmöglichkeiten mit Hilfe der App gibt.
Genauso wichtig wie dem Krankenhaus zu helfen, ist es auch, hierbei den Fokus auf den Patienten nicht zu verlieren. Die erste Version der App hat bereits einen Weg, um Patienten vorab zu helfen und unnötige Krankenhausbesuche zu vermeiden. Hier ist es auch wichtig, dass weiter zu denken, um eventuelle Optimierungspunkte zu finden
Erste Ideen zu weiteren Features sind:
Digitalisierung weiterer Prozesse: Erstanamnese-Bogen digital vorab an Kunden schicken und ausfuellen lassen
Patientenverteilung auf Krankenhäuser: App zeigt Warteschlangen-Anzahl an und schlägt ein Krankenhaus mit geringerer Zahl im Umkreis an
Automatische Priorisierung der Patienten aufgrund der Grundangabe
Scannen der AOK Karte / digitale Gesundheitskarte
Datensicherheit: QR-Code Check-In Schalter zum Freischaltung eigener Daten im Krankenhaus und automatischen bestätigen der Warteschlangenposition
Was uns von anderen Lösungen unterscheidet
Während wir das Arbeitsvolumen im Krankenhaus verringern wollen, bleibt unser Fokus weiterhin auf dem Patienten.
Der Patient soll zu jeder Zeit selbst entscheiden können, ob er die Vorab-Anamnese wahr nimmt, oder diese überspringt und sich in die Warteschlange eines Krankenhauses setzt. Die Video-Telefonie der aktuellen Version ist lediglich eine Lösung, die den Patienten in die richtige Richtung leiten soll.
Alle weiteren Optimierungsmöglichkeiten werden sorgfältig überdacht und umsichtig umgesetzt, so dass weiterhin der Service, der dem Patienten angeboten wird, Priorität hat.
Built With
apollo
cherrypy
composition-api
docker
graphql
jitsi
python
quasar
typescript
vue.js
vuetify
Try it out
github.com
github.com | SmartER Clinic | Ihr digitales Wartezimmer | ['Betuel Stewart', 'Lidiia Lazebnikova', 'Javier Castillo', 'Anton Parsons', 'Lee', 'Stephan Göppentin'] | [] | ['apollo', 'cherrypy', 'composition-api', 'docker', 'graphql', 'jitsi', 'python', 'quasar', 'typescript', 'vue.js', 'vuetify'] | 16 |
10,040 | https://devpost.com/software/supplychainmanagement | Rough Mock-Up - Demand Distribution (Regional and Time)
Rough Mock-Up - Matinain Demand and Register Organization
United Nations Product Identification
Business Value Chain - Basis Solution
Business Value Chain - Additional B2B SCM Integration
Demand Data Model
Demand Application Flow
Inspiration
Crisis can be powerful sources of inspiration...
Through our families in Spain and Mexico, we were direct witnesses for the collapse of the sanitary system during COVID-19.
People were deeply desperate -and depressed-, due to the impossibility to buy FFP3 masks for infected persons, in order to protect other family members from an infection. I know several families in which almost all members were infected by one single person. All that nice hand-made masks do not help in such situations. FFP3 standards become necessary.
Even sending masks from Germany to Spain was forbidden by the Spanish government, to stop the speculation, exploding black-market and price gouging.
Many of us had the sensation that Spain was thrown back to the middle age.
And all that time, I could not stop thinking about, how easy all the solutions were, which I ideated, designed and in partly developed for SAP systems in purchasing and SCM area (eBay integration with Catalog, Spot Quote for Ariba Network, One-Click Shopping Cart, SRM Sourcing Cockpit Integration with Ariba Network...). None of them were rocket science and almost all belong now to the standard product of SAP.
- Would it be possible to deliver any analogue technical solution to solve or at least to mitigate the above exposed issue?
- And if so, would it be possible to measure the effect of such a solution to the reduction of the problem?
What it does
The solution here intends to answer exactly that questions.
It is basically a
public platform
to...
easily report product demands at the consumer level
(hospitals, retirement homes, supermarkets, public institutions, offices, NGOs, etc.)
forecast the demand plan for selectable critical materials
(demand plan calendar)
identify geographical gradients of the demand which could be balanced
(demand plan map)
provide necessary overall statistical information to optimize logics chains
Features:
Centralized public database for demands
Storage of demands on the level of doctor´s offices, supermarkets, schools, companies, retirement homes, etc., including the geographical information.
Storage of demand plan and actuals data in the timeline.
Access to the centralized public data via Mobile App
Application Modules
Rough prototype of the demand database (only plan data) - easy regional data model based on post codes intervals and on a calendar week basis.
Phone App UI to maintain demands
Phone App UI to display the demand data in a timeline range for a region
Phone App UI to display a geographical map of the demands (in progress!!)
Who should use it?
Demanding organizations - to report demand plans
Material requirements planners - to identify when to increase the production rate at a production plant
Logistic companies - to identify regional gradients and estimate the probability of last-minute plan changes per region, impactin e. g. the transports
Health authorities and governments - to monitor the demand evolution and degree of fulfillment and identify on time the need of measures
Challenges We ran into
Knowing the demand plan in a particular time frame ("Real-Time" Information).
Knowing the regional gradients in availability and production capacity (Geographic Information).
Publishing the demand information (Transparency).
Coping with a larger time zone shifting for the cooperation, at such a short timeline. Sporty!
Technical Challenge: integration of google services with Firebase Cloud Platform for the calendar and geographical information.
Accomplishments that we´re proud of
The easy, intuitive application, delivering value already in few clicks
We have a solution which is technically integrable with > 150.000 companies using SAP SCM and other non-SAP ERP/SCM products due to the usage of standard exchange technologies.
Usage of United Nations conform material categories to allow an international and global usage
How I built it
For the Demand database: FireBase cloud platform
For the services reading and maintaining the demand data: FireBase cloud database
For the UI: Flutter Google Ui toolkit
Built With
android
firebase
flutter
Try it out
gist.github.com | SMAL: smart supply chain management | SMAL is an app that aims for a centralized public database for product demands by doctor´s offices, supermarkets, companies, etc.. It delivers demand maps and calenders useful for SCM optimization.. | ['Ana Nunez-Ruiz', 'Aaron Rodriguez', 'jorge Cornejo'] | [] | ['android', 'firebase', 'flutter'] | 17 |
10,040 | https://devpost.com/software/langzeituberwachung-von-risikogruppen | Infrastructure
Inspiration
In Zeiten von Corona gibt es viele Akutpatienten, die sich nicht mehr trauen den Kontakt zum Arzt zu suchen. Laut Prof. Sebastian Schellong vom Städtischen Klinikum Dresden wurde ein Rückgang von etwa. 30% der Akutpatienten beobachtet. Besonders stark betroffen sind Herzkatheterlabore und Stroke-Units. Um den Patienten die Angst zu nehmen steht die Idee im Raum ein System zu entwickeln das weitesgehend kontaktlos funktioniert.
Die Idee
Um die Überwachung von diesen Patienten zu vereinfachen, wollen wir ein Systementwickeln, welches Patient und Arzt mithilfe von IoT und Cloudtechnologien zusammenführt.
Dabei soll der Patient die Möglichkeit bekommen Gesundheitsmetriken an den Arzt zu übermitteln. Dies passiert entweder per Smartwatch / Smartband oder mit einem digitalen Formular welches mit der App mitgeliefert wird.
Die zuständige Gesundheitseinrichtung wird mit einem Web Dashboard ausgestattet mit dem diese Patienten überwachen können.
Die Überwachung findet auf zwei Ebenen statt.
1.) Durch personenbezogene Alarmeinstellungen.
2.) Durch regelmäßige Web Termine.
Zielgruppen
Akutpatienten die sich durch die aktuelle Pandemielage nicht mehr in Behandlung begeben.
Technische Realisierung
Das Team
Wer steckt hinter den (O)Bamas?
Wir sind Informatikstudenten aus Offenburg, die sich nicht nur eine Wohnung, sondern auch die Leidenschaft fürs entwickeln neuer Apps teilen.
Live Demo
Sie wollen unser System ausprobieren? Kein Problem folgen sie dem Link zu unserer Homepage und folgen Sie den hier beschriebenen Schritten:
Dashboard
Das Dashboard kann über den Link der Homepage geöffnet werden.
Die Login Daten für den Benutzer Account sind:
Benutzername: demo
Passwort: demo
Aus Sicherheitsgründen sind nur Lesende Zugriffe aufs Dashboard erlaubt.
Um alle Funktionen zu Sichten dürfen Sie sich gerne auch die Screenshots ansehen.
Health-Tracker
Installationsanleitung
Download der Health Track App von
https://demo.kekistan.info/
Es gibt 3 verschiedene Version, für moderne Handys ist die "health-tracker-arm64.apk" ,für ältere Modelle sollten sie die "health-tracker-armeabi.apk" herunterladen und für Emulatoren ist die "health-tracker-x86_64.apk".
Nach dem Donwload navigieren sie entweder über FileBrowser/Apps oder Downloads zu der health-tracker.apk und installieren die app mit einem klick.
Bei der installation müssen sie die Option "Apps aus unbekannten Quellen" aktivieren, folgen sie hier dem Button ihres Gerätes.
Außerdem kann es vorkommen das die App als nicht sicher eingestuft wird,
dies liegt daran das diese noch nicht im PlayStore veröffentlicht wurde. Klicken sie hier auf den ausgegrauten installieren button.
Danach sollte die App auf ihren Handy installiert sein.
Benutzeranleitung
Register
Für die Regestrierung der Health Tracker App wird eine Email und ein 6 stelliges Passwort benötigt.
Außerdem wird beim Startup der App ein Google Account abgefragt,
dies kann genutzt werden um erhobene Daten der Google Fit App durch die Health Tracker App zu erheben/analysieren.
Login:
Einfaches Login durch Email und Passwort das bei der Regestrierung angegeben wurde.
MainPage:
Auf der MainPage erwarten sie zwei Tabs:
Der erste Tab zeigt die verschiedenen Auswertungs Schaltflächen an.
Mit einem einfachen klicken auf eine Schaltfläche wird man auf die StatistikPage weitergeleitet.
Der zweite Tab ist für das manuele senden eigener Daten, dies kann verwendet werden falls kein Google Fit Daten genutzt werden.
Wichtig zu wissen: Die Google Fit Daten werden nur von dem aktuellen Tag erhoben an dem die App jeweils gestartet wird.
StatistikPage:
Hier werden Daten des letzten Monats visuell aufbereitet und Dargestellt.
Screenshot Demo
Dashboard für Praxen
Hier können patientenspezifische Daten gesichtet werden. Der Arzt kann die Daten im Zeitstrahl verfolgen.
Der Arzt kann Alarmgrenzen setzen um den Patienten oder sich selbst zu Benachrichtigen.
Die Nachrichten können personalisiert werden.
App Health-Tracking
Anmelde Screen:
Login Screen:
Formular für Nutzer ohne Smartwacht/Fitband (Google Fit):
Es können mehrere Metriken gleichzeitig erfasst werden:
Übersicht der erfassten Daten. Daten über Klick auf die Schaltfläche sichtbar:
Auswertung der Daten:
Quellen
https://www.springermedizin.de/covid-19/diagnostik-in-der-infektiologie/aus-angst-vor-corona-nicht-zum-arzt-/17921188
Built With
bootstrap
docker
firebase
flutter
grafana
java
springboot
xen
Try it out
demo.kekistan.info
gitlab.com
files.kekistan.info | Langzeitüberwachung von Risikogruppen | Wir kümmern uns um die Langzeit Datenerfassung bei Risikopatienten mit übermittlung zu Ärzten | ['marius Kiefer', 'Florian Osiander', 'Johannes Zimmermann', 'Andreas Deister'] | [] | ['bootstrap', 'docker', 'firebase', 'flutter', 'grafana', 'java', 'springboot', 'xen'] | 18 |
10,040 | https://devpost.com/software/avba-auslastungsverbesserungen-bei-arztpraxen | Termin-Warteschlange
Termin eintragen
Startpage
Loginseite
Inspiration
Der Gang zum Arzt kann eine zeitraubende Erfahrung sein. Es kann teilweise mehrere Stunden dauern, bis man es endlich in das Behandlungszimmer geschafft hat. Oft verbringt man die Wartezeit in kleinen Wartezimmern welche oft auch schlecht belüftet sind. Wäre es nicht viel besser wenn man eine Nachricht aufs Smartphone bekäme und nur noch wenige Patienten in einem Raum für kurze Zeit warten müssten?
Oder wenn das Smartphone einem mitteilt, dass man noch nicht losfahren müsse?
Wäre es für die Arzthelfer und -helferinen nicht angenehmer, wenn Sie nicht ständig gefragt werden "Wann bin ich dran? Wie lange dauert es denn noch?"
Wäre es nicht toll, wenn der Arzt eine Runde Dokumentation einschieben könnte, wenn er es wollte und nicht erst warten müsste bis alle Patenten weg sind? Besonders wenn schon 3 Notfälle unangekündigt in der Praxis waren?
Was tut die Software
Die Software versendet Terminveränderungen basierend auf der Wartezeit in einer Patientenwarteschlange. Die Schwester muss nur noch den Patienten, dessen E-Mail, Anfahrtszeit und gegebenen Falls zusätzliche Anweisungen (nüchtern, kein Autofahren) eintragen und der Patent wird anschließend darüber informiert wann er wirklich erscheinen muss und ob es Verzögerungen gegeben hat.
Ich habe die Schwestern-Ansicht freigeschaltet, damit man die Idee besser ausprobieren kann. Im richtigen Leben muss sich vorher angemeldet werden um die Dokumentation sicherzustellen.
Aus Gründen des Spam-Schutzes habe ich die E-Mail Funktion abgeschaltet.
Wie wird die Software erstellt?
Ich habe ein Wordpress als Grundlage verwendet.
Probleme/Lessons Learned
Teambildung verläuft nicht immer wie geplant und es kann passieren, dass man am Ende allein arbeitet.
Subdomain und Verzeichnisschutz können sehr viel Zeit in Anspruch nehmen
Worauf ich stolz bin
Das Video besonders, da es innerhalb von weniger als 4 Stunden geskripted, eingesprochen, bebildert und geschnitten wurde.
Der Seiten-Prototyp
was ich gelernt habe
Wie man den Video-Produktionsprozess beschleunigen kann
Ein paar neue Wordpress interne Features zu verwenden
Was kommt als nächstes?
Termindopplungs-Warnung
Termin anpassen
Weitere Arten der Kontaktaufnahme (SMS, Anruf, Push-Nachricht)
Termin-Import
Anbinden an Arzt vorhandene Patienten-Verwaltungssysteme
Built With
wordpress
Try it out
avba.collie-it.com | AVBA - Auslastungsverbesserungen bei Arztpraxen | AVBA soll die Wartezeiten beim Arzt verbessern, in dem die Termine dynamisch nach Auslastung angepasst werden. Weniger Patienten müssen gleichzeitig warten und die Zeit kann sinnvoller genutzt werden. | ['Anne K. Frey'] | [] | ['wordpress'] | 19 |
10,040 | https://devpost.com/software/health-companion-efficient-hospital-stay | Our chatbot interacting with the user to make an appointment using command line.
An abstract view of what we tried to and have achieved in this project.
We also interfaced out chatbot with Facebook Messenger.
Inspiration
Inspiration is partly from the challenges of the Freiburg Hackathon 2020, as well as from our own values and desires.
What it does
Provides solutions for appointments management, basic disease diagnostics and suggestions for treatment, interfacing the communication between users and services/institutions to make the overall process before seeing the doctor easier.
Health Companion Web App and Mobile App Functionalities
HealthCompanion aims at optimizing the journey of an individual from the point of time any user would like to seek medical assistance. This is supported by an informed decision-making process, through a variety of functions including a chatbot, an appointment manager, modes of transportation, etc.
This application targets time optimization by helping users with early diagnosis and choosing the right professional and helps accommodate patients in vacant institutions. This is achieved by connecting individuals with health care institutes and adjacent services to ease communication.
The process starts by the user communicating the symptoms and concerns to the associated Personal Companion which in our case is a chatbot. Analysis of the information will recommend the best advice based on the criticality of the case.
Nevertheless, if the user opts to visit a hospital, the app will start by providing information to help commute to the hospital. Through the usage of a QR code that is generated, the required patient' information can be recorded and this helps to access the necessary services provided by the hospital. This limits the personal contact between the patient and health care staff.
Design Prototype
To showcase the entire application, we have designed a prototype using Adobe XD, it includes a web-based application and a mobile application. The prototype helps better visualise the application with working components. Adobe XD provides cloud storage and backing up of files which played a key role to design the prototype by enabling better collaboration with the team members.
Functionalities
Making an appointment:
The user can provide his/her location and other necessary details and the application will suggest a hospital/clinic/pharmacy in the vicinity, and later makes an appointment for him/her. Underneath it uses (proposed) GE Healthcare API to manage appointments. The functionality is built using Java, Java servlets and Hibernate as the middleware, and MySQL as the database. Unit tested in order to test the functionality of the component. It provides a dashboard which shows the availability of doctors and prompts the user for upcoming appointments.
Analyse symptoms
The chatbot takes the symptoms from the user and runs machine learning classification algorithms to provide a probabilistic result on what the problem might be. It combines algorithms like Gaussian Naive-Bayes, Random Forrest and Decision Tree Classifiers, similar to
this project
.
Search Institution
The user can provide his/her location information and the type of medical institution (hospital/clinic/pharmacy) s/he is looking for, and the chatbot application suggests the nearest possible match with availability information.
Chatbot
The chatbot is built on Python with the NLU based Rasa open-source machine learning framework, which uses the powerful Spacy library underneath. It can "understand messages, hold conversations, and connect to messaging channels and APIs."
Rasa
The bot can distinguish between time, date, and type of health institution. It can pick up names and contact details such as age, gender, location, and phone number of the user. The bot can also distinguish between symptoms.
With these pieces of information, it can perform actions such as
Make Appointment
,
Search Institution
, and
Analyse Symptoms
.
The bot can provide information on the details of a made appointment. Such include the address, name and type of institution, date and time which correspond to that particular appointment.
Improvements and Future Work
Further improvement on the Chatbot would include adding more intents, example intent messages, more actions, more symptoms, and story samples - all of which are required for a good functioning bot.
Make Appointment
action needs to be properly adapted to the FHIR Appointment Architecture and the API of the GE Edison Digital Solutions for Scheduling (e.g. Appointment.status, Appointment.date, etc.).
Analyse Symptoms
action needs to be fully integrated and improvement for better symptom analyzing APIs or ML Frameworks would be beneficial.
How We built it
Python, Java, Adobe Premier Pro, Adobe Spark, Adobe XD, Spacy, GE Edison Digital Solutions, and more.
Built With
adobepremierpro
adobespark
adobexd
java
python
spacy
Try it out
github.com
github.com | Health Companion | We are developing a system that eases the use of health institutions and services. | ['Dimitar Boeff', 'https://youtu.be/YpGbQ16QYOw', 'Timo H', 'Nicolas Barbieri', 'Aishwarya Chandradhara', 'Utsav Kanavi', 'Mahmoud Assaf'] | [] | ['adobepremierpro', 'adobespark', 'adobexd', 'java', 'python', 'spacy'] | 20 |
10,040 | https://devpost.com/software/virtual-health-checkup-modelling-of-coronavirus-technoband | Technoband
Software Modelling of Future conditions of CoronaVirus
Inspiration
Daily surge in cases, health conditions of citizens pushed me to work hard
What it does
It predicts the curve of future conditions of any country w.r.t. data set available
How I built it
I built it through software, that have been mentioned.
Challenges I ran into
Lots of challenges, but overcomes and got the results as expected
Accomplishments that I'm proud of
That I did something, which satisfies and help at least one citizen, then the chain will follow up.
What I learned
I learned new softwares, skills
What's next for Virtual Health Checkup|Modelling of CoronaVirus|Technoband
If got success, wanna make it open source.
Built With
arduino
c++
embedded
matlab
python
webex | Virtual Health Checkup|Modelling of CoronaVirus|Technoband | Future prediction with Virtual checkup online and Smart electronic band | ['Shreyansh Pagaria', 'Maor Mashiaxch'] | [] | ['arduino', 'c++', 'embedded', 'matlab', 'python', 'webex'] | 21 |
10,040 | https://devpost.com/software/get-work-nsza80 | logo
user interface for service seekers
Possibility to change your profile from service seeker to service offers
user interface for service offers
only app where you can see when your service is coming (other then driver like on uber)
6 members of team
Inspiration
Millions people uneployment all around globe. All service providers on one app!
What it does
It is the only app where one can find reviews, price, location, experience and contact of service provider in one place,
focus is on C2C type of mediation and
on traditional services where 2 people phisically meet like: • Home care and design (interior designing, pest control, cleaning, laundry, glasswork, woodwork, waterproofing, masonry, carpentry...) • Repair and maintenance (handyman, locksmith, plumber, electrician...) • Health, wellness, and beauty (manicure, pedicure, physiotherapy, massage, trainer...) • Others (nanny, tutor, cooking, walking pets, shooping...)
How I built it
MY TEAM USE ANDROID AND VISUAL STUDIO.
This solution is disrupting the traditional business models, replacing them with a platform to connect the major stakeholders of a service exchange (Service provider and customer). Current MVP is a web page where one can offer or book services. The process is not automated yet so applications, bookings and all communication is first going to administrator. Furthermore, the implementation of Google maps is missing so locations are added manually on the map. There is no possibility to create and edit a profile or to leave reviews and comments. There is currently 14 service providers offering their services trough the web page.
Challenges I ran into
Financial means needed are for covering first year of operational expenses:
Computers 3.150 USD
Marketing 5.249 USD
Office ownership 42.362 USD
Bookkeeping 1.575 USD
Sallary 35.302 USD
Accomplishments that I'm proud of
WE HAVE PATENT ! Name of patent: SUSTAV ZA POVEZIVANJE PONUDE I POTRAŽNJE USLUGA, reported at Croatian Herald of Intellectual Property (Hrvatskom glasniku intelektualnog vlasništva) No. 5/2019 (8th of March 2019) Patent No. P20171297A. Holder of intellectual property rights: Mario Marević, Podgorske skale 9, Makarska
WE BUY A FIRM IN NORTH SIDE OF CROATIA THAT ALSO FIND SERVICES THROW WEB
What I learned
My team learned app functionalities: • service provider info (name, photo, education, professional experience, list of services) • service provider (and seeker) rating, reviews and comments • possibility for service seeker to determine suitable time and place where he wants the service to be provided — once provider agrees this way they both know particular time of delivery and a time duration • push notifications (when service is booked, when booking is accepted, when appointment time is changed, reminder to leave a review) • location of provider on map + real-time tracking • price of services provided (HRK/h) • browsing trough options with filters like service type, location, price and reviews • recommendations of service based on proximity, reviews, comments and price. • quick and easy payment mode (cash or card) • provider contact info — available once the service is booked which allows easy communication • overview of all available service options, while the most quality ones will appear on top
What's next for Get Work®
LETS PUT THIS WAY:
Unemployment rate goes up. There was 8.995 unemployed people in Split, 16.548 in Zagreb, 3.700 in Rijeka and 5.049 in Osijek in March 2020. There was 8,3% (152.590) unemployed people in Croatia. Unemployment Rate in Croatia averaged 16.9% from 1996 -2020. According to Trading Economics unemployment Rate in Croatia is expected to be around 13.50% in 2021.
By 2020, the number of freelancers is projected to outpace full time workers - 73% are looking for a job on dedicated internet platforms.
Because of economic crisis more people will need an extra source of income —79% of existing users in on-demand economy are working as part-time.
APP GET WORK IS TOLL THAT WORD NEED IN THE YEARS TO COME BECAUSE OF ECONOMY CRISES CAUSED BY CORONA-VIRUS
Built With
android-studio
visual-studio
Try it out
drive.google.com | Get Work® | Get Work® - Mobile app between service providers and service seekers. Booking and offering services in accordance with 21st century. | ['Mario Marevic'] | [] | ['android-studio', 'visual-studio'] | 22 |
10,040 | https://devpost.com/software/bedspot-medical-facility-relief | -
Built With
android-studio
atom
firebase-authentication
google-firebase
javascript
node.js
reactnative
rn-maps-module | - | - | ['Johan Bronkhorst', 'Alexis Papathanassopoulos'] | [] | ['android-studio', 'atom', 'firebase-authentication', 'google-firebase', 'javascript', 'node.js', 'reactnative', 'rn-maps-module'] | 23 |
10,040 | https://devpost.com/software/wecare-5l9dgi | Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
New logo.
Update with a key.
Hotspots for countries.
Options from the start.
Questions about your health.
Hot spots.
App design
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Unless being mandatory, we did not observe the large-scale adoption of these technologies by the crowd. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities.
WeCare Solution
WeCare is a cross-platform app that enables you to track the health status of your loved ones. Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates on best prevention practices. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
WeCare includes a contact tracing module that follows the guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
. It is an international collaboration of top European universities and research institutes to ensure the safety and privacy of individuals.
What we have done during the weekend
Have been in contact with other channels in Brazil and Chile.
We have updated the pitch (extended), app-design and backend connection of the app this week. New contacts with Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn. We have also modified the concept of Care Circle and how to add/remove individuals. Now, the app is very easy-to-use with minimal input (less than a minute per day) from the user. We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
The Hackathon brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live hotspot map, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models.
Also for the testing of the iOS version, we ran to the new restriction of App Store for COVID-related apps, which should be backed up by some health authorities or governmental entities.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Public support: a partnership with authorities and potentially being a part of government services to be able to deploy it on AppStore. It also makes WeCare more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Pitch:
https://youtu.be/7fMrVqxoPKY
Pitch extended version:
https://youtu.be/Vo0gs3WlptU
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | ['Alex Zinenko', 'Sina Molavipour', 'Ania Johansson', 'Hossein S. Ghadikolaei', 'Christian M', 'Seunghoon HAN', 'Tomasz Przybyłek', 'Mohamed Hany', 'Alireza Mehrsina'] | ['1st Place Overall Winners', '2nd Place'] | ['node.js', 'python', 'react', 'vue.js'] | 24 |
10,040 | https://devpost.com/software/wecare-0fjkb9 | Summary: Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
The problem WeCare solves
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities. The closest solution is
COVID Aggregated Risk Evaluation project
, which tries to aggregate environment, contacts, and symptoms into a single risk factor. WeCare takes a different approach and a) visualizes those factors (instead of combining them into a single risk value) for more tangible risk communication and b) incentivizes individuals to regularly check their symptoms and share it with their Care Circle or health authorities.
WeCare Solution
WeCare is a digital platform, both app and website. Both platforms can be used separately, and with freedom of choice towards the user. The app, however, will give users more information and mobile resources throughout the day. Our cross-platform app enables symptom tracking, contact tracing, and environmental risk evaluation (using official data from public health authorities). Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. This map is accessible on the app and our website. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
Our contact tracing module follows guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
, which is an international collaboration of top European universities and research institutes to ensure safety and privacy of individuals.
What we have done during the summer.
We have updated the app-design. New contacts with Brasil, Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn.
We have consolidated the idea and validated it with a customer survey. We then developed a new interface for
website
and changed the python backend to make it compatible with the WeCare app. We have also designed the app prototype and all main functionalities:
Environment: We have developed the notion of hotspots where we have developed a machine learning model that maps the certified number of infected people in a city and the spatial distribution of city population to the approximate number of infected in the neighbourhood of everyone.
Contact tracing: We have developed and successfully tested a privacy-preserving decentralized contact tracing module following the
(PEPP-PT)
, guidelines.
Symptoms tracking: We have developed a symptom tracking module for the app and website.
Care Circle: We have designed and implemented Care Circle where individuals can add significant ones to their circle using an anonymous ID and track their health status and the risk map around their location.
You can change what info you want to share with Care Circle during the crisis.
The app is very easy-to-use with minimal input (less than a minute per day) from the user.
We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
EUvsVirus Hackathon Challenge opened its online borders recently to the global audiences which brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live map indicating hotspot regions of the COVID-19 real-time dataset, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models. We approached Skill Mentor Alise. E, a specialist in epidemiology, who then explained in greater detail that the proper prediction and risk modelling should take into account a large number of factors such as population, epidemiology, and mitigations, etc., and take caution on the information we are presenting to the public. Coupled with the lack of official datasets available for specific municipalities for regions, we based geocoding data mining of user input by area codes cross-compared with available Sweden cities number of fatalities, infected and in intensive care due to COVID-19.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Public support: a partnership with authorities and potentially being as a part of government services, though not being necessary, to make it more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | [] | ['2nd place', 'Best EUvsVirus Continuation', 'Best Privacy Project'] | ['node.js', 'python', 'react', 'vue.js'] | 25 |
10,041 | https://devpost.com/software/adopt-a-senior-6723gb | Adopt-A-Senior
Our grandparents were the primary inspiration for our project. Our grandparents live all alone with only infrequent visits from their caretakers. Because the elderly are labeled as high-risk for contracting COVID-19 , they are unable to go outside very often or run daily errands, causing them to feel an even larger sense of isolation than the rest of the population. A program like Adopt a Senior would be beneficial because it would provide not only living essentials such as groceries and medication to seniors but also a lifelong companion.
We worked with HTML, CSS, and Javascript to create the entire program. Because we were inexperienced with Javascript, one of the hardest tasks was building the symptom checker. We had to do an extensive amount of research on how to create an automated chat room that analyzed the user’s symptoms and displayed results accordingly. We learned strategies for debugging our code and the benefits of using Github to collaborate on projects.
Built With
css
html
javascript
Try it out
github.com | Adopt A Senior | A website where young adults can “adopt” a senior citizen and help them with everyday tasks while forming a friendship. | ['gabytran Tran', 'Annie Xu', 'Purbasha Majee'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Coupon for 4 month of service'] | ['css', 'html', 'javascript'] | 0 |
10,041 | https://devpost.com/software/donation-central | Seeing a connection between some people in need of items and others getting rid of them. Many people have also asked me where they can donate certain items that are not normally accepted at well known places like Goodwill. The need for items such as PPE, food, and clothes is still urgent and it can be fulfilled by people doing spring cleaning and donating the food they stockpiled before lockdown.
Gives a list of places that are open even during the pandemic and accepting donations.
Using html and Visual Studio Code
Learning html and formatting the website
Creating something new and practical with my new skills
html
Expanding the website to cover all areas in the US by allowing users to type in a zip code and pulling up a list of donation centers.
Built With
html
v3 | Donation Central | A website that is a resource for people to find places to donate items to support those impacted by COVID-19 and simultaneously provide a solution for the increase in waste caused by COVID-19. | ['Matthew Rutter', 'Jennifer Xu'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Bugsee service credits'] | ['html', 'v3'] | 1 |
10,041 | https://devpost.com/software/stay-local | Inspiration
Covid-19 has taken a toll on local businesses. We developed this extension in an effort to raise awareness for this issue and make it easier for consumers to support their local businesses.
What it does
Stay Local adds a small house icon onto local business listings on Google so you can easily see which restaurants and stores are locally owned. It also adds a small Black Lives Matter symbol onto black-owned stores on sites like Etsy.
How We built it
We built the front end using HTML and CSS. The identification of businesses is built using javascript and calls to our own API. Our backend is built on NodeJS on Cloud Functions, and Gin Go on Google Cloud Kubernetes engine.
Challenges we ran into
Backend:
Dockerizing and writing a
docker-compose.yml
file was very hard. We went with PostgreSQL rather than MySQL, because I have experience with AWS Aurora, but AWS didn't sponsor this event, and PostgreSQL is closer to it than MySQL. We had a series of problems with port forwarding, however once we realized how simple PostgreSQL is everything came easily. Our final struggle was moving our system onto Google Cloud Kubernetes engine which was surprisingly easily after everything else.
Front end:
Writing fetch requests
Embedding HTML
Accomplishments that we're proud of
Backend:
When I built the Golang Kubernetes API, we followed a tutorial. But after doing everything it said nothing worked. I got so annoyed I copied their code because I thought maybe I had done a step wrong, but their source code didn't work either! After 2 hours of debugging, I caught the bug in their code, and I submitted a PR to their Github Repo to fix it.
This was my first time working with Kubernetes, and though I have been studying Golang for a few weeks, this is my first project with it. I'm proud that it works!
Front end:
Working extension
Pretty website
What we learned
Learned a lot about Golang
Learned about Kubernetes
Learned about Javascript fetch requests
What's next for Stay Local
Currently, our extension only works on a few select sites, in the future, we'd like to expand our database and make it more versatile to better identify locally-owned and black-owned businesses.
Built With
css
dart
docker
gin
golang
html
javascript
kubernetes
postgresql
Try it out
github.com
local-businesss.web.app | Stay Local | An extension that identifies locally owned and black owned businesses | ['Ken Myers', 'Michelle Nguyen', 'Benjamin Swerdlow'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Sublime text personal license'] | ['css', 'dart', 'docker', 'gin', 'golang', 'html', 'javascript', 'kubernetes', 'postgresql'] | 2 |
10,041 | https://devpost.com/software/coronashop | Our Logo
Our tagline - Safe shopping starts with us!
Inspiration
According to the W.H.O, 6.15 million people in the world have contracted the novel Covid-19 disease and 374,000 people have died of Covid-19. A newly revised study shows that over 147,000 Americans will die of Covid-19 by early August. Many senior citizens and many immunocompromised people need to get essential goods, but they can’t expose themselves to the Covid-19. There are many teenagers trying to help and get volunteer hours, but don’t know how to do it, especially during the Covid-19 shelter-at-home order.
What it does
CoronaShop is a free delivery service for senior citizens and immunocompromised people served by teen volunteers. CoronaShop works in two parts - Firstly, it provides senior citizens/ immune-compromised people an easy way to get groceries/other essential items delivered to their home free of charge while not getting exposed to Covid-19. Secondly It allows teenagers to earn volunteer hours by picking up items from stores and delivering them to at-risk people . By using CoronaShop, we can help reduce hospitalizations and help health care workers from being overwhelmed.
How we built it
For the purpose of Geom Hacks, instead of a mobile app, we developed a website using HTML, CSS and javascript. Later this week, we plan to build an app in Swift and Xcode as well.
Challenges we ran into
Challenges we ran into were customizing CreativeTim to be applicable for CoronaShop. We ran into trouble when we were mapping the button layout. Finally, we ran into problems scripting some functions in javascript because it was our first time doing something so big with an unknown website, CreativeTim.
Accomplishments that we're proud of
We designed and developed 10 pages for our website using HTML, CSS, JavaScript, and material design icons. We did some scripting as well to show some features work. We used custom features from CreativeTim Material Kit PRO showing how material design looks like.
What we learned
We first started building CoronaShop using regular HTML and our own css files. But we wanted to build a really good UI. We got to know of Creative Tim Material Kit Pro which provides a UI Kit inspired by Material Design. Not only did we use this kit, we customized it as well and learnt a lot about stylesheets and scripting.
What's next for CoronaShop
We plan to expand our app by increasing the area of delivery to a national standpoint. Then our ultimate goal is to go global. This will allow us to help all the old and at-risk people to get through seasons and times when illness is rampant in our world. We hope the world will be much safer and illness will not take the lives of our at-risk friends and family.
Built With
creativetim
css3
html
javascript
Try it out
github.com | CoronaShop | Helping the at-risk and elderly thrive during a pandemic | ['Shishir Bahubali', 'Ad J'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['creativetim', 'css3', 'html', 'javascript'] | 3 |
10,041 | https://devpost.com/software/paccelerate | How we calculate a 2D image's depth
Image of packages a user would upload
Computer vision's response to inputted image
Front PDF the user can print out to put in on top of objects in their image for scaling
Background PDF the user can print out to put in the background of their image for scaling
Inspiration
As many local and small businesses lose money in sales during quarantine, many are looking to sell online. Figuring out how to best ship and package your merchandise is an important and expensive part of online business.
What it does
Paccelerate utilizes computer vision (OpenCV) and the Paccurate API to allow users to print out some QR codes and snap a quick picture for instant package measurement and packaging suggestions. This saves the user significant time, as it automatically makes rough measurements of all your objects for you, so all you need to do is enter their weight. You then get in return a simple diagram on how to fit your packages into one cost-effective shipment.
How we built it
The main aspect of this app is computer vision. A QR code is placed on the ground that has a special background tag with is the text "PaccuratePad:3:3:Back" or PaccuratePad:6:6:Back" with the numbers being the dimensions in inches, encoded as a QR code. We know the size of the QR code in real life and can, therefore, estimate how many pixels are in an inch at that depth in the image. Then we search for all the QR codes on top of objects. We know those QR code's dimensions as well since these QR codes are encoded to say "PaccuratePad:3:3:Front" or PaccuratePad:6:6:Front". Using these QR codes we can easily measure the length and width of any object in the image. We then superimpose a number on top of all the objects so that the user knows which object to refer to when inputting the weight.
Challenges we ran into
Finding an object's depth is the real issue with a 2D image. The user isn't providing us with multiple angles, we don't know the calibration of their camera, and we don't have an idea of any of the reference angles in the image. After hours of brainstorming, the solution we came up with to find image depth determines each QR code's actual size (in inches), its size in the image (in pixels), the focal length of the camera (in mm), and the digital zoom of the camera. To find the focal length and digital zoom of a camera, we use the command-line tool
ExifTool
, which gives us all the metadata captured from the phone's camera about the image and the camera. Then we can scan the QR code in the image to find its size in real life, and can use OpenCV to easily get image size. After all this data has been collected, we run
def depth_finder(object_width, real_width, width, focal_length, zoom):
object_width = (zoom / focal_length) / width * object_width
perceived = (math.pi / 180 * focal_length) * object_width
object_distance = real_width / 2 / math.tan( perceived / 2 )
return object_distance
which successfully returns the object's depth to about 1/4 inch accuracy!!
Below is the JSON our computer vision returned for the example images in the slideshow attached:
{
"image": "data:image/jpg;base64,/9j/4AAQSkZ...",
"objects": [
{
"item_depth": 15.03,
"item_height": 3.02,
"item_number": 1,
"item_width": 3.0
},
{
"item_depth": 28.29,
"item_height": 2.89,
"item_number": 2,
"item_width": 3.0
}
]
}
Accomplishments that we're proud of
Getting OpenCV to properly detect and find the QR codes and objects was a huge struggle. The edges are very rough and we wanted this to be applicable anywhere with ease, so we couldn't just swap in a green screen as the background. We ended up sample pixel colors around the QR code to create an image mask that gets applied, removing that specific color range. This leaves that object black and makes it much easier to use edge detection on.
What we learned
OpenCV is an incredibly powerful, though complicated, tool. The things that can be accomplished with it are impressive, although given more time a ML approach to detect boxes may be a more robust idea.
What's next for Paccelerate
We hope to incorporate AR to measure the images more accurately from the client-side, eliminating the need for our API and therefore cutting an average of 1-2 seconds per image. We would also like to integrate our Paccurate API response with EchoAR to show the user a 3D AR model of exactly how their products would fit together to be shipped and so they could see just how much space it would take up.
Built With
base64
css3
flask
html5
javascript
json
opencv
paccurate
python
react-native
Try it out
github.com
docs.google.com | Paccelerate | Optimizing logistics and packaging for businesses going online during the pandemic using the Paccurate API and computer vision | ['Eric Andrechek', 'Ansh Gupta', 'Jainil Shah'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Paccurate API project 1st place'] | ['base64', 'css3', 'flask', 'html5', 'javascript', 'json', 'opencv', 'paccurate', 'python', 'react-native'] | 4 |
10,041 | https://devpost.com/software/efika | Inspiration
With COVID-19, less and less people are shopping physically at supermarkets and many are opting for safer approaches, such as ordering items for pickup or ordering items for delivery. However, not all stores have adapted to this change, and many aren't optimized to handle such a large increase in demand for pickups and deliveries, especially as it requires workers to know where items are to collect them for fulfilling an order. This is especially problematic with newer workers and volunteers, who haven't received the chance to get familiar with the store layout and the location of many items around the store. We believe that there was a more efficient solution for this problem, and so we created Efika. Efika is a mobile app that helps store employees work more efficiently.
What it does
Each employee of a store would create an account in Efika and link it to their store. When they log in, they are brought to a list of active orders, sorted from oldest to newest. When they click on an order, they get more information about the order's details, such as the number of items it contains, the estimated time it'll take to complete, and whether or not all the items would be able to fit in a basket. Once the worker chooses to fulfill the order, they are brought to a page where they can view the order's items and see more specific information related to each item.
For this first item, it hasn't been registered in the database yet, so the worker will need to locate the item by scanning through the aisle, which can get tedious over time. However, this is where Efika shines. Instead of having future workers scanning through the same aisle again for the same item in the future, when the worker checks off the item, they are brought to a page where they can perform short and simple steps to help future workers find the item more easily.
Firstly, it's easier to find an item when you know what the general location around the item looks like, so the worker can take a picture of the item along with its surroundings to help give more context about where a particular item is. Once they are satisfied with their image, they can then also help future workers pinpoint exactly where an item is using the compass on their phone. By standing at the start of an aisle and pointing the phone directly at the position of the item, they can save the offset of the compass bearing of a certain item relative to its aisle so that when future workers enter an aisle, they can use Efika to locate the item using their phone's compass.
When the worker is finished performing these steps, they are then brought to their next item, and as you can see, the previous item is crossed off so that they can keep track of the items that they've collected. Now, this product already has an entry in the Efika cache, so you can scroll through the images other workers have taken of the item and its surroundings, helping you find the item more quickly. As well, when you reach the aisle, you can stand at the start and toggle on Efika's compass feature, which shows a green sliver pointing at where the item is located based on the saved compass bearing offsets from other workers using Efika.
Efika also comes with profiles, where you can view the contribution of your co-workers and yourself to fulfilling orders and saving items. This provides motivation among the employees in the store, which is a really powerful way to get workers to become more efficient. You can search for your fellow co-workers and view their profiles, or check up on yours to make sure you're not slacking off.
Our app also comes with a handy feature for workers who need to pack items on a certain shelf or space. We used Paccurate to help workers most efficiently fit items on a shelf. This is especially useful for stores who have many assorted items on display, such as stores displaying many books on tables where there's a limited amount of space. Here, you can see generated images about how some sample items should be placed on the shelf or display.
How I built it
We built the app using Flutter, which allowed us to create a beautiful UI in a short amount of time. The backend was created with Node.js and hosted on Heroku.
Challenges I ran into
Despite our previous experience with Flutter, we came across a couple of challenges that ate away at our precious hackathon time. For example, I spent two hours trying to figure out how to avoid a Flutter RenderFlex error until I decided to simply change my app layout to avoid the error altogether.
In addition, it was also hard to find a data source for our app. We ended up web scraping some big retail websites and using randomly generated data for things like item dimensions simply because we weren't able to find a satisfactory source of this information online.
Accomplishments that I'm proud of
We're proud of creating a complete Flutter app in only 48 hours!
What I learned
Despite me believing that I already know a lot about Flutter, I keep finding new problems in Flutter and trying to search for solutions to these problems. In this hackathon, I learned how to use the camera in Flutter, how to use the Compass package and also learned a bit more about Flutter state management.
What's next for Efika
There were a lot of original ideas that we couldn't implement due to the lack of time. For example, we originally wanted to integrate echoAR into our app to display arrows on the ground pointing to the item. However, we realized that we needed an indoor position system to be able to pinpoint items accurately, which we weren't able to find. Thus, we had to switch up our approach by finding a unique use of compasses to solve this problem. Of course, there are many flaws with a compass-based approach (such as it only working from one side of the aisle, not always as accurate as you would hope, etc.), so we're still on the hunt for a better solution to solve this issue!
Links
Flutter App Github Repo:
https://github.com/AbstractLion/Efika
Node Backend Github Repo:
https://github.com/AbstractLion/EfikaBackend
Backend hosted on Heroku:
http://efika-geom.herokuapp.com/
Built With
dart
express.js
flutter
node.js
paccurate
Try it out
github.com
github.com
efika-geom.herokuapp.com | Efika | Helping store workers and customers become more efficient. | ['Leon Si'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['dart', 'express.js', 'flutter', 'node.js', 'paccurate'] | 5 |
10,041 | https://devpost.com/software/reopen-q2ctgb | Inspiration
Small businesses have been going under because of the quarantine due to COVID-19. This effect was felt far and wide, and it even hit close to home. One of our friends’ family owns a restaurant, and when they closed it due to the stay-at-home order in our state, they faced huge financial setbacks. The dilemma they face now that the stay-at-home order has been lifted is how to re-open safely as the COVID-19 crisis continues to rage across the nation. This inspired us to create ReOpen as a way for our friend’s restaurant as well as thousands of restaurants nationwide to reopen without having to worry about the semantics of the COVID-19 virus.
Functionality
ReOpen consists of 3 tools that allow for businesses to plan around the COVID-19 pandemic. The first tool is the sector allotment tool, which allows for businesses to see how many people each sector in their business should attend each work each day depending on how important it is for a certain sector to be physically present at work. The second tool is a seating chart, which generates a scale model of the office and shows the business owner where employees’ desks should be located to ensure they are all a safe distance apart. The generated image is also given with a key, which displays the scale of the image(how many pixels in the image equal on real life foot). Finally, ReOpen has the Employee Schedule Generator tool. We’ve already created the seating for the specific room, but since not every employee from the company will attend work every day, we need to create a schedule for which specific employees attend work on which specific days. This tool allows the business owner to generate this data over a 30 business day period, and download it as a text file. Ultimately, these 3 tools all assist the business owner in determining the safest way to re-open their business and operate.
Sector Allotment
Using information provided by government regulations, COVID-19 Reports by JHU, and the Centers for Disease Control and Prevention, our team developed an algorithm to determine the total area of space for each individual in order to maintain a safe distance from their colleagues from all sides. Then, using the total square footage in the room, we calculated how many employees could fit into the office while accounting for a marginal error of space taken up. However, because some departments require a larger attendance at the office in comparison to others, our algorithm uses the priorities and weighted averages to allot individuals from each department.
Seating Generator
The seating generator algorithm took in the length, width, and amount of people in a room. It first checked to see if it was possible for these people to fit in the room given social distancing standards. If it was, then the JavaScript code stored the width and length of the computer screen in cookies to be accessed later. The PHP script then accessed the height and width of the screen and determined the ratio of width to height, creating a room that took half the width of the screen and had a height determined by ratio * displayed with. This generated a “model room” that was to the same scale as the original room. Finally, employees were distributed throughout the room in the most efficient way while still ensuring that there was at least 6 feet of distance between each employee, and a scale was generated by dividing the total width of the room by the displayed width in pixels.
Employee Schedule Creator
The employee schedule creator algorithm first split the given employees into a list to ensure that they could all be allocated into respective shifts. The algorithm then determined the maximum number of employees that could work in the given room on each possible day. Then, the algorithm went through the given list of names for a 30 day period and created a schedule for each day such that each employee would work an equal amount of days throughout a 30 day period. Finally, the day of the week, as well as the employees working on that specific day, were written into a file which was then displayed as a button the user could click to download the file.
Challenges I ran into
Making the site easy to use:
As a result of the web application containing three different tools which we were so accustomed to, it was often difficult to gauge how navigation-friendly and intuitive the site was. Hence, we gave the site to our family members to see if they could use and understand the site easily. Unfortunately, the site proved to be too difficult to navigate for them. To cope with this, we implemented features with the purpose of making the site clearer for new users.Our first objective regarding this was adding a button on the home page of the site that would take users to a diagram that we had created. This diagram was developed and formatted in such a way that it would easily provide an outline of the steps that needed to be taken in order for the user to re open their own business, as well as provide a short summary of each tool. Next, on the page of each tool, we added a short description under the title of the tool that briefly explained the functionality and output of the tool. Finally, we formatted our results pages to be cleaner and more visually appealing. All of this helped to guide users across the site and make it more intuitive and user friendly.
Coordination for a virtual hackathon:
This was our first time doing a virtual hackathon, and the fact that none of us could meet each other only made working together on the project more difficult. It was definitely hard at first to coordinate who would take on what part of the project and delegate work. We overcame this project by getting on a group call and dividing up portions of the site. In doing so, we divided and conquered several portions of the site and ultimately were able to properly work together to build our application.
Future Plans That We Will Integrate
Calculate the chances of a business’s employees being affected by Coronavirus based off of an image of the current seating arrangements of the rooms in the building.
Converting the 2D Seating Arrangement Diagram generated into a 3D design using EchoAR.
Provide the user with COVID-19 alerts and information relative to the location of their business’s building.
Allow businesses to enter the efficiency/work ethic of each employee for the schedule generator to keep certain employees around for more days.
Built With
000webhostapp
bootstrap
cdc
cdn
cookies
css3
filestream
html
javascript
pace
php
wow
Try it out
reopen.000webhostapp.com | ReOpen | COVID-19 has resulted in businesses temporarily closing, however, ReOpen provides a plan shifting employees back into their offices safely while maintaining all of the required COVID-19 precautions | ['tuff games', 'Archit Mehta', 'Darshan Lakshminarayanan'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'HyperX Gaming mouse'] | ['000webhostapp', 'bootstrap', 'cdc', 'cdn', 'cookies', 'css3', 'filestream', 'html', 'javascript', 'pace', 'php', 'wow'] | 6 |
10,041 | https://devpost.com/software/your-covid-briefing | Browse Articles
Briefing
Inspiration
Over the past few months, the news has been more prominent in our lives than ever. In addition to this rush of information, misinformation seems to be even more prominent, with the phrase "fake news" becoming part of our everyday vocabulary. It is for this reason that a method is needed for people to better keep up with current events in this uncertain time.
What it does
It is a machine learning powered aggregator of news stories. It aims to allow people to quickly develop a basic and accurate understanding of current events. The website allows users to browse through summarized versions of long articles, explore topics or cross reference documents through automatically labeled documents, or analyze the trustworthyness of information through detections of biased language.
In addition to allowing users to browse through articles with these features, all of these technologies are combined into a single, user friendly web app where the user can simply enter how much time they have, and receive a "briefing" containing articles that contain the widest variety of topics and are as unbiased as possible.
How I built it
The webserver is hosted using Flask.
The automatic topic labeling is done through an unsupervised machine learning algorithm called Latent Dirichlet Allocation, using the gensim library. The model was trained of 4000 scraped news articles about the coronavirus.
The promotional language model is a deep learning model called an LSTM, the full architecture is on
https://github.com/AlexWan0/Your-Covid-Briefing
.
Challenges I ran into
Web design is something that I'm still new at, creating a responsive design took some time.
Accomplishments that I'm proud of
The promotional language detector worked surprisingly well, it ended up being more accurate than I expected.
What I learned
I have never used Latent Dirichlet Allocation before, so creating that was a great experience.
Through this, I also I strengthened my skills in other areas like web design.
What's next for Your Covid Briefing
I want to focus on improving the efficiency and accuracy of the promotional text model, there's still some room for improvement. Some aspects of the web design still need polishing as well.
Built With
flask
gensim
keras
python
Try it out
yourcovidbriefing.com
github.com | Your Covid Briefing | Make Sense of the Headlines | [] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'AoPS coupon', 'HyperX Gaming Keyboard'] | ['flask', 'gensim', 'keras', 'python'] | 7 |
10,041 | https://devpost.com/software/accountability-buddy-xlqnmj | 2nd Place in Design Track (Listed as Amazon Gift Card above)
Top 20 Overall (Listed as Wolfram above)
Inspiration
Earlier this spring, schools all over the world closed because of COVID-19, and classes switched over to online-only. Many students saw their grades slip, and they began to fall farther and farther behind. Had they all suddenly become lazy slugs who didn’t care about their futures anymore?
The short answer is, no. What happened was that they lost the social support network of teachers and classmates that had helped keep them accountable for meeting their goals in school. It was actually a lot like life outside of school. No one is going to grade them on staying healthy, exercising, and applying for scholarships, jobs, and college.
Fortunately, there has been quite a lot of research on the psychology of goal setting and achievement (especially in business and professional sports) that we can use to help ourselves achieve whatever goals we set. Repeated studies have shown that sharing our goals with another person, an accountability partner, can help keep us motivated and on track to achieving those goals. This works in two main ways. Once we publicly state a goal, we have an innate sense of wanting to achieve that goal (or at least to avoid failing to achieve it in front of a witness). Furthermore, an accountability partner can offer encouragement and support to help keep us on track.
This is why we created Accountability Buddy, an app that helps people stay committed to their goals and motivated to reach them.
What it does
Accountability Buddy is designed to be a streamlined and easy to use app that focuses on helping users write their goals down, then accomplish them. First, it has a gesture focused user experience, designed to allow users to quickly interact with their goals in a fluid manner. Next, it allows for users to quickly share their goals by texting them to a friend. Lastly, we use gamification to encourage users to complete the goals they set for themselves by rewarding them with AR Buddies (3D animal models) using echoAR.
How we built it
While we generally do most of our developing in React and Typescript, we built Accountability Buddy in Flutter because we wanted to gain experience in native mobile development, and create an expressive UI that is expected with native apps. Rather than focus on one platform or another, however, we decided to use Flutter, because it allows us to compile our single codebase to Android, iOS, Web, and desktop.
In addition, we used the echoAR platform to bring a user’s different AR Buddies to life, adding increased incentives to the gamification feature.
Challenges we ran into
This was our first time using Flutter, or doing any native mobile development in general, so the start of the hackathon was spent learning the platform. We are very happy with what we accomplished by the end of the hackathon. We also had hardware limitations with echoAR, because we don’t own an Android device that is capable of running WebXR, but the code works, even if we can’t see the results.
Accomplishments that we're proud of
We’re very proud of the app that we were able to produce in such a short amount of time. We’re really happy with how it responds to user gestures and swipes, and how intuitive and cohesive the UX is as a whole.
What we learned
We learned a ton about Flutter and Dart this weekend, starting from practically nothing. We also learned a lot about mobile development in general, specifically the Material spec, and how to implement it effectively to create intuitive experiences for the user.
What's next for Accountability Buddy
In the future, we hope to add push notifications to the app so that it can act as an Accountability Buddy and follow up with you if you don’t share a goal with a friend. We’d also like to implement users and to store goals to a database because currently everything is stored locally on a user’s device.
Built With
echoar
flutter
twilio
Try it out
github.com | Accountability Buddy | Find the support you need to reach your goals | ['Nathan Dimmer'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'echoAR API project 1st place'] | ['echoar', 'flutter', 'twilio'] | 8 |
10,041 | https://devpost.com/software/suisense-i2cnrd | Home Page
Analysis
Progression of Depression
Pairings View
Support Forum
Local Support
Therapist Form
Analysis Complete
Our Mission
Our Process
Frequently Asked Questions
Note for the demo: if anything happens to glitch, reloading should be able to solve the issue.
Inspiration
While our team has been fortunate to adjust well to COVID lifestyle, those suffering from mental instability have not been as lucky. With health problems, employment issues, and social isolation stacked on top of their already fractured mental health, the problem of suicide has been ignored and hardly addressed, increasingly maginalizing those struggling with mental health. Specifically in the Bay Area, where we live, doctors have seen more deaths from suicides than COVID-19 itself during quarantine(ABC News).
Our team decided that we couldn’t ignore the struggles of those suffering from insurmountable mental stress during quarantine.
Thus, we took a unique approach to the COVID-19 theme.
Instead of solving a direct issue stemming from the pandemic, we looked to solve an indirect issue, one with an even larger magnitude: Mental Health. Direct problems created by COVID such as mass unemployment and gaps in education have received much attention, but the implications COVID has on mental health has been ignored.
Facebook and other companies have created algorithms to detect posts with suicidal sentiment. However, these solutions are insufficient because: 1) people are deterred by robots which provide generic advice and resources, and 2) they are less likely to publicize their feelings on social media as opposed to privately speaking to their friends in-person or over text. Support and assistance from a friend instead of robots is far more ideal.
The problem is that humans are unable to accurately detect these cryptic phrases that can be considered “suicidal”, let alone distinguish them from less severe depressive sentiment. Due to quarantine, it is hard for friends to pick up on non-verbal cues signaling that their friend is struggling, making detecting mental instability even more difficult. Additionally, early detection is key especially during the COVID crisis as the longer a person is struggling and alone, the more likely they are to commit self-harm. We filled this critical hole through AI and ML, which can find the intricate details and differences in these messages based on comprehensive datasets.
What it does
SuiSense is a unique progressive web application that allows concerned family and friends to determine whether their struggling loved one is on the path to suicide. The core of our project is a Natural Language Processing model (
Sci-Kit-Learn
) that classifies a phrase someone says as representing suicidal tendencies, depression, or neither. Users can input text from their messaging conversations, memory of their in-person conversations, letters, diary entries, or screenshots (powered by
TessaractOCR
). Classifying between suicide and depression is critical because the implications and methods for support are completely different, but determining the difference is a precise task that is best dealt with through ML.
Through extensive research, we were able to find a dataset from Medium which web-scraped Reddit for thousands of posts from “r/depression” and “r/SuicideWatch”. The phrasing of the posts in each dataset are very similar, and thus it requires more than just 1 single sentence to make an accurate prediction. We managed, trained, and improved our model using automations from
UIPath AI-Fabric
. We also created a web-scraper to periodically collect data from the subreddits to increase our training sets and thus improve our classifier. We documented all our progress and thoughts in our Jupyter Notebook, so we recommend reading the notebooks. We deployed all our models using
Google Cloud
and
PythonAnywhere
.
After our model determines a primary classification, we then feed data into our progression model, which also uses NLP. Psychologist Jesse Bering discovered six stages on the path from depression to suicide, and our model accurately assesses what stage a patient is at and the severity of their depression. We trained this model on metadata specific to COVID, including employment status, health problems, how the person was affected by COVID, and more. During COVID, the progression of these stages happens at a much faster rate, meaning detecting which stage a patient is at is urgent.
Next, our framework allows friends and family to find the best therapists to address their specific needs. Given that COVID has taken away in-person interactions and other forms of meeting therapists, our Javascript algorithm gives quick and easy recommendations to help struggling people find therapists. We store all user data and classifications in Firebase from
Google Cloud
. We also have local therapists and support centers displayed on a Map, powered by the Google Maps API.
Lastly, we have a support page that allows therapists and patients to post on a forum, similar to a blog, creating a safe community for those who feel lonely and isolated. Since COVID has forced people online, creating online forums is a redesigned way to cope with loneliness and provide a great opportunity for regular people to communicate with certified therapists about different problems.
How we built it
After numerous hours of wireframing, conceptualizing key features, and outlining tasks, we divided the challenge amongst ourselves by assigning Adithya and Ishaan to developing and designing the UI/UX, Ayaan to building the NLP model and web server, and Viraaj to integrating
Google Cloud
functions,
TessaractOCR
, and our python webapp.
We coded the entire app in 4 languages:
HTML, CSS, Javascript
, and
Python
(Python3 /iPython). Developing and optimizing our NLP model and creating our python web was done through
Jupyter Notebook
,
PythonAnywhere
, and
Google Cloud
. We used
Javascript
to create our pairings algorithm, and used
Google Cloud
to store our data for the 3 algorithms and the support forum. We hosted our website through
Netlify
and
Github
.
Challenges we ran into
The primary challenge that arose for us was training and deploying of our model. Since this was our first NLP project, we struggled to train and make predictions with NLP models as our model utilized too much data and was too large to store on PythonAnywhere. Fortunately, after reading documentation, we were able to learn how to prune our model weights, and we learned how to properly deploy our models on their own webserver and embed it into our primary site.
Accomplishments we are proud of
We are incredibly proud of how our team found a distinctive yet viable solution to those who are struggling with mental instability due to COVID-19. We feel accomplished because of how efficiently we built off our specific research from various sources and applied them in a technological context to build one
fully functional
product. We are extremely proud of developing a solution that has not been previously considered in this setting and putting it into functional form.
What we learned
Our team found it incredibly fulfilling to use our Machine Learning knowledge in a way that could effectively assist people struggling with their mental health, especially during such a strenuous time where their existing difficulties are amplified. Seeing how we could use our software engineering skills to impact people who are often ignored and stigmatized in society was the highlight of our weekend.
From a software perspective, learning NLP was our main focus this weekend, as it was our next step in our ML journey. We learned how to effectively build NLP models and deploy them as python web apps. We grew our web development skills and built our nicest UI so far.
What is next for SuiSense
Since our application is free and all over the web, our project can be scaled and implemented anywhere and with many other programs, such as the National Suicide Prevention Lifeline. Our project is very
scalable
because we have already integrated a userbase foundation in Firebase, and since our product is free of charge and infinitely reproducible, it can be grown at an extremely high rate. With the possibility of a second wave for COVID, it is imperative that people have access to resources that can improve and stabilize their mental health and prevent suicides. Additionally, we aim to integrate SuiSense in schools and workplaces. These are high-pressure environments where people’s mental health is gradually deteriorating; we feel that our software will allow compassionate friends to accurately recognize their peers’ struggles and provide them with personalized and trustworthy support. Lastly, we want to collect more data from other forums and possibly find a dataset of notes from suicide victims to improve our classifier.
Built With
ai
automation
css3
firebase
google-cloud
google-hosting
google-maps
html5
ipython
javascript
jupyter-notebook
ml
natural-language-processing
python
pythonanywhere
tessaract
uipath
Try it out
suisense.space
github.com | SuiSense | Using NLP to distinguish suicidal messages and provide personalized support | ['Ayaan Haque', 'Adithya Peruvemba', 'Viraaj Reddi', 'Ishaan Bhandari'] | ['Amazon Gift Card', 'Linode Promo Code'] | ['ai', 'automation', 'css3', 'firebase', 'google-cloud', 'google-hosting', 'google-maps', 'html5', 'ipython', 'javascript', 'jupyter-notebook', 'ml', 'natural-language-processing', 'python', 'pythonanywhere', 'tessaract', 'uipath'] | 9 |
10,041 | https://devpost.com/software/papr-light-sjie7l | dsafcsadf | PAPR light | PAPR light | ['Mohamed Hany'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | [] | 10 |
10,041 | https://devpost.com/software/envision-fjo5ks | Home Page -- Browser Extension
Ocular History Page -- Browser Extension
Mobile App -- Page 1
Mobile App -- Page 2
Mobile App -- Page 3
Check out our
business plan
,
slides
, and
code demo
!
Inspiration
It’s no lie that day by day, coronavirus cases are surging across the globe, forcing more and more people to stay at home and stare at screens for hours on end. Whether it be students relying on their devices to complete homework assignments or adults in the tech industry who need a device to communicate with clientele, our current situation is forcing people to spend the majority of their day working on a device such as a laptop, computer, tablet, or smartphone.
With the sudden increase in screen time, our ocular health is at risk. Blinking is vital for cleaning the ocular surface of debris, but when using a computer, the blinking rate drops a whopping 60%. The only way we can truly protect our eyes from our harmful devices is by monitoring our eye health while we are looking at a screen.
What it does
enVision is a browser extension that utilizes real-time personalized data in order to evaluate a user’s eye health and provide customized suggestions on when to take breaks and rest your eyes as well as complete brief eye exercises. The extension connects to a digital retinal scanner that can be placed over a device’s front camera. Through constant scanning of the user’s blinking rate per minute as well as the analysis of change of movement among the pupil, the app draws conclusions about the user’s eye health and releases alerts accordingly. If the user does not meet the minimum threshold values for pupil movement and blinks per minute, enVision identifies user-specific patterns and creates a custom recommendation for taking screen breaks and performing eye exercises. This allows the user to take the necessary precautions in preserving their vision even with the drastic increase in their daily screen time.
How we built it
For the web and mobile applications, our team developed a prototype in Framer to allow users to create and access their accounts. Additionally, when users create their accounts, they will be prompted to provide some basic ocular history. On the web application, users will be able to install the browser extension and it will provide notifications whenever the user is not blinking or moving their eyes enough.
The retinal monitor was coded in Python and it detects the eyes’ blinking rate using the retinal camera scanner to detect the eye location. We used NumPy and OpenCV-2 to get the eye location depending on the shape and enable the retinal camera scanner. The retinal monitor was added to the web application which was coded using Python and the Flask API with embedded HTML.
For the physical retinal camera scanner, we designed it in AutoDesk Inventor. The final CAD model displays a 3D replica of the retinal scanner placed over a laptop webcam. The model as a whole represents a laptop screen while the smaller rectangle on the top middle represents the retinal camera scanner placed directly over the laptop webcam. This demonstrates the physical usage of the retinal scanner in correlation to the user’s device.
Challenges we ran into
We wanted to implement our retinal camera scanner into our submission, however, due to the lack of time given and the limited cv2 and NumPy python knowledge, we were only able to use some source code (credit: Shameem Hameed) to make a simple retinal monitor that just tracks blinking rate for a custom amount of time and not pupil movement. With a more advanced camera, we could further develop our application to look at pupil movements for all eye colors (it is currently hard to look at dark eyes without a proper camera), make an actual profit for selling the camera, and do many more tests to ensure it works smoothly.
Additionally, we would like to include machine learning to have more customized reports, but due to the lack of user testing and the short amount of time given, we were unable to incorporate it into our app. Another thing that we are looking into is neural networking so our data will not be reliant on threshold data, but instead realtime data from the x amount of users.
Accomplishments that we're proud of
As for the accomplishments we are proud of we were able to develop a prototype of the retinal scanner. We developed a CAD model to showcase the retinal scanner as well as demonstrate how the retinal scanner would be attached to the computer. Although we were on a time crunch and had bare knowledge in coding in Python, we're incredibly proud of the fact that we not only coded a proof-of-concept, but also created several detailed mock-ups for our browser extension and mobile app.
Another accomplishment was that we were able to contact and receive support from the judges as well as a few mentors who gave us excellent suggestions to make our device and browser extension more effective and helped us ensure that enVision would actually function.
One of our other major accomplishments was that we were able to get survey results from over 97 active screen users in the past couple of hours, and this survey was vital for our team to perform market validation and ensure that our problem was valid and widespread. We are also proud of the UI design that we made on Framer. We have never used it to make UI design layouts for websites and applications. We created the Framer design during the actual hackathon time constraint.
What we learned
From enVision, we learned and understood how to code the blinking rate feature in Python. Using Python we were able to code how the web application would monitor the blinking rate of the user. We also learned how to create effective yet simplistic UI designs. These UI designs for the web application and the mobile application helped us ideate and understand our concept. We also learned how to develop an intricate CAD model. We were able to develop a CAD model on Autodesk Inventor that showcased how the retinal scanner would look like.
What's next for enVision
The next steps for enVision include developing a companion app. We want to create an application as it will allow for easier convenience and accessibility by the user. Along with this, we want to create a mobile-friendly retinal scanner, and incorporate a more extensive eye exam that will ensure more accurate and efficient threshold values.
We also want to further develop our browser extension to track user posture and face touching.
Built With
autodesk
cad
cv2
flask
numpy
python
Try it out
github.com | enVision | Monitor today for a healthy tomorrow. | ['Trishala Jain', 'Mihika Bhatnagar', 'Anika S', 'Sasha Mittal'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Magoosh Subscription Code', '1517 Venture Capitalist Funding', 'The Think Board Prize (Third Place)'] | ['autodesk', 'cad', 'cv2', 'flask', 'numpy', 'python'] | 11 |
10,041 | https://devpost.com/software/fakenewsify-news-credibility-checker | A peek at the MongoDB database we're using
About
A web app geared towards disclosing real vs fake news articles and sources while visually representing them
Built With
bootstrap
flask
mongodb
newsapi
pymongo
python
Try it out
github.com
fakenewsify.herokuapp.com | FakeNewsify | A web app geared towards disclosing real vs fake news articles and sources while visually representing them | ['Prithviraj Singh Shahani', 'Anushka Saxena', 'Nand Vinchhi', 'Estefania Jimenez', 'Jeremy Nguyen'] | ['Amazon Gift Card'] | ['bootstrap', 'flask', 'mongodb', 'newsapi', 'pymongo', 'python'] | 12 |
10,041 | https://devpost.com/software/eye-can-code | Home page.
List of tutorials provided.
Simple print("hello").
More complex function.
Inspiration
With the recent COVID-19 pandemic, students worldwide have transitioned to online schooling. For some students, however, the transition has been harder than for others. Near where Veer lives is the oldest school for blind students: Perkins School for the Blind. Veer had always wanted to help them, and, during these times, he decided to help them when they needed it more than ever. Together, Veer and Saber worked on an online platform dedicated for the blind and targeted for Veer and Saber's favourite lesson: programming.
According to the National Federation of the Blind, COVID-19 has had a disproportionate impact on the blind, with many facing additional challenges during the pandemic. From an education standpoint, blind students and blind parents face uncertainty about the types of electronic materials they will be expected to use for the remainder of the academic year, making it hard for them to keep up with classes. Lastly, it is difficult for the visually impaired to learn how to code on their computer, a challenge which has been exacerbated by the pandemic.
What it does
We built a text editor which can listen to speech, translate it to Python code, and then run the code in a console. The platform is complete with an academy to teach blind students how to code, with lessons in variable types, for loops, if loops, functions, etc.
We used natural language processing to:
Allow the visually impaired to code in python by simply speaking
Provide a handful of python tutorials with voice and speech recognition features to effectively teach coding to people with visual impairments
Create an online platform for the visually impaired to learn
How we built it
We used:
Flask
HTML, CSS, and JS
Python
Natural Language Processing
Google Cloud Speech API
Challenges we ran into
We at first parsed the code in Python. However, when connecting it to the JS, it was incredibly laggy and didn't update in real time. Therefore, we had to translate all the Python code into JS which was tedious. In addition, SpeechRecognition only worked on one teammate's computer and not the other, which caused a lot of debugging to occur.
Accomplishments that we're proud of
We're really proud that our product is actually working for others to use. Not only did we complete a text editor, but we also got the academy working, which was great.
What we learned
We learnt how to use speech recognition and execute the code in string form. One of our teammates learned how to deploy code to Heroku and link it to a domain. We also learned more about linking JS with Python, especially for real-time work.
What's next for Eye Can Code
We want to make more aspects of our website audio to further help make it accessible for the blind. Afterwards, we hope to have the platform available for all to use.
Built With
css3
flask
google-cloud
google-web-speech-api
html5
javascript
natural-language-processing
python
Try it out
github.com
eyecancode.online | Eye Can Code | An online platform built with a speech-to-text python code editor for the visually impaired to learn coding | ['Shreya C', 'Veer Gadodia'] | ['The Wolfram Award', '1st Place Award', 'Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['css3', 'flask', 'google-cloud', 'google-web-speech-api', 'html5', 'javascript', 'natural-language-processing', 'python'] | 13 |
10,041 | https://devpost.com/software/food-bank-ai | process
Food-Bank-AI
a more efficient way to deal with the lessening food supply in food banks due to COVID-19 using AI (a project for GeomsHacks)
Problem
Due to the mass demand for food due to the lockdown and COVID-19, a lot of food shelters have been running out of food.
Solution
Rather than trying to convince a lot of people to donate which never really works, we can create a more efficient way to manage food in the food banks so that we don’t run out as quick
What it does
The website is to be used by the government and food bank chains to see the amount of food in each bank, gather inventory, see how food should be transported on trucks, and the AI handles all of the code concerning to which food shelters food should be sent, how buses should be packed and their routes, while taking into account the needs of the clients
The app is to be used by homeless people or anyone else who needs food from food banks to select a well balanced meal from what is in the closest bank as well as track whether they’re getting the proper amount of calories and nutrients or not.
# How it works
Website made with HTML, JS, CSS, Node.js, and Socket.io, and uses Paccurate API to find percentage of space used by food shelters, how food should fit in the trucks, and which food shelters the food should be sent to
App made with QT, C++ and gets client info and suggestions and sends requests to server
AI Written in python and figures out which food shelters food should be transported to based on distance to near homeless shelters and how filled up they are, routes for buses, and much more
# Languages, Libraries and APIs used
Python
JavaScript
C++
HTML
CSS
Node.js
Socket.io
Flask.py
QT
Paccurate API
Built With
c++
css3
express.js
firebase
flask.py
html5
javascript
node.js
python
qt
socket.io
Try it out
github.com | Food Bank AI | An efficient solution to the lessening supply of food in food banks due to COVID-19 using AI | ['Surya Jasper', 'Shlok Shah'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Paccurate API project 3rd place'] | ['c++', 'css3', 'express.js', 'firebase', 'flask.py', 'html5', 'javascript', 'node.js', 'python', 'qt', 'socket.io'] | 14 |
10,041 | https://devpost.com/software/friendly-reminder-i12fd7 | Inspiration
The lack of social interaction during the COVID-19 pandemic.
What it does
Connects to a user's contacts and sends daily reminders to text a "person of the day". Provides ideas for subject topics and has shortcuts to calling and texting those contacts.
How we built it
We built a PWA which uses cached databases and notifications from firebase.
Challenges we ran into
This was our first hackathon, and while we thought this idea would be fairly easy to implement, it was anything but. Indexed DB was based on asynchronous functions which was something we had never seen before, leading to many conflicts with ordering.
PWA's did not support two features that were necessary for this project - sharing icons over the contact picker api and sending scheduled notifications. Both of these features are in development but not accessible for the public.
Finally, the contact picker API, one of the hearts of our project, only worked on mobile AND over HTTPS. Due to this, we weren't able to easily debug using the console, and every code change we wanted to see had to be pushed to Github, which significantly slowed down progress.
Accomplishments that we're proud of
Getting an actual functional product.
What we learned
We learned how to follow and implement apis, debug various problems, and come up with ingenious solutions for technological problems.
What's next for Friendly Reminder
Once icon support and scheduled notifications are released to the general public, we will implement these features. We are planning to add more statistics features in the future, and make the UI more intuitive.
Warning: Works only on mobile
Built With
contactpicker
css
firebase
html
indexeddb
javascript
Try it out
friendlyreminders.github.io | Friendly Reminders | Stay social. Get reminded every day to talk to your friends. | ['Wyatt Cowley', 'Sonav A'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['contactpicker', 'css', 'firebase', 'html', 'indexeddb', 'javascript'] | 15 |
10,041 | https://devpost.com/software/covid-aid-acp850 | Landing page
Default donation quantity
Modified donation quantity
Pun
every project needs at least one
Compacctly pacc your donations using Paccurate
Inspiration
With the recent surge in donations related to COVID, there is a stronger case to make sure our donations are delivered as effectively as possible. Even in the industry, packaging products have inefficiencies. With these inefficiencies come environmental concerns regarding the excessive use of packing material in today’s modern and globalized world.
What it does
Compacctly provides users with efficient methods for packing their donations. When the user first logs into the website, they are greeted with a recommended package for donation. One the left, the user is provided with options to modify the quantity of commonly donated items such as masks, canned food, and hand sanitizer. Below the options, we display the total cost of donation items, shipping and boxes, and overall cost. On the right, the Paccurate API provides an image showing the user how to most efficiently pack their donations. By using Compacctly, we allow donators to use their funds on actual donations rather than packaging and shipping.
How we built it
We designed the frontend using ReactJS, a JavaScript framework, while our backend was handled by the Paccurate API.
We used ReactJS since our team wanted to become familiar with the framework and React had states. We built our landing page using Bootstrap. Using Axios, we were able to make POST requests to the Paccurate API and store the SVGs, box names, and total cost variables it returned.
The Paccurate API calculates the best method for packing a box. In our case, we used dimensions from USPS flat rate boxes and imported their rate table to find the exact cost of the boxes and shipping.
Challenges we ran into
Bootstrap
Different units inside Paccurate API (rateTable and price)
None of us knew any (pretty) CSS so it was a real pain to get our GUI not ugly
Accomplishments that we're proud of
Updating the image whenever data is changed
Display cost of all items
What we learned
How to use an API, specifically making POST requests
Learned to use ReactJS
Material design and Bootstrap in React
Built With
axios
bootstrap
material-ui
paccurate
react
Try it out
github.com
danielzting.github.io | Compacctly | Quickly pack your donations | ['Jeongwoo Choi', 'Anay Gupta', 'Daniel Ting'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Paccurate API project 2nd place'] | ['axios', 'bootstrap', 'material-ui', 'paccurate', 'react'] | 16 |
10,041 | https://devpost.com/software/protracker | Map Screen
Login Screen
Register Screen
Inspiration
During these past few months, the Black Lives Matter movement was sparked when the death of many African American citizens under police brutality was brought to light. This movement inspired many people to go to the streets and protest for their rights. However, my team and I realized that the people protesting are risking their lives due to the still ongoing CoronaVirus. Thus, our project tries to target the problem that CoronaVirus has brought upon this movement.
What it does
I realized that in protests if too many people attended it, some protesters will turn to rioting and looting nearby stores. This is a result of mob mentality, where if a group of people do something then more and more people will follow in pursuit. Moreover, the more people who attend, the higher chance that they will pass the ongoing virus to each other. Hence, my team and I decided to create a website where people can post protests and then regulate the amount of people that go to it. People who post a protest can set a maximum amount of people and if the certain cap is reached, no one else will be able to see the protest or sign up for it, allowing the app to somewhat regulate the amount of people who see the information. By this mitigation, less people will show up to protests causing less riots and a safer environment for them to protest in. Having more frequent but smaller protests will have the same impact as few bigger protests but the smaller protests will also create a safer environment for the protesters.
How we built it
I built this web app using the LAMP stack, which is essentially running an apache server, having a mysql backend, php server side code, which are all run on linux. We also used leaflet and openstreetmaps for the map and geocoding. By incorporating php superglobals, we can create login and registration for users. For web design, we used HTML and CSS as the main base of our web dom.
Challenges I ran into
There were a couple of challenges that we ran into while creating the product. One problem that we had faced was that the Google Maps API wasn’t allowing use to create multiple markers in different locations. To solve this issue, we decided to change from Google Maps API to Leaflet. This was a good choice because Leaflet was easy to interact with and looks very professional. Other challenges we had was just starting the server and having everything fit together with it. We did not have as much experience with creating a LAMP stack or creating mysql backend but through this project, we were able to learn so much about how a website works.
Accomplishments that I'm proud of
The most important accomplishment that we’re proud of is that we were just beginners and we were able to create a nice organized website. We went out of our comfort zone and used tools that greatly impact us. We started with very little experience, but were able to grow and develop the website. We also were proud that we built a web application that can be used realistically in the world right now and alleviate societal issues.
What I learned
We learned how to use advanced features in PHP, HTML, and CSS, such as creating user registration and login or even just using mysql backend and its database. We were also able to learn how to use the Leaflet map and incorporate geocoding.
What's next for ProTracker
This project was started when we were pure beginners at LAMP stack development. However, after grasping a good feel about this project, we now can improve it through many different ways. For instance, we are thinking of creating a verification process which can then allow less spam and have more legit results for protests. We hope ProTracker can be later developed into a more full-fledged idea and used to improve people’s lives.
Built With
css
html5
javascript
php
Try it out
github.com | ProTracker | Protesting safely and efficiently! | ['Aaron .', 'Shanmuka Sadhu'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['css', 'html5', 'javascript', 'php'] | 17 |
10,041 | https://devpost.com/software/titeknit-covid-19-aid | Inspiration
With the current crisis, millions of Americans have stampeded stores and stored 10s and even 100s of food items and supplies in their homes. This will lead to exorbitant amounts of food waste.
On the other hand, many families and seniors are unable to travel to get necessary supplies and groceries from the store because they do not have personal vehicles and there is lack of public transportation. Grocery stores are struggling to refill their shelves, and this families and seniors are not receiving the necessary food and supplies they need.
60% of food thrown out by Americans is still edible (National Defense Resource Council )
Americans waste 150,000 tons of food every day, and this number is expected to double after COVID19.
According to the EPA, wasted food is the single biggest contributor to American landfills, where it is a major source of methane, a greenhouse gas more potent than carbon dioxide.
What it does
Titeknit is an IOS App which allows users to help others in their neighborhood by selling excess food items and supplies. Those in need can receive necessary items by creating a wishlist which notifies them of available listings and delivers those that match their needs.
Challenges we ran into
Throughout this process, we did a lot of research and refining. Halfway through making the app, we realized that volunteers will not be able to travel too far to deliver the items, so we implemented the ZipCode Api to locate listings within the radius they specified they can pickup or deliver. In addition, we ran into a multitude of errors due to Xcodes recent updates. When testing our app, it would not sideload because of the recent XCode update. Eventually, we got it running and are proud to have a delivered, working prototype.
We learned
We learned how to utilize Firebase Database, Stripe Payment API, Zipcode Api, Apple’s CLLocation Library, Swift’s UI Tools, protocol & delegates, push notifications, and node.js backend.
What's next for TiteKnit
Next, we will advance our volunteer page by including tasks to complete in order to deliver the items to and from the homes that need the items. Thank you!
Don’t toss excess items. Help others out. Save the environment, one listing at a time.
Built With
cocoapods
coreml
firebase
ios
stripe
swift
xcode
zipcode-api
Try it out
docs.google.com | TiteKnit- Covid-19 Aid | Don’t toss excess items. Help others out. Save the environment, one listing at a time. | ['Siddhan Shah', 'Hiya Shah'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['cocoapods', 'coreml', 'firebase', 'ios', 'stripe', 'swift', 'xcode', 'zipcode-api'] | 18 |
10,041 | https://devpost.com/software/covidualize | Demonstration of information table
Demonstration of information table
Demonstration of information table
Demonstration of information table
Demonstration of information table
Demonstration of information table
Demonstration of Interactive 3D Globe
Demonstration of Interactive 3D Globe
Demonstration of Interactive 3D Globe
Inspiration
After witnessing a hoard of CoVid-19 information and statistics all over the Internet and news sources alike, we wished to keep all information in a localized and easy-to-access data table with access to all the publicly available statistics per country. Additionally, apart from making a sophisticated data table, we wanted something visual to help our audience comprehend the sheer magnitude of the pandemic. We’ve really mainly paid attention to numbers instead of visuals, which is why we had the inspiration to have an interactive simulation of the recovered cases and total deaths per country. We believe our project will help provide perspective to those truly unsure and nervous about the virus, and we wish to continue adding features and updated graphics to give the best user experience we can.
What it does
CoVidualize provides two key items: a public data table with CoVid-19 statistics for each country, and an interactive 3D globe displaying the scaled number of total deaths (in red), and total recovered (in green). The data table and statistics are updated daily, as well as the visual bars and globe we built. For our first page, we display the global total cases, deaths, recovered, and the daily cases, deaths, and recovered, which updates every day. Additionally, you can enter the name or country code of any country and it will display the information specific to it. Scroll down, and we display the 3D globe and red and green bars in each country. The red bars represent the total deaths, and the green bars represent the total recovered. We scaled the statistics displayed on the globe with an algorithm we developed so that the percentiles remain constant, therefore it becomes easier to discern the proportionality between recovered and deaths per country.
How we built it
We mainly used JavaScript, HTML, and CSS to build CoVidualize. We used the
https://covid19api.com/
and
https://www.trackcorona.live/api/countries
to obtain our information and data points that we then displayed in our table and on the globe. We used three.js libraries to build the interactive 3D globe. To go into more detail, we used the above APIs to gain access to the latitude and longitude per country, and then converted those into a (x,y,z) coordinate pair via spherical coordinates. We were able to build a cube at that point with a given height using our scaling algorithm so the proportionality would remain accurate using the deaths and recovered data points (entered into an array).
Challenges we ran into
About halfway through the hackathon, we were completely stumped on why we weren’t able to plot the data on our globe, and we spent hours trying every possible means of tutorials on youtube for three.js, and any attempt to get the cubes/data plotted in the proper country. The conversions to spherical coordinates were not difficult, but the application, especially concerning the data scraping from the APIs, was the primary challenge we came across. Additionally, we had many issues arise with three.js as both of us on the team were completely unfamiliar with the framework, and the OrbitControls took us many code attempts to implement.
Accomplishments that we're proud of
We’re extremely proud of ourselves for learning as much about three.js as we possibly could within this span of time, and learning the specific errors that come with not having a proper understanding of three.js, as the documentation isn’t very straightforward. Instead of simply copy-pasting code from the manual documentation, we had to understand to the best of our abilities the framework and how it processes adding geometries and textures.
What's next for CoVidualize
The future for CoVidualize is very bright, in our opinion, especially by taking the proper time to make the simulation possibly more interactive and well-built, as we had no prior experience with three.js. Additionally, my partner and I were discussing methods to bring more attention to our project, possibly by adding information panels on the globe, where if a user clicked on a specific red/green bar, there would be a pop-up with the given statistics for that country. Our primary focus is on providing appealing visuals for the users, and we feel that with more knowledge of three.js we can make our product more professional and exciting to work with. We have already begun working on a mobile infrastructure in the form of an app, so our users will have a built-in interaction with the globe and data table. We have been contemplating branching out past CoVid-19 applications, especially with other medical statistics useful for our customers.
Built With
api
css3
html5
javascript
three.js
Try it out
github.com
sidnath21.github.io | CoVidualize | CoVidualize provides both a sophisticated data table and an interactive 3D earth simulation displaying the scaled number of deaths and recovered citizens per country. | ['Ritvik Pandey', 'Siddharth Nath'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['api', 'css3', 'html5', 'javascript', 'three.js'] | 19 |
10,041 | https://devpost.com/software/ppebay | webpage banner
inspiration
Our inspiration behind the website mainly came from stopping the spread of COVID-19. The ongoing count of deaths from COVID has completely shocked us, and the amount of people still not wearing PPE worries us. It can be hard to get affordable PPE, and our site makes sure the PPE is being sold at a good price as we have a recommended price calculator. Another reason we made this website is for people to sell custom masks. A couple of my friends make custom masks, and it is hard for them to get their merchandise out in the world and for them to make a name for themselves. Our website is perfect for people who want to sell their products.
learning process
We learned a lot about using html, css, php and a lot of technologies that we hadn't interacted with before. We learned how to make a full webpage in html and css, we learned how to use variables and functions inside of html with php, and we learned how to interact with a mysql server, which we used to store the posts. We also learned about the ins and outs of working with servers, because the easiest way for us to test our website was to use a local apache server to host the site locally, and then we have the mysql server which we interact with through php.
build process / challenges
We started out with a simple website, which displayed 6 divs on a home page, and then had some text inside of those div panels. We then needed to use an html form to take user input. When we first started out, we just ran headfirst into the problem of starting to write the html, what we didn't realize is that html form data needs to be stored somewhere. we assumed that there was a built in method to save that data. However, after doing more research, we found that the best solution that suited our problem statement was to set up a mysql database. We set up the mysql database and then realized that the best way to interact with it would be a php script, then we had to set up a local https (apache) server that could run the php scripts in our browsers. This was another source of error that sucked up time. We made this project using Visual Studio Code, and the live server extension there is built for hosting web pages, however, it is only meant for running static pages, not dynamic pages like the ones we were trying to run. So we spent a good hour or two on setting up the apache server and making it able to run our website locally. We wrote functions to take user input and place it into a mysql table, and functions to download uploaded images to a folder for later use. When it came time to use the data from the mysql server, we hit our second roadblock, which was drawing input from the server and outputting it into text. It required multiple php functions which selected a specific index from the table and then outputted it. We also made a php price calculator using the average sale value of a specific object that the person is selling. The delete page was the final hurdle, and it was difficult because when a mysql server deletes rows, it doesn't reset their auto-incremented id, so we had to write while loops for each call, which selected the next available index to continually have the first panel contain images. The second half of day 2 was all taken up in making the website look appealing with css styling, which was completely new to both of us. We think that this project was a really good introduction into a lot of different utilities, with us having to learn fundamentals of web design, servers and databases.
Built With
apache
css
html
mysql
php
Try it out
github.com | PPEbay | a website allowing users to sell leftover ppe or sell homemade ppe | ['Rishi Gupta', 'Shafin Haque'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['apache', 'css', 'html', 'mysql', 'php'] | 20 |
10,041 | https://devpost.com/software/covidscreen | Home Screen, where the user clicks to begin his quick screening.
First question of the questionnaire, begins with a bullet point list of severe symptoms.
Results, one of the multiple diagnoses that a user can receive based on their inputs.
Inspiration
With the second wave of COVID-19 surging globally, there's a shortage of applications that combines the anonymous simplicity of a quick questionnaire with a powerful diagnosis. CovidScreen does exactly that.
What it does
CovidScreen asks a series of questions and symptom lists to check off. In just 6 series of in-depth selections, the application gives the user an ensured decision regarding their next steps in handling their potential case of COVID-19. The appealing User Interface makes it easy for anyone around the world to take a quick and effective diagnosis that can be completed in one minute. It first prompts the user to "Start Screening" with a button in the middle of the page. Once it is clicked, the next component will appear. It asks the user to select their age -- whether they are 18 years old or younger, 18-64 years old, or 65+ years old. If they are 18 or younger, it displays that the tool is only designed for people that are older, and directs them to learn more at cdc.gov. Then, it asks the user for present symptoms, past conditions, exposure, and travel to present their screening result at the end.
How I built it
I built CovidScreen using ReactJS, HTML, CSS, and other packages for simplistic user experience. With a series of React Hooks to monitor the user's clicks and selections, I was able to create an interactive environment flowed with the patient's progress on the webpage. The forms, radio buttons, and checklists were used throughout CovidScreen to keep track of their choices after they click "submit." At the end of the questionnaire, they are given a diagnosis out of a pool of multiple results, based on their number of symptoms, exposure to other COVID-19 stricken people, whether they traveled internationally, and more. With a variety of conditional operators, the case is made confidently.
Challenges I ran into
I found it a bit tough to keep track of all the React Hooks that monitored the user's progress on the webpage. I had 10 Hooks that kept track of the user's checks, clicks, and submissions. However, I learned to effectively organize the components in order to give the patient a direct answer from the states of the buttons and checklists.
Accomplishments that I'm proud of
I'm proud of configuring my first web application with React. Although I struggled initially with setting up the environment and IDE, I was able to design a user-oriented product that can be implemented virtually anywhere.
What I learned
I learned how to make a full-stack application and utilize React. I also learned to organize my code effectively so that I can see where any potential errors may lie.
What's next for CovidScreen
In the future, I plan for CovidScreen to be fitted with a Google Maps API that can read in the user's current location to show where they should go and avoid in the near future. Whether that be in the Hospital, Emergency Room, or at home, the results screen should provide the quickest route to the location that fits their diagnosis the best.
Built With
css
html
javascript
material-ui
react
Try it out
github.com | CovidScreen | COVID-19 Diagnosis made easy, quick, and guaranteed. | ['Danny Zhang'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['css', 'html', 'javascript', 'material-ui', 'react'] | 21 |
10,041 | https://devpost.com/software/grocer-e | Inspiration
My grandmother in Germany, who needs to send letters to nearby neighbors to ensure food is brought to her house.
What it does
This is an application that would be used to connect people in a neighborhood, to easily organize the buying of food for people who may not be able to leave their houses.
How we built it
We built this entirely with Java, in eclipse.
Challenges I ran into
We did not know how to host a server or put this application online, so it cannot currently connect multiple users.
Accomplishments that we are proud of
48 hours ago none of us knew anything more than java, but with a lot of effort and many youtube videos we were able to create large and compelx GUIs that simulate an actual application.
What we learned
Tons of stuff about Java Swing, GUIs, along with much about APIs from the tutorials.
What's next for Grocer-E
With this client done, we could use an online database to save the information we implement in the app, so that it does not restart every time you run. We can also enable multiple people to access the app from the internet, which would basically fulfill the projects purpose. With a more in-depth Payment tab, we may be able to put this to use at some point.
Built With
java
Try it out
github.com | Grocer-E | This is the beginning of an application that connects neighbors and allows them to coordinate food purchasing efforts. | ['Tim Kaltenbach'] | [] | ['java'] | 22 |
10,041 | https://devpost.com/software/tic-tac-toe-variations | 3 by3 tic tac toe game
.
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Tic Tac Toe Variations
Built With
flask
Try it out
github.com | Tic Tac Toe Variations | . | [] | [] | ['flask'] | 23 |
10,041 | https://devpost.com/software/covidsource-geo5sy | Browse news articles right from the application
Store articles for later
Open articles right from the application
Direct your research with tasks
Overall Idea/Motivation for the Project
In our current world, finding accurate and unbiased information is becoming a pressing issue. It's often difficult to check the validity of information. We decided we wanted to build a tool to help people research, verify, and sort news articles. Over time, this tool reinforces positive research habits and teaches users to be informed, but not anxious, about the news.
What it does
Our project allows people to search for news articles. Articles from sources within our database will be given a credibility and bias rating based on a third party website. The application also allows you to set and mark goals (such as # of reputable news sources found) and save articles into a list for reference. Users are encouraged to complete their daily goals and then stop, thus reinforcing a healthy cycle of limited yet meaningful media consumption.
How the Project Was Built, and the Tools We Used
The project runs on java, and searches google for relevant results and displays news articles in a navigable format. Any article authors/hosts that match news organizations in our databased are marked with a corresponding credibility/bias rating, which is displayed on the user interface.
Jsoup was used to take html from google search pages, and each page was filtered to find results. News pages are prioritized, but other links are also added to the search.
The app loads 30 responses per search, allowing the user to sort through and identify articles they might be interested in. They choose to open articles in their browser by clicking on them, or sort them into a list of saved articles. They can also customize and remove/finish a list of goals on the top right of the UI.
Although many sources do not have a rating, we hope that we can pull more data in usable formats from 3rd party media rating websites in order to better provide info about online web sources.
Built With
java
Try it out
github.com | COVIDsource | Promote good research habits, combat misinformation | ['Benjamin Gao', 'Patricia Huang', 'Hanzen Shou'] | [] | ['java'] | 24 |
10,041 | https://devpost.com/software/geomhacks-dlv3qk | Page 1: Intro page!
Page 2: Information entering page!
Page 3: Results page!
GroSpace is a program that facilitates the process of installing a vertical garden in any space. The user provides the dimensions of their space and GroSpace most efficiently calculates how many planting modules fit in!
Vertical Farming is an indoor farming technique that utilizes stacked vertical shelving units and aeroponics (nutrients delivered to plants via mist), to maximize yield. Plants are efficiently grown without dirt on recycled cloth where the leaves are separated from the roots which dangle below in the mist. This technique allows for maximum nutrient absorption and oxygenation. Efficient LEDs that only provide color spectrums needed for the plants to grow are used to save energy. Temperature and humidity inside facilities is regulated and adapts to plant growth data. Because of this, crops can be grown year round, unrestricted by seasonal weather.
70% of freshwater usage and contamination is from agriculture.
1/3rd of arable land on Earth has been degraded in the last 40 years.
Vertical farming requires less water and land.
Land grown crops need to be transported, which forces early picking and degrades the quality of the crop. Transport also contributes to greenhouse gas emissions.
No pesticides or herbicides are required
By 2050, world population will be 10 million, increasing the demand for food, while decreasing amount available to farm with the expansion of cities.
Vertical farms can be built in repurposed buildings, such as former steel mills and packaging facilities instead of being torn down.
A Quote from a CNBC Article:
“In light of the current Covid-19 pandemic, there is a clear need to understand how we shorten supply chains and improve national resilience in our food supply.”
Localizing food production decreases the strain on the food supply chain, which is better for the environment and guarantees the availability on food. These gardens also give communities the opportunity to interact with the food growing process, making them appreciate their food more and reconnect with nature.
Built With
css3
html5
java
javascript
paccurate
springboot
Try it out
github.com
docs.google.com
drive.google.com | GroSpace | GroSpace Facilitates the Vertical Garden Installation Process | ['Luca M', 'Raeed Azom'] | [] | ['css3', 'html5', 'java', 'javascript', 'paccurate', 'springboot'] | 25 |
10,041 | https://devpost.com/software/store-capacity-finder-xyw9an | Inspiration
What it does
Many stores have a max capacitance due to Covid-19, this app will help prevent people from waiting outside.
It's a way to search for stores and see the amount of people/rate of how many people are entering and exiting. You can then plan your trip to a store accordingly.
How I built it
I used a kivy tutorial on youtube to create the mobile gui in python, and repurposed it for my app. I also wrote a script to create fake data to emulate store owners' data.
Challenges I ran into
Teammates ditching me :(
Accomplishments that I'm proud of
Updating the app every time the user clicks the marker/moves.
What I learned
Databases are much more useful than arrays.
What's next for Store Capacity Finder
Have a suggested time to come/change color of markers based on how many people are present.
Built With
csv
here-geocoder
kivy
kivymd
python
sqlite
Try it out
github.com | Store Capacity Finder | A way for people to social distance while shopping at their favorite stores. | ['manas srivastava'] | [] | ['csv', 'here-geocoder', 'kivy', 'kivymd', 'python', 'sqlite'] | 26 |
10,041 | https://devpost.com/software/voice-automation | Inspiration
The amount of cases and deaths from this deadly virus is raising exponentially, I wanted to control the spreading of disease to remove the burden on doctors and researchers until they find a vaccine.
What it does
This program allows user to control their computer/machines using voice commands, it could be implemented on various public computers, cyber cafe, vending machines, ticket counters and other similar devices.
How I built it
I used Python 3.8.2 and MySQL 8.0 to create the program.
Challenges I ran into
Main challenge was to integrate voice commands to the commands that computer understand, I did a lot of research until I develop the code. But soon came another problem, the program was converting voice of integers to spellings as text so I had to make a text to integer program. Another major problem was providing confirmation as speech without using much storage, which I accomplished using a less known python library. These were some of the major challenges I ran into while making this project.
Accomplishments that I'm proud of
User can control the system through his/her voice, the program will recommend the commands to user on basis of his preferences. Users having problem in their input devices like keyboard, mouse and are not able to get the new ones due to COVID lockdown/quarantine can use this program as aid. Major boon for handicapped people.
And one of the major accomplishment is that it uses less storage.
What I learned
Patience is the Key to success.
What's next for Voice-Automation
Integrating it with different platforms.
Built With
python
Try it out
github.com | Voice Automation | To avoid the spread of COVID-19 through indirect touch of infected person with public computerized devices;also helps those users who are'nt able to get their mouse, keyboard repaired due to lockdown. | [] | [] | ['python'] | 27 |
10,041 | https://devpost.com/software/geomhacks | Planavator Logo
Inspiration
During the ongoing pandemic, stores have often seen large lines of customers. This poses a risk to the health of workers and customers alike. As such, we sought a solution that would allow people to go wherever they need to and also ensure their safety.
What it does
Planavator is a web-application designed to organize your day to day schedules while maintaining social distancing protocols. Consumers can input what places they need to go for the day and Planavator will output a schedule, that ensures the consumer will get to where they wish to be, but in a way that does no jeopardize their safety.
How I built it
Taking a look into the backend written in java, we take input from the website and using our main method, each “event” will be made into an object using the “event” class with 6 class variables, name, location, length, priority, and the start and end of the peak times that we want to avoid. The peak times of each event are found by using a scraping tool on google map. In the main class, we run a greedy algorithm, first sorting the event objects by their priority level. This allows us to focus on the most important events first in order to ensure them a spot in the schedule. Given a block of time for which the user is free, a set is created and filled with integer values of each whole hour in that time frame. The algorithm then runs through every event starting from the highest priority and tries to find a time block of the length of the event, and then removes those hours from the set. From this approach, it is possible that some events won’t have time in the schedule, which the algorithm will decide that it is not safe to complete today. This information will then be linked to the front end (our website). From the front end, we created a website. We used a Wix platform and altered the HTML code wherever we saw fit. There was an emphasis on using a clean modern design to create visual appeal that would be crucial for attracting clients.
Challenges I ran into
A large challenge our team faced was extracting the Google Places data that showed the "Popular Times" of each location. It was very difficult to program a scrapping tool from scratch especially given the short time frame of this project. Instead of building this tool ourselves, we found an open source Google Maps scrapping program that extracted the most popular times from a location on Google Maps. However, the output contained much more information than we needed. As well, the scrapping tool was written in Java while our algorithm was written in Python. To ameliorate this problem, we created a Python program that filtered the output and recorded the data onto a text file, which would be readable by our Java algorithm. Unfortunately, we ran out of time and were not able to fully integrate these two programs. The next stage in the development of Planavator would definitely be to read the Google Maps data into the algorithm.
Accomplishments that I'm proud of
Our team created an efficient greedy algorithm to build the most suitable schedule for clients. From the front end, clients were asked to input the priority of each event that day. The schedule was subsequently created around the tasks with the higher priorities; the algorithm would choose the time slot with the fewest customers for the location of the highest priority event. The event with second highest priority would be given the time slot with the fewest customer for that location that also does not conflict with the first event. This would continue until all events were added to the schedule. Our team was extremely proud of this solution because by prioritizing important events, we ensured that users can go to them by selecting the safest times. Users can ultimately decide not to attend lower priority events if they believe too many people are at that location during that timeslot however, the low priority nature means user's are not greatly impacted
What I learned
Through this Hackathon experience, we had the pleasure of learning HTML code. With each member of the team well-versed in different coding languages, we took this opportunity to learn HTML in which we were able to apply this knowledge to our website.
What's next for Planavator
The next step for Planavator is to integrate the Java application into the front end website. We also want to get a domain to host the website to allow individuals with busy lives to use our service to protect themselves during this challenging time.
Built With
google-maps
google-places
java
pip
python
wix
Try it out
github.com | Planavator | Planavator is a web app that combines user inputs and Google Maps data to create your daily schedule which includes public places you need to visit while maintaining social distancing protocols. | ['Grace Zhu'] | [] | ['google-maps', 'google-places', 'java', 'pip', 'python', 'wix'] | 28 |
10,041 | https://devpost.com/software/dis-covid | Login and Sign Up Page
Home page with a user's feed, containing inspiration from other users on the platform
Pop up modal example displaying an example post with tags
Another pop up modal example displaying an example post with tags
Functional search by tag feature
Create a post page where users enter a subject, message, up to 3 tags, and upload an image to accompany their post
User profile page displaying their account information and posts
Dis-COVID Logo
Inspiration
With COVID-19 forcing people to remain at home and social distance, boredom is affecting many individuals. Unfortunately, this is having a terrible impact on people’s mental health, with some mental health lines such as Alberta’s receiving 300% more calls each day. With mental health services struggling to keep up with the increased demand, many individuals are not getting the treatment they need.
To combat this issue, Dis-COVID was created to eliminate one of the causes of mental illness – boredom.
What it does
Dis-COVID provides users with a supportive community where they can discover new hobbies and pursue what they love. On the web application, users can search for a variety of hobbies (such as baking, coding, etc.) to discover the other ways that members of the Dis-COVID community have been spending their time. Using the accomplishments of others as inspiration, users can try new activities or continue to pursue their existing hobbies. Once users complete an activity, they can share their achievements to inspire more individuals! With so much to learn and do, users can easily overcome their boredom as they continue to respect social distancing guidelines.
How we built it
HTML5 and CSS3 were used to structure and style the web application. Javascript was used to integrate
Firebase
into the application. To create and manage user accounts, the authentication feature in Firebase was used.
Cloud Firestore
was used to store all information relating to the posts (titles, tags, image URLs, subjects, descriptions, etc.). We implemented
Cloud Storage
to store all uploaded images.
Challenges we ran into
As none of our group members had any experience using Firebase, it was very difficult to implement it into our project. To familiarize ourselves with Firebase, we invested around four hours on day one of the hackathon to understand how to use Firebase. During the learning process, we found
The Net Ninja
to be a very helpful resource to learn about user authentication and storage with Firebase.
Another challenge we faced was the implementation of Firebase authentication because the API was not working when we followed online sources. With self-experimentation, we found that separating signing in, logging off, and logging on into different Javascript files solved the problem.
One other difficult challenge we ran into was linking pictures stored in Cloud Storage to posts stored in Cloud Firestore so when a post is displayed, the correct picture is displayed as well. Geoffrey took on this challenge and discovered how to store the Firebase image URL of an image into a post document in Cloud Firestore, resolving the issue.
Accomplishments that we're proud of
We are proud that we created Dis-COVID in a short amount of time. Additionally, we are happy that we overcame all issues and implemented Firebase to combat deteriorating mental health in populations. Moreover, for many individuals on our team, this was their first time coding in Javascript, so we are proud to see that they quickly learned and applied the language to our project.
What we learned
This was the first time that all of us have integrated Firebase into a user-friendly platform. As a result, we learned a lot about the Firebase console, Firebase products such as Cloud Storage and Cloud Firestore, initializing firebase products in a project, and the associated API keys.
What's next for Dis-COVID
As of now, Dis-COVID is a web application that allows users to create accounts, view their account information and posts, share their achievements, and view others’ posts by searching for specific tags. In the future, we would like to enable users to edit their posts and accounts. We would also like to create a system for users to like posts and follow other users. Creating a voting system through likes will incentivize users to try more activities and following accounts will help users connect with their friends, reducing loneliness. Finally, we would like to bring Dis-COVID to iOS and Android.
Built With
css3
firebase
heroku
html5
javascript
Try it out
dis-covid.web.app
github.com | Dis-COVID | Discover new passions and make boredom dis-appear with Dis-COVID. | ['Dhruv Rawat', 'Alayna Nguyen', 'Geoffrey Wu', 'William Zhang'] | [] | ['css3', 'firebase', 'heroku', 'html5', 'javascript'] | 29 |
10,041 | https://devpost.com/software/covidmity-me8vur | Inspiration
Our team was inspired to create the Covidmity website after witnessing the strength in our own communities during the Covid-19 pandemic. We wanted to spread that solidarity to other communities through creating a website with simple tips and checklists to help adults and children make better choices during this troubled time.
What it does
The tip randomizer allows users to click a button for randomly generated tips(relating to Covid-19) for 4 different categories. They were “Helping Your Kids with Online Classes”, “Dealing with Teenagers' Concerns”, “Easing Your Child's Anxiety about Covid-19”, and “Self Care Tips.” With each randomly generated paragraph comes its partner image. The COVID Resource guide allows users to input the number of family members they have and accordingly be given the quantity needed for 3 necessities. Additionally, the web app sits on your desktop and be clicks at any time of the day to pull the best and most reliable news. After entering your personal info the app can either get you the best stocks of the day and the best coronavirus updates. It's simple UI and easy to use features are what makes it stand apart from the rest.
How we built it
The website aesthetic was built using HTML, CSS, and Javascript. The background images were from Videezy, a site that offers backgrounds that have the license of free to use. The logic behind the randomizer involved Javascript. For each of the 4 categories, we stored the tips into 4 variables, created 4 corresponding images that were also stored, and then put them into 2 separate lists. Using math. random we generated random selections and displayed them. For the resource guide, we designed the table and used Javascript to take the user input and translate it into a result on the table. The web app was built using Kivy, a python library for web app development after I laid out the framework for the app I used a separate function to hold the financial news and used a personal Robinhood account to get relevant information from the robin_stocks API. After this, the NewsPuller.py was created using the NewsAPI and then the parameters for the news were tweaked to get the best and most relevant news; we had to whittle down over 300k headlines. Eventually, the classes were put together and a Grid class for UI purposes contained all the relevant event triggers.
Challenges we ran into
Initially, we planned to have one randomizer button on the homepage, and when the user clicked on it, they would be directed to a page with the same title as the random button text. That was impossible to do at the time, so we changed the project to have a randomizer for each of the 4 categories. In addition, this was our first time using moving background images, so it was a struggle to get all the other elements to display in their proper places. For the web app, the hardest part was perfecting the UI, which is something we were very new too. Eventually, however, we were able to learn from the documentation.
Accomplishments that we're proud of
We are very proud of how the design turned out. The moving background images especially were the icing on the cake, as well as the consistent style between pages. We are also happy that the randomizer works perfectly!
The web app was something new for our team and we are happy we were able to complete it so well in such a short time frame.
What we learned
We learned through designing the website how to randomize items in Javascript as well as utilizing movable background images smoothly in HTML files. We also learned a lot about the Kivy python library for making web apps.
What's next for Covidmity
What’s next for the covidmity website is to include more information in the randomizer, and include a general login/signup. The site would also include a price/store database in the resource guide for the user to find desired products most efficiently and to frequently display products the user needs based on their profile. We also want to clean up the UI for the web app to make it more visually appealing.
Built With
html
javascript
kivy
newsapi
python
robin-stock
robin-stocks
spyder
Try it out
swethatandri.github.io | Covidmity | Here at Covidmity, we believe that a culmination of tips, tools, and resources are key to making it past this pandemic. At Covidmity, we build community. | ['Swetha Tandri', 'Adarsh Bulusu', 'Lavanya Neti'] | [] | ['html', 'javascript', 'kivy', 'newsapi', 'python', 'robin-stock', 'robin-stocks', 'spyder'] | 30 |
10,041 | https://devpost.com/software/hackathonproject-438xjh | COVIDResearcher
Our project was inspired by the fight to cure the worldwide pandemic that is COVID. It has affected, both directly and indirectly, billions of lives. As the most effective thing for fighting viruses is a vaccine, and the best way to get an effective vaccine is through research, our goal is to expedite the process by having important research tools in one place. We were able to build this by using the python language and some external libraries, namely Tkinter and chempy. As this was my (Dante) first hackathon, I learned what it was like working as a team to complete a goal, learning to split responsibilities, and how to create a project. Some challenges that I (Dante), faced were using the python language, as I had only learned how to code with java at first. Overall, however, this was an amazing experience, and I'm happy to say that I have completed a hackathon.
Built With
python
Try it out
github.com | COVID Researcher | All of the things your need to get started with your COVID research in one place | ['Avi Avinav'] | [] | ['python'] | 31 |
10,041 | https://devpost.com/software/essentialize | Inspiration
COVID-19 has increased the number of unemployed people. This deeply concerns the Essentialize team because we personally know many people who suffer from this issue. Our site is the ultimate resource for the unemployed.
What it does
Our site provides resources on the current job market created by covid-19. We provide links to many websites with valuable information about the current crisis. Our most powerful feature is job search. Many job finding websites exist already, so we decided to use a different strategy. Our application web scrapes popular websites searching for available jobs. It used the device location to filter for only nearby jobs.
How I built it
We used node.js and expressjs for the server and bootstrap 4 for the front end. We web scraped with request-promise and cheerio.
Challenges I ran into
None of us had experience with web scraping, so we had to learn all the basics very quickly. Even though this inconvenience was a slight setback, in the end we all learned something by building this website.
Accomplishments that I'm proud of
We are proud of the style and vibe of the front end of the website and very proud of the functionality. We are also very proud of accomplishing overcoming the things that we did not know. We found different, better, and more efficient ways to do things. In the end, we are most proud of making a finished product that can help real people in the world.
What I learned
We learned how to web scrape and we learned a lot of html tricks like gradients. Knowing these things can help us in the future to create more websites and help more people.
What's next for Essentialize
Our next step would be adding more educational resources for people to access. We could also scrape from more websites, even though we already use the most popular ones.
Built With
bootstrap
cheerio
css3
express.js
html5
javascript
jquery
node.js
request-promise
Try it out
github.com | Essentialize | Get an essential job now. | ['Daniel Noguera', 'Ellie Ertl', 'IsabelNoguera9 Noguera', 'Tyler Vlietstra'] | [] | ['bootstrap', 'cheerio', 'css3', 'express.js', 'html5', 'javascript', 'jquery', 'node.js', 'request-promise'] | 32 |
10,041 | https://devpost.com/software/grocery-store-automator-ljezip | Inspiration-
Our idea for this project came through personal experiences. We know that during these times our parents have spent countless hours standing in lines, just to be denied access into the store. We checked regularly for times slots, but there were rarely any times available. Our code was aimed to help people know when they could get inside of a store. This lead us to create the Grocery Store Automater (GSA). First, the program opens Google Chrome and goes to the Walmart login. Next, it asks the user how many items they want, and what they want. We previously created an account, and it logins in with the username and password.
How we built it-
To build our code, we first made a plan. We decided on our idea and wrote our Pseudocode. Then we started writing our code. We did each part at a time to make sure our code worked how we wanted it too. Then we tested our code multiple times. Lastly, we discussed any ideas we would want to add to our code to make it better. We also created an email, so our code could log in to Walmart. Once we finished we double-checked our code and made sure everything was running smoothly.
Challenges we ran into.
We also faced some challenges while writing our code. For example, we had to read the documentation a lot. This allowed us to learn more about how selenium works. We also had trouble finding the file path for our code. These problems sometimes stopped our code from running smoothly, but we continued to try and fix the problem.
Accomplishments that we're proud of
We are proud of the code that we made, as a whole, and how it can be implemented by many people who wish to shop online. There were some struggles along the way that we had to go through in order to finish the project. We are proud of our 'try again' morality and the fact that we had kept troubleshooting in order to fix the problem. We are especially proud that this is that first hackathon that we have entered in, and take much pride in the complexity of our work
What we learned
We learned a lot while making this code. We discovered many new classes and functions that we could use in our code. For example, a function we learned was "send_keys." This function helped the computer "type". This function was very useful in our code. This is also our first hackathon. We learned a lot about how a hackathon works, and the process of it. We learned a lot in this hackathon and we believe our code will help many people.
What's next for Grocery Store Automator
We have some ideas to expand the Grocery Store Automater. We thought about putting some extra security features, to help the user with porch pirates and others who are looking to steal the packages that originally belong to the user. We can also expand the usage of the program, by not only adding the products to cart, but also directly buy them.
Built With
chrome
python
selenium
Try it out
github.com | Grocery Store Automator | A quick way to get groceries while staying safe. In this pandemic, people are afraid of getting sick while grocery shopping. Our product will ensure that you stay healthy while buying groceries. | ['Arya Kunisetty', 'Sriya Neti', 'Sriram Natarajan', 'Saahith Veeramaneni'] | [] | ['chrome', 'python', 'selenium'] | 33 |
10,041 | https://devpost.com/software/kitler | These were the results of some market research that we conducted.
Inspiration
Millions of Americans are obese and with the rate of obesity only growing something had to be done. Our group did some research and we realized that the main challenge people faced when working out was the
lack of motivation
. We had our core problem and as we conducted more and more research on fitness and the lack of exercise we were able to come up with Kilter which targets obesity at its root to create a more motivating and rewarding workout experience.
What it does
Exercising can be a hassle; not only is it impersonal, but it is often inconvenient, and therefore, we often fail to see the results we desire. Let us introduce you to our app
Kilter
, a first-of-its-kind fitness app which combines the rapidly expanding market trends of both personal training and a cashback reward system, all at a lower price than our competition. The large majority of health app users are not willing to pay for the app, so let's start off with the complementary aspect of our service. The free version of our app provides users with guided exercise videos in areas such as cardio, weightlifting, and calisthenics. We will also run ads during the video to profit. The trainer of the video will recommend that the user records a 1 minute video of them performing the exercise, and the user can choose to submit this video to the Kilter team to be validated. The user will then receive in-app currency to use in the app’s shop. As one of our potential customers stated in an interview,
“Money is a big incentive”
for people to complete fitness challenges. Furthermore, companies advertising in the Shop offer another viable revenue stream. And similar to the app Sweatcoin’s system, users can pay to submit more videos per day. Of course, our video submissions will comply with HIPAA in order to maintain the trust of users, sponsors, or companies that underwrite our solution. However, if a user wants a more personal experience, then our app also provides a paid service. For a price lower than gyms and our competitors, the paid experience of our app is a subscription based service where users can buy virtual training sessions with certified personal trainers. While other companies, such as Peloton or Skimble, offer online personal training, neither gives the user 1-on-1 video calling sessions, which Kilter would offer in order to add another revenue stream.
How we built it
We used
HTML and CSS
to build the webpage. Our backend developer was not present so we were unable to make the backend of the app.
Challenges we ran into
We were missing a key team member which really put a wrench in out plans, as a result we had to make do without a backend and out website was not as robust as we would have liked.
Accomplishments that we're proud of
We are proud that we were able to translate our idea into a
functioning webpage
!
What we learned
We learned how to link
HTML and CSS.
We learned how to use an essential skill for all coders,
Git and GitHub
. We also learned how to host a website on
GitHub
.
What's next for Kitler
We hope to get some funding so that we can develop the
website/app
in a more robust manner and so that we can also market our app once we finish developing it!
Find out more about the idea
A
google doc
with more information :
https://docs.google.com/document/d/15ymF2LfmkNsf3qw60XlfBjSdgwnFXub8hwiLBy24Huk/edit?usp=sharing
Our
facebook page
with potential customers:
https://www.facebook.com/fitnesskilter
Link to
Website
https://akhilr0.github.io/
Built With
css
html5
Try it out
github.com
akhilr0.github.io | Kitler | Kilter is the first app to combine the two market trends of 1-on-1 personal training and a cashback reward to provide a more motivating workout experience. | ['Gaurish Lakhanpal', 'Subham Mitra', 'Akhil Ramidi', 'Lance Locker'] | [] | ['css', 'html5'] | 34 |
10,041 | https://devpost.com/software/covidriskevaluate | Risk Explanation
Covid Risk Map
Motivation
Give a feel for how dangerous it can be to venture outside when the COVID pandemic is still at large. Practicing social distancing, wearing face masks, and constantly washing hands can be ways to slow down the virus, but is not as effective as simply staying at home. If you do need to go outside, going to open, loosely populated areas such as a golf field would be ideal. Heavily populated areas such as bars or buffets would have a higher chance of getting Coronavirus.
Technologies
Xcode 11.3
Swift 5
Tested on iPhone X iOS 13.3
How to Play
Tap on the buildings to see approximately how much risk there is in visitng them. Shake the device to simulate washing your hands. The large counter under the emoji will display your risk level. Reset the counter with the button in the bottom right.
The CDC logo will redirect you to the CDC website.
Built With
swift
Try it out
github.com | CovidRiskMap | Interactive iOS game focused on the theme of COVID | ['Joshua Shi'] | [] | ['swift'] | 35 |
10,041 | https://devpost.com/software/covid-19-projections | Inspiration
As COVID-19 spreads, we started to think about how we could create a model to estimate the spread of infectious diseases.
Our inspiration comes from this source:
SIR Model for Spread of Disease
What it does
COVID Projections uses many variables to solve the SIR equations outlined in the paper.
How we built it
We used Python to make the program, and we decided to use a for loop instead of a recursive function to write the program that solves the equations, and then we ensured that it worked properly through extensive bug testing.
Challenges we ran into
We started with Python 2.7 by accident but were able to find and fix the error. We also struggled with some variable inconsistencies throughout, but overall I think it turned out very well.
Accomplishments that we're proud of
I enjoyed the testing phase and manages to work out most of the problems. I am also proud of how we managed to finish it in just 2 days.
What we learned
I learned how to use a new program to write my code. I decided to switch to VIM to complete this project and it turned out great.
What's next for covid-19 projections
We plan on looking at other ways to project the spread of viruses instead of limiting our scope to the SIR model. In addition, we plan on increasing the customizability of the program to include recurring illnesses and other factors.
Built With
python
Try it out
github.com | COVID-19 projections | A short program estimating the spread of infectious diseases | ['Brandon Chen', 'Crystal Zhu'] | [] | ['python'] | 36 |
10,041 | https://devpost.com/software/geomhacks-submission-ashley | Inspiration - helping and educating people
What it does - educates and helps people during the pandemic
How I built it - html
What I learned - html
What's next for geomhacks submission
Built With
html | geomhacks submission - ashley | covid-19 educating and help website | [] | [] | ['html'] | 37 |
10,041 | https://devpost.com/software/vlearn-kq0l1v | Inspiration
Awareness and Education are two of the essential ingredients of developing belief. Awareness has been highlighted by many as a key indicator of success in a range of performance environments. It is arguably the most important ingredient for belief as every other skill, quality, and task you have and undertake can be traced back to awareness. Being aware will give you an insight into your beliefs and whether they are positive or holding you back. But it takes a lot more than information to make kids understand and follow things. While on the other hand education is important to shape an individual. I wanted to make something that helps create awareness, about the do's and don't s of Covid-19 among kids, alongside it being entertaining, immersive, and educational. What better way than games to do this, and as VR is the best immersive technology available out there and keeping in mind the tendency of kids to explore new things, this application has been developed.
What it does
It is a multiplayer Virtual Reality Quiz Application. The app has many topics to choose from to play, which also helps spread awareness about COVID-19, other preliminary things that kids need to learn. It also has a real-time leaderboard of every topic that people choose to play.
How I built it
Built on unity3d.
Challenges I ran into
As this is a multiplayer application, to store and retrieve data in real-time (real-time database) I used Google-Firebase (Unity SDK), integrating it with unity has been tough work. As this is the first time I was working on networking using PUN, it has been a problem, as networking is not as easy as it seems to be, with PUN having many internal issues in my version of unity, I had to make the whole non-networking scenes again in a new version that supported PUN.
Accomplishments that I'm proud of
I could finish the development of the application in less than a day.
What I learned
Integration of realtime databases with unity apps, networking.
What's next for V- Learn
The VR application currently supports Android, Windows and hence the next goal would be to make an ios version, redefine UI, and releasing it to production so that users can have an immersive experience of modern gaming and education techniques.
Built With
c#
googlevr
photoshop
unity | VLearn | Immersive Approach To Awareness and Education. | [] | [] | ['c#', 'googlevr', 'photoshop', 'unity'] | 38 |
10,041 | https://devpost.com/software/covid19-infobot | Inspiration
People are in great misconceptions and believing myths regarding Covid 19. So, I wanted to create a bot which can be a fact machine for everybody
What it does
This info bot is capable of telling latest data of covid19 cases in India and fact regarding covid 19
How I built it
Its built using dialogflow and nodejs webhook.
Challenges I ran into
Implementation of webhook and creating a bot was very new to me this is my first chat bot
Accomplishments that I'm proud of
I have made the bot capable of bursting myth of covid19.
What I learned
Dialogflow, NodeJs and ExpressJs
What's next for Covid19 Infobot
I want to implement languages like hindi and want to make it more capable of giving facts. Apart from that I want it to give more details on live covid19 data so it can fetch data for every city.
Built With
bot
covid19
dialogflow
express.js
heroku
node.js
react
redux
Try it out
bot.dialogflow.com
souravdey777.github.io
github.com
github.com | Covid19 Infobot | Idea is to create an awareness chatbot that is easily accessible through different apps Assistants, or via the website. Knowledge giving and capability of telling latest info of covid19 cases in India | ['Sourav Dey'] | [] | ['bot', 'covid19', 'dialogflow', 'express.js', 'heroku', 'node.js', 'react', 'redux'] | 39 |
10,041 | https://devpost.com/software/jank-tank | Finished tank with everything mounted and running.
Block interface for programming the tank's auto commands.
Testing the block auto commands on the tank.
Bottom of tank with electronics assembled.
Basic electronics and base of tank assembled.
The motor was not centered at times which made the tank difficult to move.
Bottom of tank after duct tape.
Inspiration
Our team is heavily involved in robotics, and our love of robotics caused us to want to create a way for people to control autonomous robots in our case a tank without any programming experience in order to develop the same passion we have.
What it does
Our program can be accessed from any browser hooked up to the same network connection as the raspberry pi hosting it. The program is a flask webpage which allows users (kids learning how to program) to place blocks to control a robot which the raspberry pi is connected to. We also built a demo-bot for the software which is essentially a tank made "jank", hence the name "Jank Tank"
How we built the software
The block code generates formatted python code which is wrapped in a JSON object to be sent off to the flask webserver hosted on the raspberry pi in an AJAX request when the user presses the execute button. The python script then runs functions we created (e.x. forward or turnLeft) to control the raspberry pi's GPIO pins to control the robot.
How we built the demo-bot
The demo bot is powered via a 12V battery and a portable charger. The bot's "brains" are the raspberry pi, which uses the software to intercept block codes sent by the user. The raspberry pi sends out electrical signals via its GPIO pins which are read by the arduino. The arduino then sends out a signal to the MOFSET transistors, which are hooked up to the 12V battery to power the motors, which control the tank. The reasoning behind this multi-multiprocessor setup was because the raspberry pi does not have the 5V output required to run the MOSFETS we used for the motors, but the arduino can output 5V, requiring us to use the arduino as the MOSFET controller. Most of the 3D printed parts from the demo-bot were from past projects, but the tank was assembled from scratch during the hackathon.
Challenges we ran into
It was difficult to implement a block coding interface and creating unique blocks for the purpose of controlling robots. It also took us a while to connect the python code generated by the block code to the python script and also communicating and controlling the robot using it. There was also issues as mentioned earlier with controlling the motor with a raspberry pi, which we solved by placing an arduino as a sort of "man-in-the-middle" between the raspberry pi and the MOSFET transistors, which then output to the motors. We also had problems keeping the tank together because it was assembled with mostly hot glue and duct tape.
Accomplishments that we're proud of
We are proud of solving the different challenges we had, as well as creating a final product that allowed users to be educated and learn how to control robots easily. It was also great to build an actual demo robot, however "janky", to test out the code we worked so hard on. Finally, plugging together the end-to-end code was extremely satisfying to do, and was considerably cleaner than we had originally presumed.
What we learned
We learned how to implement different frameworks and implement features like block coding. We also learned how to configure a Flask server on a raspberry pi to execute python on a server. We got bounds of experience in end-to-end development, from the client to the server to the hardware.
What's next for Jank Tank
In the future for Jank tank we hope to be able to create better learning experience for the user and give more information to the user about what is happening "Under the hood". Also with more time to work on the tank in the future, we can use professional methods to assemble the tank so that it isn't so jank.
Built With
3dprinting
ajax
arduino
blockly
flask
javascript
mofset
python
raspberry-pi
robotics
Try it out
github.com
yashdraja.github.io
github.com
www.janktank.tech | The Jank Tank | The hands on learning tool to teach people how to control autonomous robots, even without knowing how to program. | ['Ari Wasch', 'Lincoln Doney', 'Yash Raja', 'Ranvir Singh'] | [] | ['3dprinting', 'ajax', 'arduino', 'blockly', 'flask', 'javascript', 'mofset', 'python', 'raspberry-pi', 'robotics'] | 40 |
10,041 | https://devpost.com/software/smoky-future | Inspiration
The air around us .
What it does
Shows us the future prediction statistics of environment air pollution
How was it built
Python ,Django ,Machine learning
Challenges I ran into
The Challanges we faced were too many good ideas and the race against the time.
But these challanges made it a whole the experience a lot better.
Accomplishments that I'm proud of
Learning new things
We are proud of the impact big or small our project is going to have in creating a cleaner world for us and our children to live in .
Have realised that we as fellow humans united can make marvel creations at a shorter time
Good team work and Coordination
What I learned
How to work with API's .
Learning to work with google cloud services
And a virtual hackathon of this size is actually possible to host
Making graphs out of data
Its time we understand our impact on the world.
Team work
Time management
What's next for Smoky Future
This is just a start we have a million step ahead of usand nothing we will keep
doing what we do best to inspire and make impact in this world for a better tommorw
Built With
django
machine-learning
plotly
python
Try it out
github.com | Smoky Future | Bring Back Blue Sky | ['Vedant Khairnar', 'Manas Srivastava', 'anush krishna v'] | [] | ['django', 'machine-learning', 'plotly', 'python'] | 41 |
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