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string | brief_desc
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9,927 | https://devpost.com/software/covid19-outbreak-and-npi-prediction | Coronaob.ai - Pandemic Outbreak and mitigation prediction
1.Overview
Coronaob.ai is the ultimate tool for predicting epidemic trends. It has been built with the help of artificial intelligence and statistical methods. This epidemic forecasting model helps in giving a rough estimate about the future scenario and also helps in suggesting non-pharmaceutical/mitigation measures to control the outbreak with minimum efforts. This will give a head start in the preparations that are made to curb the pandemic before taking the lives of people.
Note: An NPI is the same as a mitigation measure.
2.What exactly is the problem?
During any pandemic, it's difficult to scale up the implementation of the mitigation measures, this is often because of the chaos that is caused during the pandemic. It often becomes an unseen situation wherein the authorities lack smart judgment on which step to take further which makes the situation even worse. It's not always necessary to implement the strongest mitigation measure as medium-strength mitigation can get the job done, thus giving more weightage to the economic stability and other subjects.
3.What can be done to tackle this issue?
A strategy that can give a rough picture of the future scenario describing the number of cases and the area of spread can give an insight into what could better be done to reduce the effect in an easy and cost-effective manner. Also, having a record of previously taken successful-steps can also provide much boost to this strategy.
4.Our Goals
a. To give an estimate by forecasting the number of cases and trends in the spread etc, which will give a good construction of how the scenario would be.
b. To suggest/predict the best suitable mitigation measures, according to previously taken successful steps, thus saving resources and not creating chaos.
c. To make this approach a robust one, so that any agency working on
5.Milestones
Prototype stage
: We have completed our first stage training and testing on the covid19 data and have achieved over 90% accuracy in predicting the new cases the immediate next day and over 85% accuracy in predicting the long term scenario.
On the mitigation prediction part, we have achieved an accuracy of 91.8% and we were successful in bringing down the hamming loss to as low as 8.2%.
Accuracy
: Our method is one of the most accurate ones among the others in predicting such trends.
6.Specifications
Our submission is a script containing the machine-learning models that can be boosted with an interesting UI as mentioned in the gallery picture.
7.Technical details
Major tools used
:
a. Kalman filter
: It’s an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe.
b. Regression analysis
: It’s a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome variable') and one or more independent variables (often called 'predictors', 'covariates', or 'features').
c. Scikit-learn
: Scikit-learn (formerly scikits.learn and also known as sklearn) is a free software machine learning library for the Python programming language.[3] It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means, and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
8. Dataset Description
Some details regarding the columns of mastersheet prediction are:
Each row is an entry/instance of a particular Npi getting implemented.
Country: This column represents the country to which the entry belongs to.
Net migration: The net migration rate is the difference between the number of immigrants (people coming into an area) and the number of emigrants (people leaving an area) throughout the year.
Population density: Population density is the number of individuals per unit geographic area, for example, number per square meter, per hectare, or per square kilometer.
Sex Ratio: The sex ratio is the ratio of males to females in a population.
Population age-distribution: Age distribution, also called Age Composition, in population studies, the proportionate numbers of persons in successive age categories in a given population. (0-14yrs/60+yrs %)
Health physicians per 1000 population: Number of medical doctors (physicians), including generalist and specialist medical practitioners, per 1 000 population.
Mobile cellular subscription per 100 inhabitants: Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provides access to the PSTN using cellular technology.
Active on the day: The number of active cases of covid19 infections in that particular country on the day it was implemented.
Seven-day, twelve-day and thirty-day predictions are for active cases from the date it was implemented.
And the date-implemented is converted to whether it was a week-day or a weekend to make it usable for training.
The last column represents the category to which the NPI that implemented belonged to.
9. I/O
Input
: The epidemic data such as the number of infected people, demographics, travel history of the infected patients, the dates, etc up till a certain date
Output
: 1) Prediction of the number of people who will be infected in the next 30days.
2) The countries that will get affected in the next 30days.
3) The mitigation/restriction methods to enforce such as curfew, social distancing, etc will also be predicted, to control the outbreak with minimalistic efforts.
10. Dividing the measures into categories:
Category 1
: Public -health measures and social-distancing.
Category 2
: Social-economic measures and movement-restrictions.
Category 3
: Partial/complete lockdown.
To categorize the npis we followed a 5 step analysis
:
Step 1
: We chose 6 different countries that have implemented at least one of the above-mentioned npis.
Step 2
: We had chosen a particular date wherein one of the NPI was implemented.
Step 3
: From that date (chosen) we had calculated a 5day, 8day, 12day growth rate in the number of confirmed cases in that country.
Step 4
: According to 1)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327893/
2)
https://www.worldometers.info/coronavirus/coronavirus-incubation-period/
we took a reference that, over 50% of the people who are affected on day1 show symptoms by day5, over 30% of the people affected on day1 show symptoms by day8 and the last 20% start showing symptoms by day12. Assuming that, they get a checkup as soon as they are showing symptoms, we had calculated a cumulative growth rate.
Step 5
: This cumulative growth rate was not very accurate due to the population densities of the countries being different. So, we had normalized the obtained scores from step4 by the population densities. That gave us the following results.
More information can be found here:
link
[ (896.4961042933885, 'CHINA', 'SOCIAL DISTANCING'),
(720.7571447424511, 'FRANCE', 'PUBLIC HEALTH MEASURES'),
(578.0345389562175, 'SPAIN', 'SOCIAL AND ECONOMIC MEASURES'),
(527.7087251438776, 'IRAN', 'MOV RESTRICTION'),
(484.1021819976962, 'ITALY', 'PARTIAL LOCKDOWN'),
(207.67676767676767, 'INDIA', 'COMPLETE LOCKDOWN')]
Ex: (Cumilative growthrate(normalised), Country Name, Measure-taken)
So the above analysis shows the decreasing order of growth rates and increasing order of strength, however, this is not very accurate due to various other reasons, but this gives a rough estimate of the effectiveness/strength of the npis.
11. Working
a
. The inputs given regarding the previous days’ record of the outbreak are first filtered by the Kalman filter and then further the modified inputs are sent to the regression model which will predict the scenario with better accuracies than any other simple regression model.
b
. Then the predictions from the above models are fed into the machine-learning model which will further help in predicting the mitigations to be used, based on the previous history given in the literature, ex-social distancing.
c
.We performed 10 Folds Cross-Validation by dividing our data set into 10 different chunks, then running the model 10 times. For each run, we designate one chunk to be for testing and the other 9 are used for training. This is done so that every data point will be in both testing and training.
12. Conclusions
This method can help the authorities to develop and predict various mitigation measures that will help in controlling the outbreak effectively with minimum efforts and chaos.
13. What did we learn?
a
.This project was challenging in terms of the conceptualization and data collection part, there was no direct data available. We learned how to take relevant data from different datasets, engineer them, and use it for our purpose.
b
. The regular regression algorithms failed in giving accurate results, so we had to think something different that can increase accuracy. Thus, we came across the idea of using the Kalman filter, and using these updated inputs we could achieve better accuracy.
c
.Since we had to take regions having more than 1000cases only for the effectiveness of data, the overall dataset became small, deep-learning models failed. This made us switch to machine-learning algorithms.
d
. We also used clustering algorithms which gave a deep understanding of why these work better in some situations.
e
. Also due to some problems, it was exciting for us to use both R and python in a single notebook thus adding it to our learning.
14. The drawbacks of our approach
a
. This above-mentioned approach has many drawbacks, one of them is an incomplete dataset.
b
. There are no good-differentiating features in the dataset.
c
. In our approach, we are not able to decide the effectiveness and a go-to plan of action for deploying npis.
All the data-points are very-similar to one-another, hence it is being difficult for the algorithm to learn.
15. What improvements do we want to make further?
a
.There could be a set of strong differentiating features in the dataset, which will make the generalization easy.
b
.There can be a further categorization of npis for better implementation of them.
c
.The dataset can also be combined with economic parameters further, to understand the economic feasibility of the NPI-implementation.
d
.It can further be used to predict the decrease in growth rates, once an NPI is implemented to further note the real-time effectiveness of the npis in a particular demographic
15. References
a
.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327893/
b
.
https://www.worldometers.info/coronavirus/coronavirus-incubation-period/
c
.
https://archive.is/JNx03
d
.
https://archive.is/UA3g14
All the other references are mentioned in the submission notebook at every step.
16. Product Roadmap
The coronaob.ai team has the functionality of the platform. We are currently in the process of bringing our front-end up to speed with our U/X designer's wireframes. Below is our Product Roadmap post hackathon submission:
a.New Security Features
b.Admin Dashboard
c.Analytical graphs
17. The team
a. Saketh Bachu - Machine-learning
b. Gauri Dixit - UI/UX development
c. Shaik Imran - Medical Expert/Design
Built With
kalmanfilter
matplotlib
numpy
pandas
scikit-learn
Try it out
github.com | Coronaob.ai - Pandemic Outbreak and mitigation prediction | Coronaob.ai is built with the help of AI and statistical methods. This model helps in forecasting the number of cases and also predicts mitigation measures to control the outbreak. | ['saketh bachu', 'Sandeep Kota Sai Pavan'] | ['Third Place'] | ['kalmanfilter', 'matplotlib', 'numpy', 'pandas', 'scikit-learn'] | 93 |
9,927 | https://devpost.com/software/gmedchain | Healthcare blockchain supply chain solutions integrating data, IoT & AI to track, and manage life-saving medical products safely.
Typical base station sensor and comms package
Smart Pallet electronics and sensor package
Smart Pallet with sensors and electronics package
Arduino Mega - used at base stations in warehouses and vehicles
BME280 - measures temperature, humidity and pressure, used at warehouse and
MPU 6050 IMU- detects falls, shocks and motion. placed in smart pallet
Raspberry PI with metal enclosure and fan - used as base station in warehouses and vehicles
ESP32 microcontroller used on smart Pallets
rc522 RFID/NFC radio module. used at warehouses, vehicles and smart pallets
DHT11 measures temperature and humidity - part of smart Pallet
HC05 Bluetooth Radio (acts as beacon or transciever on pallets, warehouse and vehicles)
Powerpack for smart pallet (~2400mAh)
Azure CosmosDB backend showing IoT hub data
Azure CosmosDB backend showing IoT hub data (2)
Inspiration
The COVID-19 2020 crisis has put an added unprecedented strain on the global medical supply chain. Millions of people around the world have died because they didn’t have timely access to safe and affordable medicines, vaccines, and other health services. There have been widespread reports of fraudulent production and fraudulent claims of PPE and other critical supplies across the chain.
The medical supply chain is long, costly & multilayered, resulting in a lack of communication, transparency and trust between supply and demand. There are risks that products may not arrive in the right condition at the right locations at the right time.
The current situation is really a broader story about weak supply risk management and lack of governance and integration across the supply chain.
According to the WHO, it is estimated that up to $200 billion worth of counterfeit pharmaceutical products are sold globally every year and 50% of these drugs are purchased online. There are counterfeit medicine cases in every part of the world. Interpol officer Aline Plançon says “there is a flow of products coming from everywhere and going to everywhere, there are so many hubs."
The FDA’s Drug Supply Chain Security Act, part of the Drug Quality and Security Act, was first implemented in 2015 and sets drug and pharmaceutical product tracing, verification and identification requirements and implementation benchmarks that will roll out through 2023.
Similarly, the E.U. is putting the Falsified Medicines Directive (FMD) into action by 2019, requiring drug companies to adopt mass serialization, which encodes drug packages with a unique identifier, like a scannable barcode, serial number or radio frequency identification (RFID) coding, allowing for easy tracking by companies and regulators.
What it does
GMedChain is here to solve the medical supplies and medication shortages and fraud problems with our blockchain supply chain solutions to improve trust, efficiency, and transparency of the healthcare supply chain system.
By integrating Blockchain technology & IoT into the healthcare supply chain ecosystem, we are developing a fully transparent and decentralized platform offering safer, more efficient ways to connect with all medical supply chain stakeholders as well as to track and trace medical supplies.
Our solution provides product authentication to prevent counterfeit vaccines, cold chain monitoring management with real-time data, and advanced analytics to respond quickly and intelligently to market disruptions.
It can track and manage resources at the ecosystem level, which provides greater accuracy and better forecasts, reducing waste and preventing stock-outs, supply-side shortages, delivery time variability, and supply-chain disruptions. Especially in developing countries where no efficient system is in place, and the combination of infrastructure issues could create supply chain dysfunction.
How we built it
IOT demo explanation
The demo hardware prototype consists of a package, a pallet and 2 locations. Each location has an RFID radio and bluetooth beacon enabled base station. In addition, the base stations at the two locations have a BME280 sensor which detects environmental conditions (temperature, humidity and air pressure). A location could be defined as a warehouse, a vehicle, a storage unit or a facility. The pallets are also equipped with RFID radio and bluetooth radio. Each package has an NFC/RFID tag which identifies it and tags the current location. Pallets are equipped with a DHT11 (measures temperature and humidity), a 6 axis accelerometer/gyroscope sensor (detects shocks and falls) and has the ability to connect to other sensors. The microcontroller in the pallet is an ESP32, powered by a LiPO battery pack (~2400mAh). All the sensors in the system periodically send data to Azure IoT Hub, which in turn stores this data on the Azure CosmosDB backend. The data can then be put as transactions on the blockchain and can be viewed by the frontend. In the demo, we show readings being continuously updated to Azure IoT hub, as the package in the pallet moves from one location to the next. The package and pallet location details are also updated at each checkpoints, and each of these is a transaction on the blockchain. A potential smart contract can stipulate certain conditions of safe carriage which can be enforced by having the system automatically detect violations of these conditions as detected by the sensors in the different components.
Accomplishments that we're proud of
We have two customers signed up
What's next for GMedChain
Beta-test with the First Supplier
Work with hospitals to design and refine the UX
Public Beta Launch: Select and roll-out to
Public hospitals & large manufacturers
Scale to hospitals globally through targeted LinkedIn campaigns, media, and word-of-mouth
Scale solution to vaccines and other pharma products
Built With
ai
blockchain
data
html5
iot
Try it out
www.youtube.com | GMedChain | Our solution offers an Industry-focused relationship-first platform, integrating data, smart-logistics, and blockchain to exchange and deliver life-saving medical supplies safely. | ['Muntaser Syed', 'Husein Attarwala, CPHIMS, PMP', 'Derek Bryson', 'Yan He', 'Miriam Dong'] | [] | ['ai', 'blockchain', 'data', 'html5', 'iot'] | 94 |
9,927 | https://devpost.com/software/connect-aqf29d | Inspiration
It is no secret that the coronavirus pandemic has disrupted societal activities across the world. It has led to the death of many, the lockdown of countries, and the unemployment of hundreds of thousands, to say the least, and in a twist, decreased the level of air pollution in the world. It is clear that many suffer from the effects of the pandemic, as airline companies are laying off thousands, universities are laying off student workers and large amounts of individuals are been laid off work in the hospitality companies, these are only a few examples of the effects of the pandemic. It is based on those effects the idea of Connect came to be, it is a platform that allows people to stand in solidarity with one another in this trying times to better the survival of many people who cannot survive on their own.
What it does
My submission for this hackathon is for the solidarity and elderly track.
Connect is an application that connects those in need to those who are willing to give. It allows users to login as either a receiver or a giver. Givers can donate products or services posted by receivers. Products could include food to help the hungry, clothes to help the needy, laptops or internet connection to help underprivileged children adjust to online education and much more, while services could include medical services like helping the mentally ill, engineering services to fix or set up things like good electricity for the needy, veterinary skills to help save animals, and much more. If givers don’t have products and services to give they have the option of donating through affected businesses, like a giver donating by paying affected restaurants to cook food and paying affected courier services to deliver the food to those in hunger. This would have a double charitable effect, by helping multiple parties involved. Also Connect has the option of giving recommendations to givers who aren’t sure of what to donate, by showing them the most needed things, and in the spirit of connecting people in solidarity Connect has the option of connecting NGOs or institutions to people who want to help such bodies in carrying out charitable works during this pandemic, thereby increasing the impact of such organizations on various levels
How I built it
Connect is currently an android application, so I built it using the android studio application made by Google and IntelliJ. I used the Java programming language to program the application and XML for the mobile design rendering.
Challenges I ran into
Accomplishments that I'm proud of
I am proud of participating in such a hackathon which opened me up to the effects of the coronavirus and allowed me to apply my skills to solving some of the effects. I am proud I created an application that greatly helps people in need
What I learned
This hackathon improved my programming skills all round. I learned that if we all stand together in solidarity, we can all heal and make the world a better place.
What's next for Connect
Getting it to save as many lives as possible, and on various devices.
Built With
android-studio
java
xml | Connect | A platform to connect people or organizations who lack with people or organizations who are willing to give | ['Osas Azamegbe'] | [] | ['android-studio', 'java', 'xml'] | 95 |
9,927 | https://devpost.com/software/useless-thing | Inspiration
Do stuff
What it does
Probably something
How I built it
Put it in box
Challenges I ran into?
Business logic worth on rate
Accomplishments that I'm proud of
Nothing accomplished
What I learned
Nothing fancy
What's next for Useless thing
Make useful and confidential
Built With
python | Useless thing | It does nothing. | ['Pavl S'] | [] | ['python'] | 96 |
9,927 | https://devpost.com/software/co-help-a-web-portal-for-covid19 | Introduction
During this pandemic, almost every country is in the lockdown phase and every person in that country is in their home so it is very difficult for them to get the daily essentials and other things.
Co-Help is a web portal where every essential service is offered so that social distancing can be maintained properly.
What it does
Co-Help
is a web portal with tons of features. It provides a platform for the common people to get their essentials, to know about
Corona Virus
, and stay aware. We have made this site so that the common people do no come out of their homes to get their things, and it will help in decreasing the spread of the Corona Virus. Here, we have also introduced the
hospital section
so that people can know about the containment zone near their residence and visit COVID Hospitals if they feel that they are having the symptoms.
Sections of Co-Help
Co-Help has several sections for every section of people. These are discussed below:
Hospital Section: 1. It shows the nearest COVID Hospital so that if people who are suffering from COVID19 can get isolated at COVID Hospitals. It uses the
Google Map's API
for showing the hospitals. Also, we have given the hospital contact numbers and common state government contact numbers for help.
2. It has a map, thanks to
Google Maps
, where it shows the
containment zones
in a particular city. It'll help and aware people to stay away of that zone which will reduce the spreading of the Corona Virus.
3. Corona Test Centers are also marked so that people can go there for the testing.
Daily Essential Section
for buying essential items and those will be supplied at the doorsteps by Govt authorities so that there will be no movement of public mass in the market.
All the products as been categorized so that there will be smooth delivery of products.
Information portal
for updates from WHO.
COVID Help section
for Donation fo fund and volunteering option.
In the donation section, people can donate money to the relief fund so that the Govt can use that money in providing food to the poor.
In Volunteering Section, jobless people can apply for jobs like sanitization work so that they can earn money by doing that work.
i-Education
for providing free education to the students. There are sections for class notes on various subjects, videos so that students can understand each concept properly and free online courses also so that students can learn during this quarantine.
Corona Go App
: This app is used to track the COVID19 stats and give realtime updates from the Ministry of Health & Family Welfare (India) and WHO's Twitter feed and their website. Also, it shows the stats of COVID19 of the World as well as of India.
Online Doctor
is a section where you need to upload your queries and doctors linked to it will call you so that they can know from what you are suffering from. This will help people in getting medical care directly from the home.
How we built it
HTML
CSS
Google Map's API
Java (for Android App)
Team name: PIYSocial
Members: Saswat Samal & Sanket Sanjeeb Pattnaik
Links
Website Link:
https://cohelp.netlify.app/
Github Link:
https://github.com/PIYSocial-India/Co-Help
CoronaGo Link:
https://bit.ly/piyappstore
Built With
css3
google-maps
html5
java
javascript
Try it out
github.com
cohelp.netlify.app | Co-Help | A Web Portal for COVID19 | A web portal to help the general public during this pandemic! | ['Saswat Samal', 'Sanket Sanjeeb Pattanaik'] | [] | ['css3', 'google-maps', 'html5', 'java', 'javascript'] | 97 |
9,927 | https://devpost.com/software/ai-based-screening-of-covid-19-using-chest-ct-scans | Intermediate Layer's features mapping. (a) Layer 1 (b) Layer 4, (c) Layer 8, (d) Layer 14. Shows complexity of features extracted via CNN.
Image pre-processing visualization. Summary of the image pre-processing module. The final image is free of artifacts.
Architecture of the truncated VGG16 used. Truncation point was determined experimentally. Last block was fine tuned to improve performance/
Confusion Matrix of Various Classifiers Tried. Features extracted using Truncated VGG16 architecture. Tested on test set.
Overview of the Project
Motivation
The rising cases of COVID-19 and not enough testing equipment motivated us to find a scalable solution that was accurate and at the same time cost and time efficient.
Deep learning, one of the most successful AI techniques, is an effective means to assist radiologists to analyse the vast amount of chest CT Scan images, which can be critical for efficient and reliable COVID-19 screening. In this project, motivated by the fact that CT Scans are much more accurate for diagnosis compared to X-Rays , a transfer learning-based feature extraction model, which we call VGG Feature Classifier, is proposed to screen COVID-19 positive CT scans from other healthy and non-COVID diseases.
How did we get the Resources
To evaluate the model performance, we have used 58 chest CT Scan images of 50 patients confirmed with COVID-19 and 66 chest CT Scan images of non-COVID patients. The images were collected and compiled from medRxiv and bioRxiv posted between Jan 19th and Mar 25th. To train our model we used 232 COVID-19 images and 260 non-COVID images, collected from same source as the evaluation data. We also included CT Scan images of Pneumonia and Tuberculosis patients in our non-COVID training set to improve the precision of the model.
What we have done
Our experimentation shows that our model can detect COVID-19 samples with an accuracy of 0.944. Our model has a precision of 0.968 and a F1 score of 0.946 when evaluated on the 124 test images. Thus, offering a promise of our proposed model for reliable COVID-19 screening of chest CT Scan images.
Project Structure
Summary of Model
In this work, considering the fact that CT Scan imaging systems are more accurate and precise than X Ray systems, Deep learning model is built to screen COVID-19 using CT Scans. A transfer-learning based model is proposed, which we call Truncated VGG feature based classifier. For training, other than healthy CT scan samples we have also collected Pneumonia and Tuberculosis patients’ CT Scans to increase the model’s selectivity/recall.
Performance Summary
The proposed model is validated to classify COVID-19 positive CT Scans from Pneumonia, Tuberculosis and healthy CT Scans. Using the limited number of COVID- 19 positive CT Scans, we have achieved a very high precision and recall. On the whole, in this paper, we demonstrate that the Truncated VGG features based classification model outperforms the state-of-the-art results for COVID-19 positive cases.
The project provides an Ideal solution for COVID-screening at large scales with a testing time of less than 0.5 seconds and an accuracy of over 95%.
How we built it
Inspired from the fact that COVID-19 shows patches of ground glass opacity (GGO) and consolidation
in CT Scans, to detect COVID-19 cases, a multi-resolution analysis of the CT Scan images is
deemed useful. The required trait is possessed by the VGG16 module. Additionally, considering the fact that the number of data samples of COVID-19 positive CT Scans is very scarce at present, a modified version of the VGG model is proposed, which we call Truncated VGG.
Pre-Processing -
FIgure - 1 : Summary of the preprocessing module
Since our Data is composed of images from varied sources, it is very sporadic. If trained directly on these images, the features extracted will not be homogeneous across data causing the model to have a low accuracy. To tackle this, a strong image pre-processing module has been designed.This module ensures our model can generalize well to this data.
We first have an adaptive region of interest extractor which crops, rotates, zooms, centers and straightens the image. Many images in the data-set have labelling and markings around the corners which could affect the performance of the model. To overcome this and to get a more accurate ROI selection, elliptical masks are applied to the CT Scan images. ROI selector removes all the non lung features from the images.
CT scans have artefacts like beam hardening, noise, scatter, etc. These artefacts if not handled, reduce the accuracy of the model. To overcome this, an artefact removal module is applied which uses filtering and morphological transformations to remove such artefacts. For the purpose of filtering, a bilateral filter, with a kernel of (5 x 5), is used because of its edge preserving property. Morphological transformations namely erosion and closing are applied to reduce background holes and intensify the productive features in the image.
Feature Extraction
Features are extracted from images using a transfer learning based truncated VGG Model. This section describes the implementation of the truncated VGG alongwith the reason for a truncated architecture.
Reasons for Choosing VGG Model -
VGG, ResNet 50 and AlexNet are the most popular CNN architectures for medical image classification. The three CNN archtectures are compared in Table-1 for our dataset. For Comparing the models, a Softmax layer is appended to the architectures. As can be seen from the data, VGG outperforms ResNet and AlexNet on the dataset.
Table-1 Comparing Various Architecture Accuracies
Architecture
Accuracy
ResNet50
79.3%
Alex Net
74.6%
VGG16
85.5%
The combined output of the VGG module provides rich feature maps of varying perspectives. The small-size convolution filters allows VGG to have a large number of weight layers leading to an increased performance. Such a property of the VGG module explains its unique performance in medical imaging, and in our case, on the COVID-19 CT Scans.
Truncated Architecture -
Figure-4 : Truncated VGG Architecture Summary.
The VGG model was designed for imagenet database which has over 14 million images. Owing to the large size of the imagenet database, the VGG16 architecture is built to extract complex features with high dimensionality from images. Since our COVID-19 dataset is much smaller with only 492 images, a high complexity of feature set will cause the model to overfit the data. To prevent this, A truncated VGG16 architecture is proposed which contols the complexity of the features. The first three convolution blocks of the VGG16 architecture have been used for our truncated architecture and the output has been flattened. The reduced complexity of the architecture allows our model to generalize well to the small dataset.
The truncation layer was determined by evaluating performance on the test set with different points of truncation. Table-2 gives a summary of the results of this analysis. Figure-2 depicts the architecture of the truncated CNN.
Table-2 Comparing Truncating Points
Truncation Point
Accuracy
Layer-10
81.8%
Layer-14
92.2%
Untruncated
86.5%
Transfer Learning
Training a Neural Network from scratch requires huge amounts of data. Since the COVID-19 dataset available is significantly smaller, we rely on transfer learning to extract accurate and concise feature set from our training data. With transfer learning a solid machine learning model can be built with comparatively little training data because the model is already pre-trained. For our purpose we use a pre-trained model i.e. VGG16 with imagenet weights.
Since the Image net set is non-overlapping to the problem, the last 4 layers i.e. the third convolution block are fine tuned on the training data. This ensures the representation extracted from the data is relevant to the classification. Through transfer learning, an accurate set of reduced feature representation of our data has been extracted.The extracted features displayed as a color map are represented in Figure-3.
Figure-3 : Feature map of various intermediate layers.
Summary of Feature Extraction
A Truncated VGG16 architecture is proposed for extracting features. The architecture is based on a represeantation learning model using imagenet weights. The last block of the truncated architecture is fine tuned with diffrential learning rates for more accurate extraction. The model thus gives a reduced representation of raw data with accurate features to be used for the classification.
Dimensionality Reduction
The feature extractor module, reduces the dimension of the data to 25,000 features per image for an image size of 112 x 112 pixels. However, with only 492 training examples, the model will still overfit the features. To prevent this feature selection and dimensionality reduction of data is applied.
PCA, Autoencoder and KBest have been used to select about 300 features, and then compared their accuracies after classification with an SVC. While using PCA 95% variance was retained which yeilded 358 features. The Autoencoder and Kbest were also configured to select 358 features. The results of the analysis is tabulated in Table-3. For our data, PCA gives the highest accuracy. One of the keys behind the performance of PCA is that in addition to the low-dimensional sample representation, it provides a synchronized low-dimensional representation of the variables. This provides a way to visually find variables that are characteristic of a group of samples.
Table-3 : Comparision of Feature Selector Accuracies
Technique
Accuracy
PCA
94.3%
KMeans
84.1%
Auto-Encoder
86.4%
Classification
The extracted features from the training set are used to train the classification module to screen COVID-19 CT Scans. For classification a different model that trains on the features selected by PCA is used. In machine learning no one algorithm is suitable for all problems. Hence, for achieving the highest performance, 6 different classification model were evaluated, using test set features. Based on these results the best suited classifier for our problem is chosen. What follows are the brief details of our implementation of various classification models followed by a summary of results.
Figure-4 : Confusion Matrices of the Various models Proposed.
Deep CNN
Since, VGG is itself a CNN architecture, for our Deep CNN model, a fully connected layer of size 1024 is added to the truncated VGG architecture followed by a softmax layer for classification. This gives us the most direct classification model where the feature extraction and classification are in the same CNN architecture. The deep CNN utilizes the fine tuned weights and uses it to directly predict the output. The performance of Deep CNN model is summarised in Table-4. The cocnfusion matrix is shown in figure-4.
SVM
For classification using SVM, radial basis function kernel (RBF) was used because of the high dimensionality of the data. The hyper-parameters C and gamma were experimentally determined. The summary of SVM evaluation for different values of C is given in Table-4. The confusion matrix for C = 2.5 is given in figure-3.
Bagging Ensemble
For classification using Bagging SVM, the data set was randomly divided into10 parts and trained the individual classifiers independently. They are aggregated to make a joint decision by the deterministic averaging process. The same SVC model was used as the base estimator. The confusion matrix for Bagging SVM is given in figure-4.
Extreme Learning Machine (ELM)
For classification using ELM, various activation functions like gaussian, multiquadric and polyharmonic RBFs were implemeted. The number of hidden layers in the model are 1000 with best-suited gamma(Width multiplier for RBF distance).The confusion matrix for ELM is given in figure-4.
Online Sequential Extreme Learning Machine (OS-ELM)
For classification using OS-ELM,
SLFN
was implemented with sigmoid activation function with 2500 hidden layers. The dataset was divided into chunks, and the model was initialized and sequentially trained. The confusion matrix for OS-ELM is given in figure-4.
Experimentation
Data Augmentation
The size of the available COVID-19 Chest CT Scan Dataset is quite small. If the model is trained on such a small number of COVID-19 positive cases, it would have a very low recall. To overcome this, Data AUgmentation has been applied. We augment each training image by random affine transformation, random crop, flip and random changes in hue, brightness and saturation of the image. The random affine transformation consists of translation and rotation (with degrees of 5, 15, 25).
Adversarial Defense
Deep learning models are easily fooled with noise perturbations. Such perturbations might also happen in the real world. To defend our model against such noise attacks, a defense module has been designed.
Three image denoisers have been applied namely total variation, guassian filter and wavelet denoising. The prediction of all 4 images is passed to an ensemble which finally classifies the image. On evaluation on the test set after adding random noise, the model gives an accuracy of 82.34%.
Data-Set
The COVID-19 data is very scarce and difficult to obtain. Despite this we collected 290 CT Scans of people tested positive for COVID-19. The dataset was collected from pre-prints uploaded on medRxiv and Biomed from 25th January 2020 to 30th March 2020. The Summary of Data set is given below.
COVID-19 Positive Scans - 290
COVID-19 Negative Scans - 326
We divided the set for training, validation and testing in a 7:1:2 ratio.
We had 431 train images, 123 test images and 62 validation images.
Results
For evaluation, the dataset is randomly split in a 7:1:2 ratio as training, validation and testing sets respectively. The overview of the split is shown above. The final performance is the average of 5 random set divisions.
Our proposed model's evaluation is summarized in Table-6. Our model has a very high precision of 96.82% and an F1 score of 94.45%. Our model outperforms any other model on COVID-19 screening using CT Scan Images in terms of accuracy and F1 score.
As a model signed for COVID-19 screening, the proposed method aims to reduce the false negative rate as much as
possible, since false positive cases can potentially be identified in the subsequent tests, but false negative cases will not have that chance. Our proposed model has a false negative rate of 6.58%, which is significantly lower than other COVID-19 CT Scan screening models.
Table-4 Summary of Results -
Classifier
Accuracy
SVM
94.35%
DeepCNN
92.65%
Bagging Classifier
95.38%
ELM
91.93%
OSELM
93.54%
Deployment
We have also made made a GUI for our model. The GUI is basic at the moment where the user uploads the image of a Chest CT Scan and the website uses our model to predict if the case is of COVID-19 or not.
We are currently trying to publicly deploy the website and add featurres like severity score and progress tracker.
We are also working on building an app for the model.
The basic version of the model is deployed at :
COVID-19 CT Scan Screener
Accomplishments that we're proud of
We built a model that outperforms any other model for CT Scan based COVID-19 Screening. This was a huge accomplishment for us. We have also launched a website for users to upload images and test CT Scans.
We are really happy and proud of our work but will be more proud when it is actually deployed in hospitals and helps fighting the pandemic.
We also built the model in a time-span of 1 week which was really difficult given the scarcity of data and complexity of the problem.
What we learned
We learnt many new techniques of Image classification and Image processing.
Overall this was a great learning opportunity for us. We look forward to implementing this solution on a scale that helps people fight the COVID-19 outbreak.
How will this help in the fight against COVID-19
As the cases of COVID-19 keep increasing globally, the pressure on the healthcare system keeps mounting. Studies have shown that people are unable to find trained professionals to check their reports. This is a flaw in screening and will lead to further spread.
If our solution gets deployed, it will help in screening patients at an accuracy that is comparable to a trained doctor in 1/1000th of the time taken by an actual professional. Bulk testing through our model will lead to better screening and isolation of patients.
A doctor on average needs 15-25 minutes to screen a CT Scan from print. This is just the doctor's time, the overall screening process takes hours. With our solution, we could screen a patient within seconds and also generate a report of how severe the infection is. Not only that the model has a feature to flag low confidence instances for a doctor to look over.
This can be really crucial especially in areas where the doctors are heavily outnumbered and trained professional can't cater to everyone's needs.
Ultimately this will help flatten the curve.
We look forward to implement this model at a wider scale.
Video Demo Link :
Video Demo of Website
Built With
angular.js
css
flask
html
image-augmentation
javascript
joblib
keras
numpy
opencv
pickle
python
scipy
skimage
sklearn
tensorflow
vgg16
Try it out
github.com
covid19-ctscan.herokuapp.com | Transfer Learning based COVID-19 Screening of Chest CT Scans | Transfer Learning is one of the strongest feature extraction techniques for images. Combine it with an ensemble of classifiers and you have a complex classifier capable of screening even COVID cases ! | ['Mukul Singh', 'Shrey Bansal'] | [] | ['angular.js', 'css', 'flask', 'html', 'image-augmentation', 'javascript', 'joblib', 'keras', 'numpy', 'opencv', 'pickle', 'python', 'scipy', 'skimage', 'sklearn', 'tensorflow', 'vgg16'] | 98 |
9,927 | https://devpost.com/software/nikhil_aws_star | Inspiration----AI
What it does--- Artificial Intelligence
How I built it - sing AWS
Challenges I ran into - AWS functionalities
Accomplishments that I'm proud of - AI
What I learned - EC2
What's next for Nikhil_AWS_Star - Azure, Docker, Microservices, Kubernetes, Clusters, Orchesrtation
Built With
amazon-web-services | Nikhil_AWS_Star | How to use AI in Amazon Web Services | ['Nikhil Pandey'] | [] | ['amazon-web-services'] | 99 |
9,927 | https://devpost.com/software/colombianart |
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Inspiration art passion when I was living in Prague, working with a friend mine in her gallery make me realize we have a beautiful culture multi culture in a country with rich roots and identity and her own language
What it does make be a discipline person and fight for be better
How I built it constance and perseverance
Challenges I ran into better strategies for build my business and promote artists international experience in Czech Republic
Accomplishments that I'm proud of until now we was the bridge for 42 artists and participated in international arts fairs ( artbasel, art Prague, art london, art berlin and doing a hard work for promotions of my artists
What I learned to be humble and the cultural community no have any specific niches must be from cero until 100 years old
What's next for Colombianart we working in virtual structure for keep going with our lives and find new ways doing strategic alliances with serious international platforms we are working already since 6 years ago
www.artstaq.com
...
www.faceup.com...Create
our own products...FACEBOOK LIVE cultural topics Galeria Colombianart groups
Built With
artstaqplatform
english | Colombianart | Facebook live with cultural contents and specific topics for support artists from different locations | ['Sandra Vlcek'] | [] | ['artstaqplatform', 'english'] | 100 |
9,927 | 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'] | 101 |
9,927 | https://devpost.com/software/covid-19-challenge | Inspiration
WhatsApp instructions of use
Start the conversation
Give us feedback
Winners at the COVID-19 Global Hackathon
Inspiration
Across the world, hospitals are collapsed because of thousands of citizens requesting medical services related to the pandemic.
Just in Europe, over 1 073 947 people are directly affected by COVID19
, and we got really inspired by a real story of a Doctor, that writes in an article
"I’m a Doctor in Italy. We Have Never Seen Anything Like This, my country’s health care system may soon collapse. None of us have ever experienced a tragedy like this."
The coronavirus COVID-19 has reached our cities, crossing borders and radically modifying our daily lives. The exceptional nature of the situation means that each and every one of us has to invest efforts that help stop this pandemic, but how can we do it?
So our team start thinking: What if we start promoting telemedicine and digitalising the consults related to symptoms or where to find hospitals, test labs, food or hygiene products. Also helping to fight Fake news and providing motivational content for any person passing through this hard moment.
Telemedicine & consultations online has great advantages: we do not saturate Hospitals with non-urgent visits, we lower the potential infection of doctors and also we reduce the number of displacement and, therefore, the contacts that may cause the spread of the virus.
*
Hospitals are collapsing because of the overwhelming request of medical services related to this pandemic. *
And this are also other problems we are seeing and it inspire us to build this solution:
1) Healthy individuals with lack of knowledge and inaccurate information unnecessarily going to the hospital with the risk of being exposed to the virus.
2) Waiting times prolonged for people that need the immediate attention.
3) Hospitals Exceeding their capacity & resources with non-emergency cases.
What it does
Through a virtual assistant that runs on WhatsApp, we provide non-emergency support, an through Natural Language Processing models we try to understand how the users feels during the day, for example:
User say:
"Bad, I feel very sick"
I think that I'm infected
Please connect me with a Telemedicine Volunteers
Marie resides in a remote town in Sussex in England, and during several weeks she presented pronounced cough and headaches. So, she start getting worried, and decided to consult a doctor, but this time she doesn't move from her home, and she will be treated in Amsterdam, 7,300 kilometers away. How? She turn on the mobile, open her WhatsApp and connect to a video call, detail her symptoms in the conversation, and wait for a doctor to connect to the call.
User say:
"I'm ok, just looking for information"
I live in Santiago de Chile and I want to track Today's news about COVID-19, find Hospitals near me, Test Labs, find Food and Hygiene products or identify a Fake new.
via GIPHY
User say:
"I want to become a Volunteer"
Doctors, Pharmaceutics, Psychologists, among other health workers can become members to our Volunteer Global Telemedicine network.
Become a Hero
How we built it
We use Natural Language Processing models to understand what users are saying and typing... We connect the NLP model to FB Messenger and Whatsapp API to capture Parameters from the conversations and provide the users the best option.
Also, this effort wouldn't be possible with the support of over 100 Developers and Citizens that help us on task's such as Testing, conversational design, communication among others. Their names are: Daniel Rojas Roa (VR/AR Developer), Andrey (Health Coach), Joshua Pedraza (AI Developer) & many other testers of the platforms across countries like: Canada, United States, México, Guatemala, Brasil, Chile, Costa Rica, Colombia, Spain and others.
Challenges we ran into
-Terms of Use of Messenger & Whatsapp for Business API for Emergencies Services.
-Train the model in different areas such as: Feeling Bad or Sick, Feeling ok and looking for news, places or products, and Becoming a Volunteer.
Accomplishments that we're proud of
Whatsapp Virtual Agent: (Testing Instructions):
1- Add the phone number as a contact:
+1 415 523 8886
2- Write the command:
*
Join *
3- Start the conversation: "Hi", "Heeelp", "Let's start" or any other
Open Github Repo to our solution
Terms of Use
What we learned
Contribution with multiple countries to address this pandemic can help us have a better context of the challenges that we share and which one are really different, make a match between them and scale a powerful solution against human main challenges, such as COVID19.
Telemedicine is an effective first filter and allows Medical & Health center's to allocate available resources to those critical cases who really need them. In addition, using remote control terminals, it facilitates the monitoring of chronically ill patients, to whom treatment is provided at home whenever possible.
What's next for Bacty Bot
Build cheap Telemedicine equipment
Empower Doctors across the world
//Disclaimer: Opinions are our own, not of any company, program or their products. Each Developer Expert is fully responsible of their services, and is not affiliated with other Company nor do they offer services on behalf of a Tech Company. Customers are fully responsible for their use of services, if any. This code is a sample, should not be used for any potential production workloads.//
Built With
facebook-messenger
machine-learning
natural-language-processing
whatsapp-api
Try it out
youtu.be
youtu.be
github.com
youtu.be | Bacty Bot | We connect Health Professionals and accurate information with possible COVID19 victims in Europe through WA & Web | ['Camilo Andres Montañez Aldana', 'Leandro Camacho', 'Jorge Grimaldo', 'Piero Divasto', 'Lissa Ng'] | ['Highlighted Project'] | ['facebook-messenger', 'machine-learning', 'natural-language-processing', 'whatsapp-api'] | 102 |
9,927 | https://devpost.com/software/autosales-bot | Inspiration
The coronavirus pandemic is proving to be a disaster for small and medium-sized enterprises across Europe:
Thousands of SMBs in Europe have reported that COVID-19 is negatively impacting their businesses,
"SMBs have already or are planning to lay off salaried employees, and/or reduce their working hours".
The corona Virus has affected Small and medium sized-businesses causing temporary suspension, activity, and employee working hours reduction. Many are struggling to stay afloat. There are about 23 million businesses across Europe that play a major role in the European Economy. Creating about 80% of new jobs in the past 5 years.
Some of us have personally come from a family with small businesses and struggling for the same reason.
Problems we are seeing :
1) Unemployment
2) The decrease in sales, that has led to bankruptcy
3) Lack of marketing and business exposure
4) Remote locations for businesses, products/items/ customers
ChatLaunch is aiming to solve those issues. A virtual assistant that connects small and medium businesses and customers with products and items that are closest in location through Whatsapp & Messenger.
What we are solving:
Customer have access to items/products closest to them
Businesses will increase and generate more sales
Exposure of their local business
Keeping or creating jobs
What it does
We intend to save millions of jobs during the crisis and allow Europe's economic engine to quickly restart afterward, by
connecting local businesses with customers across their country through WhatsApp & Messenger!
Using Natural Language Processing models to identify customers needs, such as quality, prices, products nearest to them
Case #1: Local Business register
Case #2: Customer order from local stores
How I built it
We use Natural Language Processing models to automate the sales process of SMBs; their products and/or services... Then, we connect the NLP model to FB Messenger and Whatsapp API to capture Parameters from the conversations and provide the users the best option.
How we built it
We connect Natural Language Processing models to WA API to capture Parameters from the conversations and data compilation, that will be categorized to understand and identify the user’s needs
Challenges I ran into
-GDPR Compliance
The challenges we faced were that we wanted to make sure that customers would obtain desired items/products from the nearest business and wonder how would this work.
We solve this by having a platform where all customers’ orders appear in one place where business owners would take the order as confirming they have these items/products and process the purchase.
Accomplishments that I'm proud of
We understand that most local businesses lack technology and digital knowledge. We are proud to bring a solution that is accessible and usable by the majority of the population, and business owners taking advantage of this through Whatsapp and Messenger. Helping them digitalize their sales with just typing.
Whatsapp Virtual Agent: (Testing Instructions):
1- Add the phone number as a contact:
+1 415 523 8886
2- Write the command:
*
Join *
3- Start the conversation: "Hi", "Sell my products", "Let's start" or any other
Disclaimer: The following phone number is a Sandbox owned by Twilio Inc, a USA company based in San Francisco, California.
We are also very proud of how well we have worked together regardless of being in different countries and being FROM different cultures and diverse backgrounds.
Our goal is to bring help and make the current situation better, and to prove that we can bring everyone and work together with the same mission
What I learned
On a Vox.com Article states: Based on research performed by capital economics this pandemic could result in a 15% quarterly drop of the eurozone gross domestic product in the second quarter. The previous record was 3.2% in the first quarter of 2009
As a team, we faced many challenges on how to bring solutions to better the economy in Europe since there are a lot of factors to take into consideration.
We had a lot of support a great mentorship and as a team we shared ideas, brainstormed, and did design thinking sessions. We learned and understood better how chatbots can be very beneficial for businesses now more than ever.
We are confident that ChatLaunch will make a positive impact on small and medium-sized business
What's next for Chat Launch
We will build a platform, marketplace for small businesses to be able to manage their sales as they increase thanks to this platform
We are looking to build a network of businesses and customers where they can easily get what they need and want.
-Partnering with thousands of SMBs across Europe
Which organizations our project could potentially benefit?
We thought of what would be the best technology to access the masses, so we developed a virtual assistant that runs on FB Messenger, with 1.3 billion monthly active users & Whatsapp with 1.5 billion monthly active users. Small and medium-sized businesses, family-owned businesses, and general consumers.
//Disclaimer: Opinions are our own, not of any company, program or their products. Each Developer Expert is fully responsible of their services, and is not affiliated with other Company nor do they offer services on behalf of a Tech Company. Customers are fully responsible for their use of services, if any. This code is a sample, should not be used for any potential production workloads.//
Built With
javascript
natural-language-processing
Try it out
youtu.be | ChatLaunch | Automating the process to generate and increase sales for local Small & Medium Businesses (SMBs) through WA | ['Lissa Ng', 'Camilo Andres Montañez Aldana', 'Piero Divasto', 'Jorge Grimaldo', 'Leandro Camacho'] | [] | ['javascript', 'natural-language-processing'] | 103 |
9,927 | https://devpost.com/software/educat | How 3D models look
Dynammic labelling
Inspiration
COVID-19 pandemic has disrupted the education system. With educational institutions closed for months, students are finding a hard time to cope up with the situation.
In the absence of the traditional form of education, educational institutions are turning to virtual education.
Though problems with virtual classrooms are that there is less interaction with the teacher which result in lack of concentration.
With augmented reality, students can find interesting ways to study. dynamic models, audio and labels help students to understand concepts better.
The AR app contains syllabus of various subjects.
What it does
EDUCAT aims at providing fun and interesting learning using augmented reality models. With educational institutions being shut, it has become difficult for students to understand topics through video lectures.
EDUCAT provides effective learning with dynamic 3D models, audio explanation and dynamic labelling which would be quite difficult to understand with complex 2D diagrams.
EDUCAT would consist of EDUCAT AR APP and EDUCAT website. On scanning the images on the website with the app, students can learn various topics across various fields with augmented reality.
How I built it
Technology Used
To make EDUCAT APP- Unity, Vuforia, C#
To make EDUCAT Website-HTML, CSS
Challenges I ran into
Finding 3D models was a difficult task, it took us days to find compatible models which were needed for the project.
Accomplishments that I'm proud of
We were thrilled about our final product. It is one of a kind project and never been made on such a large scale. We are happy to utilize augmented reality technology.
What I learned
I learned to make a complete augmented reality project, with C# scripting to add multiple features.
What's next for Educat
Our Future Aims
Fetch contents about the topics from cloud servers.
Make a discussion forum where students can ask and answer doubts.
Multiple language support.
Built With
c#
css
html
unity
vuforia
Try it out
github.com | Educat | Learn with AR. | ['ashutosh chatterjee', 'Arun Pratap', 'Akanksha Yadav'] | [] | ['c#', 'css', 'html', 'unity', 'vuforia'] | 104 |
9,927 | https://devpost.com/software/no-food-waste-ifvjcz | Inspiration: I was inspired to do this project one day when I was at a grocery store with my dad. I was heading to pick some yogurt cups when I found out the ones I had picked were over a week expired. This got me thinking; how much food do supermarkets waste? After some research, I found out that supermarkets waste about 43 billion pounds of food, and that's just in the United States. For this reason, I wanted to build an app that was able to alert supermarkets about near expiry food, allowing them to donate it to food banks or needy people. Also, I wanted to build the app so that households could prioritize items that expire soon and consume them rather than letting them expire and go to waste. Additionally, I made a website so that local food banks and supermarkets could communicate (by submitting forms) and be paired to ease the process of food donations. One of the problems that many people face during this pandemic is not having or being able to afford food. The supply food banks have are getting exhausted with the increased number of people who need food, and food banks desperately need more food to give to people. I believe that with this app, not only will we be able to cut down on food wastage, we will also be able to provide this food to those who need it the most.
What it does: Supermarkets: When people shelf items, they can scan the item's barcode with my app, enter the item's expiry date, and the quantity of the same item. With this, the app stores all the items into a product list, where it stores the UPC (barcode), date of expiry, the product's name (which it retrieves from the barcode), the product's quantity, and the product's image. Then, the supermarket managers can run a query on the product list, entering a date, and it will return all of the products that expire either on or before that date. Supermarkets would be okay with donating these foods as consumers would not want to buy near expired products and it is better for them to be consumed by the needy and hungry rather than letting them become expired and ending up in the landfill. Also, if many supermarkets use this app, the government could recognize their efforts and give tax breaks as well. Finally, all supermarkets using this app will gain a lot of publicity for their work to reduce food waste, and will also be featured on my website. Households: In America, households waste approximately 31.9% of the food they obtain. By using the app, households will be able to scan all of the items that enter their house and run expiry reports in order to learn what products are expiring soon. With this knowledge, they can prioritize these foods for consumption, cutting down on their food wastage and saving them money in the process, as they will buy less food from supermarkets. The less food that they buy from supermarkets, the more food that can be donated to those who need it the most.
How I built it: The app uses a barcode API, from which it can obtain the product's name and image. The website was made using WIX and helps food banks and supermarkets connect to start the food donation process.
Challenges I ran into: The main challenges I ran in to were querying the product list, as it required a lot of logical thinking and trial and error.
Accomplishments that I'm proud of: Some accomplishments I am proud of was creating an app where I learned and used a lot of new functions I have never tried before and integrated an API into my app. Also, I have never built a website using WIX before, and I was very happy to see how it had come out.
What I learned: I learned how to create advanced apps and also how to create websites (with the help of WIX).
What's next for No Food Waste: Through funding, I can purchase the premium version of the barcode API, as right now, it only allows 100 searches a day per device. Also, I can create a more user-friendly platform with better UI and integrate more query features, but time constraints did not allow me to do so. I can definitely make the website more professional (with funding I can upgrade my account and buy my own domain) and can also make this app available on iOS devices.
What have I done during this hackathon: I have had the idea for this project for some time, and recently created an app, but this app was completely not functional and had a terrible UI. Also, it didn't have many of the components I planned for it to have. For this reason, I created a whole new app and a website to go along with in order to implement all of the functions I desired my solution to have.
Built With
barcode-scanner
upcitemdb
wix
Try it out
nofoodwaste.wixsite.com | No Food Waste | My idea is to provide an app and website with which supermarkets and households can use in order to eliminate food waste by consuming near expiry items or donating them to food banks or needy people. | ['Sarang Goel'] | [] | ['barcode-scanner', 'upcitemdb', 'wix'] | 105 |
9,927 | https://devpost.com/software/ai-jiku | Hi say
Inspiration
What it does
https://devpost.com/software/ai-jiku/joins/eJHFwspyLcnKgyeC3bKwxg
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for AI jiku
Built With
100-facts-about-me
18amail | AI jiku | AI jiku | ['Jiku'] | [] | ['100-facts-about-me', '18amail'] | 106 |
9,927 | https://devpost.com/software/uniso | Video Portal module
Social sharing module
Inspiration
I created this project inspired by the lack of communication between teachers and students at our university.
What it does
This project creates a social network in an adapted form for educational institutions. It is easier for students to find teachers, ask them questions, get textbooks from them. Teachers and students can video chat and text each other.
How I built it
I built this project on the core ASP.NET Core technology. On the other hand, I used Angular technology.
Challenges I ran into
It was not easy to properly transfer the project to the production environment. Security issues were also a problem.
Accomplishments that I'm proud of
The project also includes a video sharing platform, which I am proud to have created.
What I learned
I learned to use WebRTC technology.
What's next for Uniso
I think the next step for Uniso will be a live video streaming feature.
Built With
angular.js
asp.net
entity-framework
peerjs
Try it out
aztu.prostudy.club | Uniso | The internal social network between students and teachers in high schools for improving communication and education level | ['Ferman Quliyev'] | [] | ['angular.js', 'asp.net', 'entity-framework', 'peerjs'] | 107 |
9,927 | https://devpost.com/software/telemedml | TeleMedML Logo
TeleMedML System Architecture
Deep Neural Network Diagram
TensorFlow Machine Learning Shell Output
iOS App Login Screen
iOS App Patient Welcome Screen
iOS App Historical Transactions
iOS App Report New Symptoms
iOS App Results Page With Start Call Option
Website Transaction View
Inspiration
With the recent COVID-19 pandemic, the healthcare industry has been subject to unprecedented amounts of strain. Hospitals worldwide have been filled beyond capacity, and numerous medical professionals are being worked to exhaustion. As a result, any innovation that has the potential to save time, reduce exposure to the virus, and secure personal medical data in the process has the potential to save countless lives.
What it does
TeleMedML provides a basic disease diagnosis for a user given a list of their symptoms. The user first selects which symptoms they are experiencing from a predefined menu. This information is then passed into a deep neural network, which analyzes the given data using a trained model, and returns the diagnosed disease as well as a confidence score. The user can also enter a short list of phrases describing their symptoms, which are sent to the server and analyzed using natural language processing, returning a diagnosis. Each data transaction is added to a series of pending transactions, which are subsequently verified using a proof-of-work algorithm and annexed to a block in the blockchain.
How we built it
App
The iOS app begins with a secure login and signup page for users. Patients are able to view the entire history of previous transactions encrypted with SHA-256 hashes and secured on a decentralized blockchain network. A user is also able to fill out a symptoms form and write additional symptoms, which is encrypted and sent to the server for analysis. If the returned values indicate a potentially significant diagnosis, a doctor and patient are connected for real time communication, ensuring that a doctor’s valuable time is spent on those who need them the most.
Server
The flask-based server handles secured requests from clients and encodes all data points into blocks for storage in the blockchain network. Every time a client-side transaction occurs, the data is given a unique hash, encrypted, and linked to a previous block, chaining the data set together. A recursive algorithm was developed to work backwards through the blocks and decrypt the transaction data to securely access the full data set.
Alongside the server, a novel TensorFlow-based deep neural network machine learning model was also built and trained on a relevant data set. The data is reshaped on a 0 to 1 scale, regularized, and sent through 4 layers of decreasing node counts with relu and sigmoid activation functions to predict disease diagnoses based on inputted symptoms. This prediction was combined with Amazon Comprehend Natural Language Processing algorithms to analyze the connotation of written symptoms to quantify the severity of the diagnosis.
Website
A website was built as a healthcare portal to view all transactions made by clients. After a secure login, doctors are able to view a table containing full transaction data accessed and decrypted from the server using the recursive data access function.
Challenges we ran into
One of the issues we encountered early on was establishing the infrastructure for the blockchain. Most of our group had relatively little experience with blockchain prior to the project, so figuring out how to implement each block, compute its hash, and connect it to the overall blockchain with a proof-of-work validation algorithm was challenging. Another difficulty we ran into was with sending requests to the server. We received internal server errors since the server we were hosting on was outdated and insufficiently large for the TensorFlow modules that our program incorporated, so we updated the server’s Python environment and upgraded its storage capacity.
Accomplishments that we’re proud of
We are extremely proud of being able to successfully configure and train a deep neural network with an expansive dataset. This allows us to more accurately tailor the user’s diagnosis to his or her individual symptoms, creating a more personalized experience. We are also proud of managing to create a decentralized blockchain network using Python and encoding each transaction through a cryptographic hash function based on the current data and previous hash. The chaining functionality and the proof-of-work algorithm were also difficult to implement, so it was rewarding to be able to do so.
What we learned
Given the current circumstances with the pandemic forcing us to work remotely, we had to learn how to communicate effectively and collaborate virtually in order to produce the desired end result. We also learned about the workings of blockchain technology, including the hashing and validation algorithm involved to ensure the security of the chain.
What's next for TeleMedML
There are several future options that we can pursue with TeleMedML. Among these is the creation of a convolutional neural network that can analyze user images. The addition of this feature would be useful in diagnosing diseases with physical symptoms, broadening the abilities of our detection software. We could also integrate the project with certain hardware components, such as sensors that would measure the user’s heart rate, respiratory rate, and other vital signs to improve diagnosis accuracy.
Built With
ai-applied-sentiment-analysis
amazon-ec2
amazon-web-services
blockchain
flask
keras
machine-learning
python
sashido
swift
tensorflow
Try it out
github.com
telemedml.macrotechsolutions.us | TeleMedML | A mobile application that employs machine learning and AI-applied sentiment analysis to assist in the telemedical diagnosis of respiratory illnesses through a blockchain-secured backend. | ['Jack Hao', 'Elias Wambugu', 'Sai Vedagiri', 'Arya Tschand'] | [] | ['ai-applied-sentiment-analysis', 'amazon-ec2', 'amazon-web-services', 'blockchain', 'flask', 'keras', 'machine-learning', 'python', 'sashido', 'swift', 'tensorflow'] | 108 |
9,927 | https://devpost.com/software/covid-hero | chifa - the covid hero chatbot
web page
chatbot chat session
Inspiration
Since the outcome of fast-growing pandemic Covid-19, it has become important for us as an individual to keep a minimum distance from other well beings that we call social distancing. It has become important to know the precautions and so one may face many doubts and queries related to COVID. To keep us aware and to answer the COVID related queries we have developed a chatbot called COVID-hero that will guide you throughout this global disaster.
How we built it
This app lets you know the coronavirus cases in your country. It’s more than statistics, it’s also helped the user to know what the Do’s and Don'ts in this pandemic are. It also helps to know the symptoms of COVID-19.
Permit to the invalid persons (blind or illiterate) scan QR and that 'll read for us the notice
Remember the drugs taking time for persons who's has Alzheimer for example
There is also an option for self-screening. You can use it to test yourself whether you have coronavirus or not.
Challenges we ran into
This project deals with API and Dialog flow. API will let you the exact data of the country. Most members we new with dealing with API. They were knowing what API means but didn't do a practical project. This was taking time busting for us. Most importantly, we were having time timezones so our coordination was not establishing among each other. This project needs a lot of attention.
Accomplishments that we're proud of
At last, we planned our whole work which team members have to do what. Due to timezone, we establish a common time we all met and discuss our work. We successfully created the chatbot with teamwork and consistency. As most of them never experienced any hackathon. Everyone shows their teamwork and at last created our project at best.
What we learned
With teamwork we accomplish our project. We learn team collaboration and remotely working. We all learn new technology like trending one chatbot. We learn HTML/CSS and javascript. We deal with APIs and dialog flow. We know how the frameworks work. The most important thing we learn consistency and teamwork which makes this project successful. Our connections increased with this hackathon.
What's next for COVID-hero
We are planning to introduce this website on a large scale. We will be adding more features like Doctor consultancy, showing data through graphs, and informing the nearest hospital with an SMS. We will work on the website and make it more useful by adding a sign-in feature. We will also create a chatbot for the hospital. With data collected we will make more usefull and more intelligent the chatbot to permit anticipate users illness.
Built With
css
dialogflow
html
javascript
node.js
Try it out
covid-hero.herokuapp.com
github.com | covid-hero | BE AWARE STAY SAFE WITH YOUR TRUE COVID-FRIEND --Covid-hero | ['SOULEYMANE TOURE', 'Rahul Sinha', 'Subhayu Kumar Bala', 'apmit2704 Mittal'] | [] | ['css', 'dialogflow', 'html', 'javascript', 'node.js'] | 109 |
9,927 | https://devpost.com/software/surveg | Inspiration
It's always a hard encounter to think of all the needs awaiting for you. With the pandemic, there is little to do for a living. You can't reach out for more jobs. The payments are reduced. Hence you ought to think of the best way to meet your needs. Think of earning at home and making everything work out. Let all your work be done. Irrespective of the challenges, all is poasiblw
What it does
The project here helps you to meet all your needs. You don't have to go against the government rules and regulations on lockdown and restricted movement. You can have everything done at your home place
How I built it
I had to come up with a team of proficient writers who have the best experience in writing as well as good language command. This has helped in having the best services at hand.
Challenges I ran into
The main challenges here is that not all the clients are honest and some delay in their payments. This has made it hard in payments for the writers.
Accomplishments that I'm proud of
I have increased the number of writers as well as meeting new clients. I have a large coverage as well.
What I learned
I have learned the best social skills that helps me in building a bigger team
What's next for Surveg
We are planing to increase the coverage area to meet international needs and provide international services.
Built With
usa-today
Try it out
www.facebook.com | Askipko writing services. | For the best article and academic work, a simple call is a solution. Get the best services at affordable cost. For all your blog post as well as influencer assistance | ['Asbel Kipkoech'] | [] | ['usa-today'] | 110 |
9,927 | https://devpost.com/software/oracle-fusion-financials-online-training | Oracle Fusion Financials Online Training | Oracle Fusion Financials Training | Hyderabad
Rainbow Training Institute having best instructors for Oracle Fusion Financials Online training and it is well known for providing all Kinds of oracle fusion technologies through online and it is stepping forward in providing best Oracle Cloud Financials Online Training in Hyderabad, Bangalore, Chennai, Noida, Delhi, USA, UK, UAE, Saudi, Europe, India, Canada. Complete Suite of oracle fusion financials training videos.
Built With
oracle
Try it out
ww.rainbowtraininginstitute.com | Oracle Fusion Financials Online Training | Oracle Fusion Financials Online Training | Oracle Fusion Financials Training | Hyderabad | ['shaik imam basha'] | [] | ['oracle'] | 111 |
9,927 | https://devpost.com/software/shoostress | Landing screen, Watch full video demo on https://www.youtube.com/playlist?list=PL28FEy_b-QP5XeFSWTGxCbFE3jgKx5WsE
Mood Manager Screen
Mood Journals
Mood Journal - Detailed
Mood Journals - Calendar View
Create Mood Journal - Pick a date
Create Mood Journal - Pick your mood
Create Mood Journal - Pick the reasons
Create Mood Journal - Elaborate on the thoughts
Create Mood Journal - Reflection of the day
Create Mood Journal - Pick a journal name
Create Mood Journal - Creation of journal successfully
Mood Trends - Weekly
Mood Trends - Monthly
Mood Thoughts Insights - Daily
Mood Thoughts Insights - Weekly
Mood Thoughts Insights - Monthly
Facebook Camera Games
Inspiration
As you know nowadays the world is getting competitive, students have to work even harder to master skillsets and get a decent job in the future.
There has been a case that a primary 5 student attempted to commit suicide due to his exam results was not ideal for the first time. This has shown how much stress can lead to.
In the midst of a pandemic, mental health is also as equally important as physical health but yet it's always being neglected. Students are feeling demoralized from studying at home as they are not motivated and disciplined enough to study at home. They can't meet their peers at school, can't enjoy good food at the school canteen.
This may not be the best/effective application to help students with stress and mood management, but we still do our part to contribute to making a better world.
What it does
ShooStress is an iOS application which aims to help students to manage their stress and mood.
It allows them to log their mood to their mood journals, visualisation of their mood trends and Facebook Camera Games for them to take a break from studies.
There is a Mood Manager feature for students to note down their happenings to the mood journals. They can also visualize their mood trends based on their mood journal entries to know more about the insights of their mood. Text Analytics is used to understand what they are revolving with based on their journals. An Interactive unique Facebook Camera AR games are also included for students to have some fun to relax.
By using the insights and visualization of their mood and thoughts, they can better identify what they can do to feel better and motivate themselves in the midst of a pandemic.
How I built it
Swift 3/4 as the programming language
CocoaPods library to make development easier and faster.
Firebase is used as the database for this project.
Facebook Login is used for this project.
Xcode as IDE (Text Editor)
Selected Facebook Camera Games is integrated with my application.
Challenges I ran into
Using CocoaPods library frameworks is tough as I had to modify and develop the chosen library frameworks to my specific needs.
Accomplishments that I'm proud of
During the outstanding presentation for this project in my school, there's another candidate said that she would actually download to use the app as it is something that will really benefit her.
Lecturers also said that my application's UI and UX is the cleanest and neatest among the outstanding presentation candidates.
Most importantly, during my depressed period, I actually used this app to manage my mood and stress to know the insights of my thoughts. Then I convey these insights to my school counsellor and she actually gave useful advice to me such as "when there's negative, there's positive. If you think of negative stuff, think of the positive stuff to neutralize it." This advice is one of the best advice she gave to me and till now I still use it.
What I learned
I have learnt that with great power, it comes with great responsibility. Since I am powered with tech and programming knowledge, I will want to impact the world positively and contribute to the world/society using my power.
What's next for ShooStress
There are plans to make the app mobile responsive and make it android available.
Built With
cocoapods
facebook-camera-games
firebase
ios
microsoft-cognitive-services
swift
text-analytics
Try it out
github.com | ShooStress | "Shoo" simply means chase away. ShooStress is an app that is catered for troubled students to better manage their stress and mood. Mental health are as equally important in the midst of a Pandemic. | ['Lukas Lee'] | [] | ['cocoapods', 'facebook-camera-games', 'firebase', 'ios', 'microsoft-cognitive-services', 'swift', 'text-analytics'] | 112 |
9,927 | https://devpost.com/software/litfit | Login Screen
Achievements
Calorie Calculator
Tips and Health
Resources
Steps/Main Page
LitFit Wearable (M5StickC)
Heart rate and blood oxygen level sensor
Inspiration
Obesity is one of the deadliest killers in society today. About 1.9 billion people over the age of 18 are overweight: 1/4 of the entire planet and 650 million people out of that 1.9 billion being obese. Obesity alone causes
2.8 million deaths every year
. It is safe to say that obesity is one of the most common killers of today, and is overlooked heavily by people. We sought to facilitate weight loss and encourage healthy living by creating a product that encourages you to be mindful of your daily activity. During the lockdown, people are more sedentary than ever. LitFit aims to eliminate a sedentary lifestyle and encourages users to adopt a healthier lifestyle.
What it does
Our app has multiple features that all are geared toward adopting a healthier lifestyle, whether it be through increased exercise or better eating habits. Our app tracks your movements and exercise using Step tracker, which tracks your daily, weekly, and total steps. Total steps are then translated into Exercise points, which earn you achievements, giving the user a sense of accomplishment, motivating them to live even healthier and be more active. The Calorie Calculator utilizes a novel Machine Learning algorithm to detect the food calories as well as the type of food given an image, which is uploaded by the user. The Health tab tracks your pulse and oxygen percent saturation, as well as gives you tips on how to live a more active lifestyle: the three golden rules of LitFit. We also provide useful resources on quick workouts that the users can quickly jump. All of these features contribute to an amazing application that promotes healthy living.
How we built it
We build the front end entirely out of flutter, a multiplatform mobile application SDK.
The hardware base for this project is an M5StickC microcontroller. The M5StickC has an ESP32 as its base with an in-built 6 axis IMU sensor. The IMU takes the accelerometer and gyroscope reading which are then used to calculate the number of steps taken by a user. External hardware plugins were also used to gather surrounding data. These sensors provide us with ambient temperature (outside temperature), Ambient Humidity, Ambient air pressure, and heart rate (pulse). All the reading from the wearable device are then relayed to an open-source mobile app giving the user a real-time data with a user-friendly interface
The backend servers are implemented as APIs running on a virtual server and using MongoDB as the primary database.
Challenges we ran into
One challenge we ran into was uploading the image onto a server. James, the frontend designer, had trouble figuring out how to stream the data back from the output of the backend into the UI asynchronously, however, he figured it out after a few hours of trial and error.
M5StickC is a 2019 product, there is little to no online support for troubleshooting. Working with such new hardware and navigating through its library to get useful functionality out was a huge challenge.
Accomplishments that we're proud of
We are proud to actually accomplish what we set out to do in the beginning. Our initial goals were to build the ML algorithm for calorie detection and track steps, heart rate, and blood oxygen. However, we went above and beyond our initial goals through hard work and implemented further capabilities, such as the achievements page, login, additional resources, inspirational quotes, and more. Linking up the hardware with the software felt amazing because it seemed like everything was clicking into place.
What we learned
I learned a lot about how servers communicate with clients. I learned how to use HTTP get and post requests, as well as sending images to a server in a multipart server request. I also learned how to create a better and simple UI for a better UX. - James
What's next for Lit Fit
We hope to develop LitFit further to be more lightweight, as well as polish the Front-end and add more features. Some of the features are not fully functional, such as Login and achievements, but those features can be implemented with more time. We believe LitFit can actually be a revolutionary weight-loss miracle product and hope to pursue that goal of promoting a healthy lifestyle.
Built With
arduino
flutter
mongodb
python
Try it out
github.com | LitFit | Revolutionizing Weight Loss Tactics | ['James Han', 'Muntaser Syed', 'Dayna AC', 'Prashant Bhandari'] | ['Best Health Hack'] | ['arduino', 'flutter', 'mongodb', 'python'] | 113 |
9,927 | https://devpost.com/software/artificial-intelligence-in-smart-homes | Project name- AISH-Artificial Intelligence in Smart Homes
Subtopic-A smart homes trying to give luxury and comfort at less cost and on the other hand trying to save maximum energy including every little thing to help and save the poor people as well as the nation.
Efforts by- Akshat Sharma
ABSTRACT
Resources present in the universe are limited therefore it is the need of the hour for its smart and precision usage. India is a country of diverse groups of people and most of them are poor and so serving them is like serving the nation. Research shows that people are investing a lot but still are not able to find perfect solutions for the problems they face. Instead, they are facing a lot more problems than before and depleting energy resources. So, by deeply analyzing the problems people generally face like leaving their doors open, lights and fans switched on and even face problems like getting their floors filled with a lot of water due to heavy rain causing a lot of damage and unnecessary wastage of electricity. Some people also have many plants at their home and leave them without watering when they go out for a vacation due to which the plants dry up and eventually die but as we know to every problem there is a solution so I came up with an innovative idea of a smart home by using the micro bit hardware which is a cost-effective and state of the art technology. It is a one-stop solution for all the problems, comfort, and luxury one needs. My smart home has a smart light that works on your voice command and controls the intensity of light according to the number of people in the room to save electricity. It also has a smart fan that is temperature regulated and operates automatically according to one's needs. It also includes a smart water alarming system that if senses any water getting filled in any corner of the house drains it automatically so that it does not fill in the house preventing damages. I also developed a smart plant watering system that automatically senses the needs of the plants and provides it water whenever necessary. So my smart home is having every application to satisfy one's need but that is not all, I think we missed something yes security that is the need of the hour so I integrated the smart amazon, Alexa, with my smart home that is connected to each and every appliance and warns us whenever any appliance is wasting energy or when it is left open. It also tells us the efficiency of every application in the home. My smart home also has a security feature that can track all our family member's locations with real-time data tracking ensuring they are safe and secure all the time. So, I feel now I am saving a lot of energy but what is the use of it if it cannot help anyone else in the nation so as the owner of my product committed to using all my saving like from the biodegradable waste I will make a biogas plant and supply the gas connection to the poor slum areas the fertilizer and manure I get as an output I will give it to the farmers and the saved electricity will be given to the one in need through my generators finally the saved water from RO system and my water alarming system will be treated and sent to the one in need. By doing this noble cause I feel I can do a small contribution from my side to save my nation
Built With
amazon-alexa
artificial
intelligence
microbit
Try it out
drive.google.com
prezi.com | Artificial Intelligence In Smart Homes | AISH the future of homes the father of all technologies | ['akshat sharma'] | [] | ['amazon-alexa', 'artificial', 'intelligence', 'microbit'] | 114 |
9,927 | https://devpost.com/software/vox-of-life | Sign Up
Time to Talk Notification
Text Confirmation
Voxers on call
Wireframe
People are by nature social creatures. These past few months of having to isolate and distance yourself from others has been extremely difficult, both physically and mentally. In today’s world, communication and social contact are a huge part of daily life, larger than they have ever been before. This situation happened so quickly, and it may continue indefinitely. We believe that one can abide by the ‘new normal’ and still maintain social contact by using Vox of Life.
In Latin, the word ‘vox’ means ‘voice’. Vox of Life strives to be the ‘voice’ that can be used to initiate, maintain and communicate with others in a safe, controlled environment by the use of the Vox of Life app. The Vox of Life is an opportunity to socialize with others with the same interests, hobbies in you choose, or with someone else who may just need to talk and hear another human voice.
What are you interested in accomplishing? What might be reasonable to accomplish?
Encourage spontaneous meaningful interactions between all walks of life
Reduce impact of social isolation
Make conversing with new people comfortable
Encouraging extroversion in a time where we’re all distanced
Is this something you want to do within the timeframe of the hackathon only, or are you interested in working on this after the 12th?
The effects of COVID-19 are far reaching, and mitigating the effects of social isolation is our goal. We believe we can do this by connecting new people on 1:1 phone calls to meet new walks of life. Even after the curve is flattened and social interaction becomes safer, we will be transitioning our efforts to continue reducing the impact of social isolation, and creating ways for improved communication between individuals and groups.
What is your bandwidth to contribute?
We, the members of this team, are extremely passionate about our mission and are currently balancing this initiative with full time professions. We are capable of supporting this initiative but are seeking support to ensure our mission continues to have a greater impact.
Who is on your team? Please describe your background and why you’re the right person/team to work on your idea.
Magus
Software Engineer
Design thinker
Social enterprise enthusiast
Right person: I like to make things, and also love to make things better.I aspire to work and make products that can create lasting social impacts globally
Shiv
Client facing
Biomedical engineer
Health focused
Right person: I desire to make an impact that can positively affect people and improve the way people see the world and others
Sam
Marketing Specialist
Client facing
Right person: I have a desire to network with others and get to know other people and Vox of Life is heavily geared toward networking
Patrick
Full stack developer
Highly competent in multiple technologies
Right person: I am not a fungus, I am a fun guy and I like building fun tech
Inspiration
Vox of Life was inspired after noticing heavy the toll self-isolation was putting on the mental health of friends and closed ones. Social distancing and self-isolation don't have to mean loneliness and silence. VOL's on the mission to encourage people to have meaningful social interactions, while still practicing safe social distancing. We enable this by pairing different walks of life to each other through just a voice call and simply by the time they both are available.
Built
To rapidly execute on this mission, the proof of concept initially was "pretotyped" with a combination of traditional software engineering frameworks (NodeJS/Nest) and even no-code tools (Zapier, Airtable, Wix). We used NestJS to build our matching algorithm and backend server, and used the no code tools to build our frontend. The first prototype was complete in the first half of a weekend, and the private beta started the very next day. A lot was learned from our testers and the project went through multiple iterations over the course of the trial very quickly.
Challenges
Initially, VOL calls only worked over the web on desktops. Multiple testers provided feedback to make it also accessible over their mobile devices. In less than a week's time, the testers were able to dial-in to their calls.
Future
Nursing Homes
Build relations with nursing homes, to allow the isolated elders to have one on one calls with volunteers
Slack
Integration for Slack, where users can have spontaneous one on one interactions with in their existing communities
Built With
airtable
html
javascript
nestjs
sendgrid
twilio
typeform
wix
zapier
Try it out
voxoflife.com
instagram.com
github.com | Vox of Life | VOL encourages people to have meaningful social interactions, while still practicing safe social distancing. We enable this by pairing different walks of life to each other through just voice. | ['Magus Pereira', 'Patrick Luy'] | [] | ['airtable', 'html', 'javascript', 'nestjs', 'sendgrid', 'twilio', 'typeform', 'wix', 'zapier'] | 115 |
9,927 | https://devpost.com/software/eleutherios-alpha | Linear supply chain that scales or aggregates the service or supply chain
Circular supply chain that scales or aggregates the request or conversation
Aggregating, scaling or serializing a circular supply chain or process using a computer or Turing machine.
Eleutherios
Eleutherios (
https://eleutherios.org.nz
) is a platform that makes it easier for people or businesses to cooperate with one another or serve their customer's through a common forum or request.
Problem
The current human supply chain is linear or tries to scale the service or work that people or businesses are performing. For example, if a person was hungry and had $10 to buy food, they might order online and spend $5 on a pizza, $2 on a drink and $3 to have the items delivered to their house.
In this scenario the person can only scale their request or conversation for food, three times. Once for pizza, a second time for a drink and a third time for a delivery service.
The problem is the financial supply chain is forcing the food and logistic supply chain into a linear or one-to-one relationship with the service and the request.
request = $5 (finance supply chain) for pizza (food supply chain)
request = $2 (finance supply chain) for drink (food supply chain)
request = $3 (finance supply chain) for delivery (logistic supply chain)
Solution
Serialize or circularize the supply chain by scaling the customer's forum, request or conversation that they are having with people or businesses, not the service or work that they are trying to perform.
For example, if a person was hungry and isolated at home, they could register with Eleutherios and create a forum for some food. A food store owner could register as a service in the system and subscribe to the forum and ask the person what food they wanted? The food store owner could gather the food from their store and scale the forum by creating a sub-forum for a healthcare worker to help with the delivery of the food. The healthcare worker could scale the sub-forum again and create another sub-forum for a delivery service and accompany the delivery service and be the person that delivers the food to the isolated person.
In this example, it is the forum or request that is being scaled, not the service or work that people or businesses are performing. By delegating the forum or request to services in this way, means that more than one service or supply chain (i.e. civilian, food, healthcare and logistics) can participate in the forum or request at the same time.
Features:
Forum in forum (sustainability/manageability).
Tags for filtering forums or services (searchable).
Alerts to keep users informed when new forums or services are created in the system (notifiable).
Blocking to prevent unwanted services or users from serving in forums they have been asked not to serve in or for requesting services, they have been asked not to request (accountability).
Service reviews (accountability).
B2B or shared processing (scalability).
AI (automatable).
Eleutherios is built with an HTML/javascript (Angular) frontend and node.js (nosql/firebase) backend.
https://eleutherios.org.nz
Discuss or provide feedback.
https://www.facebook.com/groups/2982366048442234/
Help fix bugs or resolve issues.
https://github.com/aletheon/eleutherios-alpha/issues
Make a donation to the Eleutherios open source project.
https://opencollective.com/eleutherios
Built With
circular
css
html
javascript
supply-chain
typescript
Try it out
eleutherios.org.nz
github.com | Eleutherios | Global cooperative forum or supply chain | ['Rob Kara'] | [] | ['circular', 'css', 'html', 'javascript', 'supply-chain', 'typescript'] | 116 |
9,927 | https://devpost.com/software/coin-finder | Thumbnail
map+outside
Inspiration
Back when it was popular, I loved to play
pokemon go
, so I wanted to make an application similar to it, that gets people to exercise outside while having fun.
What it does
The app randomly generates coins outside
(10,000 coins within 5 miles in every direction)
and when you walk close enough to a coin, you pick it up. The goal is to pick up as many as possible. When you get 100 coins, you beat the game.
How I built it
I used the google maps api and vanilla javascript.
Challenges I ran into
My first plan was to do the same thing with ar, with coins appearing as you point your camera, however that didn't work well, so I switched to using google maps. I also had to learn the google maps api since it was my first time using it. Moreover, testing the program became very time consuming since I had to upload the code to my phone, then go outside and collect coins whenever I was troubleshooting the program. I also wanted to upload the code to a website, however the geolocation only worked on a secure website, so I resorted to using codepen to host the code.
Accomplishments that I'm proud of
I made a way to motivate people to go run outside and be more in touch with their community and the environment.
What I learned
I am now a lot more adept at the google maps api, so if I ever use it in the future, it will be much simpler.
What's next for Coin Finder
Depending on interest, I may upload it to my website (but first I need an SSL certificate on it). I would also add more applications and possibly try incorporating AR capabilities again.
Built With
codepen
google
gps
javascript
map
Try it out
codepen.io | Coin Finder | Collect as many coins as you can on google maps by running around. | ['ram potham'] | [] | ['codepen', 'google', 'gps', 'javascript', 'map'] | 117 |
9,927 | https://devpost.com/software/deploysmart-evj061 | Dashboard
Mobile Application for Staff
Introduction
Despite 1.75 million cases of COVID-19 in the US and more than 60% of states saying they need emergency health care support that need, 1.4 million health care workers lost their job in April. U.S. hospitals and health systems are predicted to take a $200 billion hit by June. Since labor costs account for a large part operating expenses, hospitals and health systems have to layoff healthcare workers. With fewer providers to care for sicker patients, health care workers are demonstrating high rates of burnout. Burnout in turn has been associated increased medical errors and worse patient outcomes.
There is also a significant disparity of available staff and staff needs. Illustratively, in New York, although it has the second largest number of physicians across the USA, there is a shortage of providers in areas with large populations, with a distribution of staff not aligned with the patient population.
Purpose & Motivation
DeploySmart is focusing on deploying staff smartly to provide the best care during COVID-19 and beyond.
How this application works
DeploySmart benefits hospital systems by streamlining shifts, health care workers by simplifying scheduling, and ultimately patients by ensuring adequate staff to care for them, therefore saving lives. Our platform provides a predictive analytics-based decision making tool for hospital providers, to decide whether they need to source staffing or can outsource their own staffing to units or hospitals in need. The hospital needs are analyzed based on the COVID-19 condition & the hospital capacity.
Our machine learning algorithm works by first identifying hospitals within the same system that needs additional staffing. We deploy staff by calculating a utility score which is based on specialty, shift preference, language proficiency, and individual profiles.
There are 2 core use cases - allowing hospital administrators and CMOs at command centers to view and dynamically allocate staff, with our platform collecting the data together, applying our algorithm and providing a view to the administrators; and to automatically allocate staff based on administrators' preferences. This allows for adaptive resource allocation, learning as the parameters change and updating to provide the best allocation. Health care workers will then receive push notifications to their device if they are redeployed to another area based on their indicated preferences.
Based on our calculation, automation of scheduiling saves hospitals over 20% for scheduling per year, $3.600 per year in saving per staff and increase healthcare quality since it allows additional 200 hours time per staff for patient care.
How this application was developed
We are building the application using Angular and Javascript. Database was developed using SQL. We will be developing the ML algorithm. Currently, our prototype is publicly available in Figma.
Difficulties & Challenges you faced
Our challenge is to get representative data for our use cases, as hospital data is not widely available, Currently, we are using county data to show how our model works.
Go-to Market Strategy
The app will follow tiered-subscription model. We estimate to break-even operational cost in early Year 2 of the business. Our marketing channel would be industry conferences and social media.
In the future, DeploySmart is not only a solution for the health care sector as we move into the new normal way of working but for a wide range industries. Same as in the hospital sector it takes training to move people between insitution, therefore DeploySmart will provide a diversification and offer training to instantly place staffing across institutions.
Built With
angular.js
machine-learning
node.js
predictiveanalytics
sql
Try it out
www.figma.com | DeploySmart | A platform aiming to enable hospital administrators to redeploy health professionals based on predictive analytics of staff shortage between units and hospitals networks. | ['Artem Liebenthal', 'Adriana Viola Miranda'] | [] | ['angular.js', 'machine-learning', 'node.js', 'predictiveanalytics', 'sql'] | 118 |
9,927 | https://devpost.com/software/cordet-an-online-tool-for-detection-of-covid-19-from-cxrs | Inspiration
Medical Imaging using computational methods is a very promising area of work right now. The current computer vision models have the potential to drastically transform the landscape right now. This will not only help in providing quality health care to more people but also will reduce the burnout of people in the medical industry.
What it does
CorDet is an online tool for detection of COVID-19 from chest xray radiographs
How I built it
CorDet main CNN classifier architecture follows a MobileNet V1 CNN architecture. This model is then trained by transfer learning on dataset of 250+ chest xrays with both the positive and negative classes equally distributed. The dataset was subjected to image augmentations etc. to prevent overfitting.
Challenges I ran into
Managing the strict memory limits on heroku dynos was not trivial. Had to change the network architecture many times to come up with a memory efficient CNN.
The Dataset
The dataset used here consisted of around 125 COVID-19 positive and around the same number of COVID-19 negative CXRs. COVID-19 positive images came from dataset published on this Github repo maintained by University of Montreal. COVID-19 negative CXRs came from a kaggle challenge
There is clearly lesser datat than what you would expect but with time better quality datasets will be available!
What I learned
Taking a trained CNN and integrating it with web applications is not as easy as it sounds. It involves plenty of work and sweat!
What's next for CorDet : An Online tool for detection of COVID-19 from CXRs
Improving the accuracy of classisifers, adding the support for CT-Scans. There is also a possibility of CNN able to diagnose people on the basis of cough sounds. Once there is enough data for the classfier available in the public this feature could be integrated.
Built With
flask
heroku
keras
python
tensorflow
Try it out
corvizapis.herokuapp.com
github.com | CorDet : An Online tool for detection of COVID-19 from CXRs | An online tool for detection of COVID-19 from chest xray radiographs using transfer learning | ['Anant Dev'] | [] | ['flask', 'heroku', 'keras', 'python', 'tensorflow'] | 119 |
9,927 | https://devpost.com/software/asworld | The constant discovery of new problems
Managed human basic activities, electronics, car, watch etc
One code a day😅 and always improving yesterday's code
opencv and hotword detection
asworld can understand speech
smart spaces need a solid, fast processing brains to execute all command apon request
Getting into to read facial expressions to have an easy understanding of how the user feels
Built With
android-studio
firebase
google-web-speech-api
java
mycaption-speech-to-text
opencv | ASWORLD | Live Personal Assistance | ['SIZWE WISEMAN NHEBELA'] | [] | ['android-studio', 'firebase', 'google-web-speech-api', 'java', 'mycaption-speech-to-text', 'opencv'] | 120 |
9,927 | 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'] | 121 |
9,927 | 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'] | 122 |
9,927 | https://devpost.com/software/kaggle-wheat_head | training image
model test
kaggle-Wheat_head
Creation of a set of object detection models that are able to count wheat head in a image.
Problem
Counting Detected wheat head in an image, using object recognition.
Proposed Solution
This project was created to count the number of wheat heads detected in an image, it also has the possibility of generating a list of files that tell you exactly where the object identified are located in the image.
In this projecti will be leveraging both resnet a pretrained model, ResNet50 trained on coco dataset and keras-retinanet from this repository
https://github.com/fizyr/keras-retinanet.git
, the script for creating the models contained in this repository is Wheathead.ipynb, all the training process was carried out google collab.
The neural network was trained using 3422 wheathead images, the test dataset contains 10 images. I will do my best to show you the implementation process but i would really just advice that you run the script
Wheathead.ipynb
this project project was inspired by the kaggle wheathead competition and the dataset used is just a part of the dataset available in the competition
Used Stack
Python
Benefits
Provision of an software to help agriculturist and farmers estimate their wheat head yields.
Creation of an agriculturally inclined A.I system.
Proposed directory layout
.
├── Keras-retinanet # Contains the keras retinanet files as well as the created models
├── train # Training images
├── test # Test Images
├── Wheathead.ipynb # Training and Inference file
└── README.md # information and Instructions of Use
How to setup project and run locally
You need to be running python 3 you will need also the following to run the neural net script for infrence
Keras-retinanet
Tensorflow
matplotlib
sklearn
Open CV
seaborn
pandas
numpy
Clone this repository
https://github.com/mrnninster/kaggle-Wheat_head.git
Creating your model using google collab
Ensuring we are running gpu
So the first thing to do is make sure you are running a gpu instance. Even with a gpu, training can take more hours that you would like to know.
Here i am just checking the kind of instance i ama running. Here i am running the Tesla T4 instance. After doing this you can mount your drive and
navigate to your working directory.
Clonning Git Repo
You will need to clone this github repo with keras-retinanet as shown in the image below. Here is the link to the github repo
*!git clone https://github.com/fizyr/keras-retinanet.git*
Ensure that you version of keras is up to date by running
*pip install --upgrade keras*
Navigate into the keras-retinanet folder and pip install all, then run setup.py using python3 to build.
You will need to import all the dependencies as shown in the image below. Please make sure you have all the requirements listed above if you want to run this locally on your computer/Laptop.
Here you will be reading in the file that contains the annotation of the images. It is usually typically a csv file or an excel file.
Here is the boundary box function created to test the dataset. Modify to fit your use.
Here i am simply generatin the test and train dataset. After this i generated the annotations file and the classes file which will b used for training the neural network.
Training
I used a pretrained model, which is resnet50 trained on the coco dataset, it was downloaded to a predefined storage location, and i began training.
Testing Trained models
The next series of images show the process of me testing the network and the result i obtained. like i said earlier, the results can be written to
a csv/txt file.
Built With
jupyter-notebook
Try it out
github.com | kaggle-Wheat_head | Creation of a set of object detection models that are able to count wheat head in a image. | ['Adefolahan Akinsola'] | [] | ['jupyter-notebook'] | 123 |
9,927 | https://devpost.com/software/healing-frequencies-mix | Electromagnetic frequency healing for coronavirus(covid-19)
Inspiration Audio frequencies mixing
What it does Helps healing of Covid-19.
How I built it Mixing audio frequencies using Mozilla and audacity to record.
Challenges I ran into Choosing the correct frequencies.
Accomplishments that I'm proud of The mix is high quality and all the frequencies can be heard. .
What I learned How to record in high quality sound without distortion of frequencies.
What's next for Healing frequencies mix I hope many people will find it useful to fight the infection.
Built With
audacity
mozilla
Try it out
audiomack.com | Electromagnetic frequency healing for coronavirus(covid-19) | Listen to this mix everyday to reduce the risk of coronavirus infection. | ['Radostin Peev'] | [] | ['audacity', 'mozilla'] | 124 |
9,927 | https://devpost.com/software/chat-service-with-multiple-users | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned is the challenges that a developer faces while developing the whole process.
What's next for Chat service with multiple users
Built With
bootstrap
css3
jquery
php | Chat service with multiple users | Here we have implemented chat programming with end users | ['Suman Dutta'] | [] | ['bootstrap', 'css3', 'jquery', 'php'] | 125 |
9,927 | https://devpost.com/software/smart-recycle | Inspiration
We are in an epidemic process that affects our world, we are devastated, we lose and we try not to lose anymore. The year is 2020. A virus that we cannot see visually is responsible for this pandemic and is called Covid-19. However, did you know that it is possible to correct environmental pollution, which will be the biggest visible problem in our world, even after that hand in hand. We pollute our nature, we pollute our land, air and seas with waste that is kept in nature for millions of years without any degradation and endanger the life of living things. As a result, glaciers are melting, the sea level is rising, animals are extinct, our forests are disappearing, the climate is changing and human health is deteriorating. We consume more of our resources for our more needs, and since we do not meet these resources ourselves, our economic added value is also lost.
What is it doing
SmartRecycle is a smart waste container that separates different recycling materials from the source with a professionally developed sensor (o-ray). Project that protects recyclable materials and returns them to their life cycle. This project will protect the environment and our future.
How we built
sensor
• It produc by us, which we call O-Ray, to distinguish the raw material of materials with our new generation remotely updated & programmable sensor technology.
Artificial intelligence
• All charts compare and offer judgment.
• It creates a deep and realistic structure from the recyclability of waste to the habits of solid waste and waste packaging needs.
Machine Learning, Deep Learning and Image Processing
• Algorithms that provide logical and rational results in the selection of the machine,
• Creates its own rules; Which one is organic and which one is inorganic waste
distinguish with their processes,
• Thanks to image processing, pixels turn into code and recognize waste.
The challenges we face
technical problems and material supply
Achievements we are proud of
Waste recovery from nature. Potential customer demands. Zero Waste Project.
What we learned
We learned the basic logic of sensors and artificial intelligence networks.
What's next for Smart Recycling?
The machine produces its energy and transfers data between sensors with high artificial intelligence activities.
Built With
c++
python
Try it out
novasr.com | Smart Recycle | It is a 2-sided project consisting of a professionally developed sensor and a smart wastes container and a mobile application platform that separates different recycling materials at its source. | ['Sefa Aydın', 'Burak Sağlam'] | [] | ['c++', 'python'] | 126 |
9,927 | https://devpost.com/software/myfacemaskapp | Prototype model 1 "Dany" pink opaque
Prototype model 1 "Dany" white opaque
AiRFace.it (App)
A new customizable, economic and ecological mask tailored to you
Millions of disposable masks are thrown out every day, which in addition to having a significant environmental impact on nature also have a high monetary expenditure.
To meet all these needs, the
AiRFace.it App
team has developed a project that allows the customization of the mask or the creation of transparent masks that can adapt to the features and therefore customizable by scanning the face in 3D.
This is
AiRFace.it App
, a mobile application that can be downloaded free on IOS and Android devices.
The scanning process is quick and easy: it happens through the use of the mobile phone camera.
In addition, the material used in the production of the masks, biodegradable and hypoallergenic allows a repeated use, being able to sterilize the washing at high temperatures .
The mask is therefore ergonomic and environmentally friendly, because you just need to change the filters.
The 3D model can also be printed from the comfort of the house without leaving. The advantage is that, being custom-built, the signs released by normal masks after hours of use will be reduced.
Considering the difficult and delicate situation we are experiencing,
AiRFace.it App
would ensure protection and prevention with zero impact on the environment and would meet individual needs.
It would be an optimal solution, without going out to buy it if you already have a 3D printer or otherwise we print and deliver directly to your home! The App is free as well as the availability of the various basic 3D models.
Ergonomic
My face mask with its 3D scanning process, allows you to create ergonomic masks suitable for every feature of your face. This custom adaptation will allow you to reduce the marks released by normal masks after hours of use.
3d Printer
The realization of the 3D masks allows anyone to create them independently.
In fact, a 3D printer and a mobile phone are enough to quickly create personalized templates based on the desired quantity.
Ecological
The material of these masks is absolutely ecological, a very important feature if you consider high consumption
daily, especially in
some sectors.
In fact, these masks can
be reused several times later
washing at high temperatures which allows sterilization.
Trasparent
One of the main features of AiRFace.it is transparency.
The idea of making these masks with a transparent material was born mainly from the awareness of the importance of lip reading for deaf people.
Privacy
For us your privacy comes first, that's why AiRFace.it complies with all Gdpr (
https://gdpr.eu
) regulations and no personal data will be transmitted.
The problem solved by the project
With AiRFace.it App we want to find the solution to the problem of the availability of personal protection devices for everyone, in fact thanks to this app anyone can print his mask, following our guidelines for the use of safe and biodegradable materials, with their own 3D printer,only if you are certificated member of our network to ensure the quality and safety of the mask produced according to all applicable regulations, so that you have a mask for you and your family that can last for all this complicated period that we are living.
The solution you bring to the table
AiRFace.it is installable for free on all iOS and Android devices that have compatibility requirements and in a simple automated way and can create your own 3D mask and send it directly to the 3d printer certificated
The impact of the solution on the crisis
The idea behind this project is to create a safe, cost-effective product that respects nature for us and future generations
The needs to continue the project
This project needs funds in order to create the best mask with the best materials and for this a significant investment in research and development in addition to wanting to make and print masks to those who do not have the opportunity to have their own 3D printer
The value of your post-crisis solutions
We believe a lot in this project because it is a valuable help to anyone who does not have the opportunity to always have a disposable mask and this mask can be reused even after this crisis (hopefully it ends as soon as possible) in any sector that needs personal protection devices
The AiR net blockchain
We are creating a network of certified makers to be able to print masks for doctors and nurses for free to thank them for their valuable help.
We are working with other startups to create a network of certified makers using the Ethereum blockchain to create smart contracts in order to be able to transparently verify the entire network.
We are creating a decentralized system that is based on blockchain eos to ensure the total transparency of certification of the materials used to print the masks.
Currently our team also collaborates in the creation of protective equipment for doctors and nurses to thank them for their difficult work.
Built With
blockchain
c#
html5
java
javascript
kotlin
objective-c
python
swift
Try it out
airface.it
bitbucket.org | AiRFace.it App | A new customizable and ecological mask tailored for you | ['Massimiliano Pizzola', 'Daniela Tabascio'] | [] | ['blockchain', 'c#', 'html5', 'java', 'javascript', 'kotlin', 'objective-c', 'python', 'swift'] | 127 |
9,927 | https://devpost.com/software/ugly-face | Inspiration
I get inspired by seeing what other people like, I see they like an Augmented reality that can change their face to be unique.
What it does
This Ar filter changes the user's face
How I built it
I made it using Facebook's Ar studio spark, and used a little Photoshop software to make some GIFs for use on canvas and rectangle.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Ugly Face
Built With
photoshop
sparkar
Try it out
instagram.com | Ugly Face | this filter makes the user's face turn into strange, but after a while later their faces will change being beautiful and added with some 3D objects on the facemask. | ['Eben Ezer'] | [] | ['photoshop', 'sparkar'] | 128 |
9,927 | https://devpost.com/software/painter-hovxfz | Traing The Neural Networl On Google Collab
A brief model test
Problem
Estimation of price point an art work would most likely be sold at.
Proposed Solution
This project was created with the intent of helping artist appraise their artwork.
In this project i have created a neural network to predict or estimate how much an art work would be sold at. You wold need basically a picture of dimesnsion 200x200 as the input to the system. Over the course of time if i get the chance i will make significant improvements to the system, because i believe the better the quality of the image provided to thye system the better the predictions will get.
The currency of appraisal is in euros. It works in a similar way to most of the image recognition systems however in this case I am hoping the A.i is able to identify similarities between images of diffrent artist that have the same price and estimate how much another image would be sold for. The categories in this case are spicific, there are 742 categories each representing diffrent price point as seen in the price folder. The neural network was trained om over 5,000 images of diffrent artwork although a large constituent of these are paintings.
The finished product for this project is to be a windows, .exe file, an android and iOS app. The hackathon for which this project is made is coming to an end in 7 days so i am a little bit rushed and i might only be able to make the neural net.
More Additions to this file wiill be made over the course of creating this project
Proposed Stack
Python
Flutter
Benefits
Provision of an appraisal app to help artist appraise their works.
Creation of an art inclined A.I system.
Proposed directory layout
.
├── prices # Dataset Samples
├── public # Compiled Neural Network
├── src # Source files (alternatively `lib` or `app`)
└── README.md # information and Instructions of Use
How to setup project and run locally
You will need the following to run the neural net script for infrence
Tensorflow
Open CV
numpy
Clone the repository
https://github.com/mrnninster/painter.gitt
Good News
I have succesfully trained a neural network to predict the price points of the diffrent paintings, however I used a pretrained model which is ResNet50, partly because i wanted to cut down training time and because except i have more time the only suitable model achitecture i can use is keras tuner and i don't run a gpu. I have made the files available on a folder in my google cloud here is the link
https://drive.google.com/open?id=1VCttRp-TI5iPXMWsB1SInuRESstzw7SY
(Fair warning it is 485 mb). I will make the traing file avalable here so fine tuning can be made, based on my training if you desire.
Built With
jupyter-notebook
python
Try it out
github.com | Painter | Painter is an A.I for appraising artworks | ['Adefolahan Akinsola'] | [] | ['jupyter-notebook', 'python'] | 129 |
9,927 | https://devpost.com/software/fighting-covid-today | Inspiration
Working on a
resource mapping toolkit
one of our mentors showed us a relevant video of
Destin @SmarterEveryDay
, then at the end of the video, I ordered the
fightingcovid.today
domain then published the call to action on it.
What it does
Supporting communities to have their easy-to-use webpage under a
fightingcovid.today
subdomain.
Providing tools and strategies for collaboration and the emergence of communities.
Listing
#FightingCOVID
solutions, resources, and other databases.
How I built it
The current page was created with Godaddy's free webpage creator but needed to rebuild in a more adaptive way with simple
HTML5
,
CSS
,
JavaScript
,
.json
technology with some kind of
NoSQL
database.
Challenges I ran into
I am too slow with coding today and hard to find good programmers who are available for agile development.
Accomplishments that I'm proud of
It was a great feeling to find the perfect available domain for it and setting up a quick MVP under. Many people were giving positive feedback about the idea.
What I learned
Today it's hard to find agile developers and more effort is needed to spread the word.
What's next for Fighting COVID Today
The next step is to
replicate the current site on a
node.js
compatible hosting to be able to start the development and
bring more people to the team,
make connections with similar projects and
find incentives for the community to build spread the world and build a bigger database.
Built With
css
html5
javascript
Try it out
fightingcovid.today | Fighting COVID Today | Supporting communities to Fight against Covid-19. Working together to find real solutions to support Life. Think Globally, Start Locally, Expand Regionally! Common platform for resources and requests. | ['eapo sztrof'] | [] | ['css', 'html5', 'javascript'] | 130 |
9,927 | https://devpost.com/software/bidustry | Bidustry - Industrial B2B marketplace!
Bidustry is B2B marketplace for industrial sellers and buyers!
Producer goods, manfufacturer goods, capital goods or Lets say industrial goods!
Product prices are changeable for industrial goods because of logistic costs, manufacturing quantities and stock status.
So e-com is not a solution for those manufacturers and suppliers and Bidustry is not an e-com marketplace!
See how Bidustry works:
https://www.bidustry.com/en
Built With
blockchain
php
Try it out
www.bidustry.com | Bidustry | Industrial B2B marketplace! | ['Yiğit Can BANDIRAN', 'HAKAN TAŞLI'] | [] | ['blockchain', 'php'] | 131 |
9,927 | https://devpost.com/software/findrecycler-2 | Inspiration
Cleaning up my room and discovered that there is no centralised website or web app to list and direct recyclable items to the appripriate facilities.
What it does
Lists the recycling facilities available and add them via crowdsourcing.
How I built it
Built with a layer on Google Maps.
Challenges I ran into
Initially there was an app but the web host went bankrupt and lost just everything.
Accomplishments that I'm proud of
That such an app can be created.
What I learned
Create backups and archived. Always.
What's next for FindRecycler 2
Chatbots and things.
Built With
css3
forms
google
html5
javascript
maps
png
Try it out
www.salocinten.info | FindRecycler 2 | A location-based recycling facility and bin locator. | ['Salocin.TEN .'] | [] | ['css3', 'forms', 'google', 'html5', 'javascript', 'maps', 'png'] | 132 |
9,927 | https://devpost.com/software/virtuquiz | Thousands of videos, understand your lessons clearly.
Inspiration
There are so many students around the world who are weak at studies. Many children don't like the traditional learning or the e-learning method.
Although there are many learning apps, there are some features that I thought of that no other app has. Including all these features I wanted to create a learning app, and thus Virtuquiz, which is not limited to quizzes, was born....
What it does
Virtuquiz is a learning app which anyone can download on their mobile phone and start to learn. This app is recommended to students of grades 6-12, but other grades will be added sooner.
Virtuquiz has 2 main sections, one is learning and the other is quizzes.
Leaning Section
The learning section features 3 sub-categories which include videos, a homework checker and an extra knowledge bot.
Videos
There are thousands of videos under different topics which you can refer to. The video section consists videos from an online school 'Khan Academy.' Watching videos here is simple. Scroll down on the topic list, select the topic, then select a video and watch it. All videos are in English.
Homework Checker
This is a feature where anyone can submit there homework for a re-check before submitting it to a teacher. You can either send a picture or document. Then we will re-check it with automated systems as well as manual systems and send whether the work is correct or point out the mistakes and analyze them. We have clearly said that no one can use this feature for cheating.
Extra Knowledge Bot
This bot which is called as the Virtubot can be used for learning good qualities and learning about the society. This is also an essential part which education systems have missed out today. The Virtubut is still under development, it only has 3 questions yet. Using it is simple, the bot asks questions; for example how will you handle a situation where your friend is scolding you for what you didn't do.
There will be some options of what you can do. You will have to chose the wisest solution. You will be judged and given feedback (You are rude, or , very good you are generous).
Quizzes
After you have learned using the video feature you can check your knowledge using the quizzes. There are 20 quizzes with 10 questions each at the moment, more will be added too. Quizzes are under 5 main topics. (Science, History, Technology etc.)
Answering questions in quizzes is simple, all the questions are multiple choice questions, you just how to select the answer and press next. Finally after finishing all the 10 questions you will get a report on your performance. The pass mark for all quizzes is 70%.
How I built it
The Virtuquiz app was built using different app building platforms, the questions were built created by me with the help of online articles. The video feature was added in collaboration with Khan Academy Videos. The Virtubot was built using the virtual bot creator. The app was finally compiled using Android-Studio.
Challenges I ran into
There were many challenges.
The first was finding videos, I couldn't do all the videos myself. But finally I found a Khan academy feature which allows you to add the videos which belongs to them.
Another challenge was creating quizzes, I had to make 200 questions and add different answers. This was all done within 12 hours..
Also the Virtubot was difficult to create. I failed in creating the bot and integrating it successfully at the beginning, but later I was successful.
Accomplishments that I'm proud of
I am proud of adding a bot which is a unique feature and also a feature that plays a role in social-good.
Also I am proud of successfully creating this app.
What I learned
While building my app, I had to read many educational articles, I gained a lot of education through this. Also this was one of the most difficult apps I built, it really taught me a lot about programming etc.
What's next for Virtuquiz
I have to let people know about my app, although it's good and working many doesn't know that something like this exists. So, I need to promote.
Also I will have to develop this app more in the future.
Built With
android-studio
appsgeyser
appy-pie
gimp
Try it out
github.com
play.google.com | Virtuquiz | The Ultimate Learning App, quizzes, video lessons and even problem solving bots included... | ['Senuka Rathnayake'] | [] | ['android-studio', 'appsgeyser', 'appy-pie', 'gimp'] | 133 |
9,927 | https://devpost.com/software/plantly | Profile page
Plant information
Health identification results
Journals
Journal entry
Map
Inspiration
Since the beginning, we knew we wanted to create a product integrated with machine learning. As machine learning had infinite applications and could be deployed on mobile devices, the possibilities were endless. After listening to the news about the alarming statistics of world hunger that impacted billions worldwide, we knew we wanted to help. After researching the many causes of this issue, we decided to focus on improving agricultural production. Upon researching, we learned that a large percentage of crops went to waste when diseases and nutrient deficiencies went unnoticed. This prompted the creation of Plantly, which aims to increase agricultural productivity by providing management tools for plant diseases and deficiencies.
What it does
Plantly has four main features: information, identification, journal management system, and map.
Keeping track of plants and properly tending them can be tough. Utilizing the Firestore database, users can curate their own list of plants for easy tracking and management. To learn more about plant care, Plantly provides basic information on the plant, its ideal soil environments, and its ideal pH levels. This allows users to gain a better understanding of how to properly take care of their plants.
With a vast number of plant diseases and deficiencies, identifying a plant’s health condition is extremely difficult. Plantly’s identification tool identifies 38 common diseases from 14 of the world’s largest crops, as well as 10 common nutrient deficiencies. The user chooses to either open the camera through the app or choose a photo from their library to upload. Once the picture is uploaded, they are taken to a page containing the plant’s identification, as well as methods to treat the disease or deficiency. With over 93% accuracy, the model is able to accurately detect a plant’s health.
Using a journal to track plants can be extremely beneficial when encountering health problems in crops. Users are able to create and access journals that store data about their plants. These updates include a photo of the plant, its identification, and additional notes entered by the user. With Plantly’s journals, users can easily track the progression of their plants.
When left untreated, plant diseases spread and can soon become a universal issue. With the map feature, users can add their plants onto a worldwide map shared by Plantly’s entire user base. Each map annotation includes the plant, its health condition, and the date it was recorded. This will enable farmers to observe nearby plants in their communities and take preventative actions when necessary.
How I built it
To gather information on different plants, we used HTML web scraping to get information from databases. The machine learning model was trained with over 70,000 thousand images with a convolutional neural network image classifier in Python trained with TensorFlow’s Keras deep learning API. User accounts and data storage was supported by Google's Firebase database, for a real-time sync.
Challenges I ran into
At first, our model reached a meager 10% accuracy. After adding more layers and data to the neural network, we achieved a 97% accuracy. Furthermore, we were unsure how to grab information from websites to display on our app. We then came across SwiftSoup, which allowed us to easily web scrape HTML code on websites. Additionally, it was tricky to animate elements in Swift. After reading several Medium.com articles, we were finally successful.
Accomplishments that I'm proud of
Coming into the challenge, we had little to no experience with machine learning. Afterward, we were able to write a python image classifier using Tensorflow's Keras API, which felt empowering. This was also our first time using Firebase to connect our application to a database.
What I learned
We learned how to use Tensorflow's Keras API to create an image classifier for detecting plant diseases and nutrient deficiencies. Furthermore, we learned how to read and write data in Firestore, as well as how to animate UI elements in our app.
What's next for Plantly
We plan to incorporate more types of plant diseases and nutrient deficiencies in our model for a more holistic plant health analysis. We will also gather more data to improve model accuracy. We are already in contact with a couple of nonprofits: The Land Institute and APS. We hope to use these partnerships to connect the app to farmers in the United States. Plantly will be released onto the iOS App Store in the near future. However, we plan to conduct beta testing through TestFlight beforehand. We are also currently developing an android version of the app.
Built With
keras
tensorflow
Try it out
github.com | Plantly | Cultivating productivity | ['Chloe Yan'] | [] | ['keras', 'tensorflow'] | 134 |
9,927 | https://devpost.com/software/medilinkup-ehealth | How it works
Patient form for data collection
Design
Patient result
MediLinkUp product
Development in progress
Inspiration
Sub-Saharan Africa is a resource-constrained region that suffers a top-heavy share of the world’s burden of disease.
According to the World Health Organization (WHO), about 12% of the world’s population lives in sub-Saharan Africa, yet the region suffers 27% of the world’s total burden of disease.1
To make the situation worse, the same region with a high burden of the disease still lags in health information technology (HIT) which is vital in ensuring improved patient care.
Timely as well as accurate patient information is essential to meet the health-care needs of any patient in any population.
Physicians and other care providers require high-quality information to make sound clinical decisions; however, their information needs are often not met.
The first three challenges identified were inadequate human resources (34.29%), inadequate budgetary allocation to health (30%), and poor leadership and management (8.45%). The leading solutions suggested included training and capacity building for health workers (29.69%), increased budgetary allocation to health (20.31%), and advocacy for political support and commitment (12.31%).
The critical need for good health information systems in sub-Saharan Africa has become the current focus of attention.
Many studies conducted in different health-care settings have indicated that EHRs will assist health professionals to reduce medical errors, achieve better effective care coordination, improve safety and quality, and also, it can reduce health-care costs.
What it does
First, though an important starting point, training alone is insufficient to engage and build capacity for facility and community health workers. Stakeholder meetings, data reviews, and mentoring use of data as a basis for decisions have been utilized to engage health workers and managers and demonstrate the value of data, HIS quality, and ownership of tools to summarize data and guide decision making. A second lesson learned is that it is critical for HIS interventions to be developed in the context of the national HIS, which has been feasible across PHIT Partnerships and is crucial to ensuring the sustainability of the programs beyond the project lifespan. Finally, in two of the PHIT Partnerships, the increased availability of mobile phone technology has facilitated the introduction of EMR systems in rural, resource-constrained environments. These ICT innovations have come at a high initial financial cost to build infrastructure, modify software, and build human resource capacity for their use.
“Build an IA method to learn from the data and detect COVID-19 symptoms and diagnose patients. The learned model allows us to classify COVID-19 cases.”
How I built it
Build a website to collect data of patient's symptoms
Create a large database epidemiology data and identify coronavirus symptoms.
Manage the database, making it usable to other researchers while taking care of privacy concerns.
Build an IA method to learn from the data and detect early COVID-19 symptoms.
The learned model allows us to make a diagnose.
Evaluate IA method
Challenges I ran into
Although fewer than 50% of Africans have access to quality healthcare, physicians and other health providers require high-quality information to make sound clinical decisions; however, their information needs are often not met. This can results in 30% inadequate budgetary allocation to health and 8.45% poor leadership and management. Furthermore, of those who had access, 42% reported difficulty obtaining needed care.
The current COVID-19 epidemic places an increased burden to have timely and accurate patient information. This lack of high-quality information often leads to a lesser quality and inefficient patient care, which can lead to increased mortality.
Accomplishments that I'm proud of
Minimum Viale Product (MVP)
Business model canevas
https://sites.google.com/view/medilinkup/home
https://github.com/garbamoussa/MediLinkUp
What I learned
Data Science helps doctors monitor patients’ health with the help of IoT devices. These wearable devices help monitor various medical conditions such as heart rate, body temperature, blood pressure, etc. These devices send patients’ data to concerned doctors for medical analysis. This helps doctors take the necessary steps for treating patients accordingly.
Data Science helps doctors monitor patients’ health with the help of IoT devices. These wearable devices help monitor various medical conditions such as heart rate, body temperature, blood pressure, etc. These devices send patients’ data to concerned doctors for medical analysis. This helps doctors take the necessary steps for treating patients accordingly.
Apart from the other applications of Data Science, it helps in managing the patient data. The patient data is stored in databases and can be used in the future for the analysis of several medical conditions and the improvement of medical diagnosis and treatment.
What's next for MediLinkUp: eHealth
Implementation will be funded by an investor, grants, and private equity.
Business for profit: annual subscription based on package deals.
Solution distribution
Built With
cloud
django
flask
google-web-speech-api
mongodb
python
Try it out
github.com
sites.google.com | MediLinkUp:eHEALTH SYSTEM 4DETECTION,DIAGNOSIS,AND ANALYSIS. | Maximizing digital health technology to improve quality and patient safety in Africa | ['GARBA Moussa', 'Golda Kamara', 'Benny Moja', 'Julius Basiima', 'Ntsiki Ncwadi', 'Ameena Bala'] | [] | ['cloud', 'django', 'flask', 'google-web-speech-api', 'mongodb', 'python'] | 135 |
9,927 | https://devpost.com/software/lynx-ar | Inspiration
Virtual reality and AR
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for LYNX AR
Built With
c# | LYNX AR | AR | ['KODO Sam'] | [] | ['c#'] | 136 |
9,927 | https://devpost.com/software/versioningright | console based visualization
D3-based visualization
MS thesis - streamlines diagram, branches and tags naming
MS thesis - streamlines diagram with continuous integration aspect
slide of presentation about semantics of version numbering for DSL development
slide of presentation about merging restrictions and metrics of its effectiveness
Inspiration
I was inspired by development tools, especially version control systems (svn back in the day), issue tracking systems (jira in particular), continuous integration tools (cruisecontrol), build management tools (ant, maven, etc). I wanted to understand how to properly generate version numbers using algorithms and automation, especially for continuous integration builds. Also I wanted to understand how to effectively manage branches and their types, parallel development, maturity levels, incompatible lines of development and tags together with immutable artifacts.
What it does
It generates version number based on current development history for branches, tags and continuous integration builds taking into account branch types, incompatible changes, immutability of resulting artifacts and maturity levels. Operates on simplest text as a versioned entity.
How I built it
First generated high-level design with the drawing that described relationships between branch types, tag types, maturity levels, incompatible changes and version numbers. Based on that developed training to explain principles of version control, build management, continuous integration, merge management and agile software configuration management. As a part of the training, came up with approach for version numbering of continuous integration builds and restrictions for branch management. After that prepared a detailed specification where inferred specific metrics proving effectiveness of approach. Started with development of domain-specific language for software configuration management using Haskell. After several iterations built the tool using plain Haskell as a proof of concept. Created landing page that describes the principle behind the tool using data generated with the tool, explains the problem, solution, target audience and unique value. Came up with standalone web-based visualization module using D3 framework.
Challenges I ran into
Insurmountable resistance towards accepting the problem and suggested solution. Was not able to run a survey that proves the problem exists. It took a long time to build it and to explain its value. Nobody wanted to help with building it. Misunderstanding, isolation, despair, long periods when I could not work on it. Didn't want to continue, dropped work and switched to something else many times. Could not integrate visualization module with back-end. Could not resolve bugs in visualization engine or rewrite it in Elm. Accumulated technical debt.
Accomplishments that I'm proud of
Award for best graduate work award among Computer Science department graduates of 2009 at my university for thesis on tools and methods for software configuration management. Developed and conducted offline and online training about software configuration management. Getting next to perfect understanding from several students that took my training. Two confirmations from fellow research students that it makes sense after long personal discussion sessions. I overcame all challenges on the way to actual working tool that demonstrates proof of concept for version numbering. Learned and applied the most advanced programming language that is currently available. Built proof of concept for streamlines visualization for version numbering, branches and tags.
What I learned
I learned how to give up to continue working, how elegantly Haskell implements main principles of the tool, how to explain complex things, how to build something unique that wasn't done ever before, how to stand behind my idea, how to achieve more with less, how to attract target audience and investors, how to explain value of the idea, how to build custom visualization engine with D3 visualization framework, presentation skills, training development skills and learning performance assessment skills.
What's next for VersioningRight
Integration with filesystem, version control systems (git first, then svn), continuous integration tool, visualization module, existing development tools (jira, confluence, bitbucket, fisheye/crucible, bamboo). Development of merge management module, dependencies management functionality, incompatibility detection functionality, common web-interface for SaaS solution. Finding first adopters, development of monetization strategy, testing minimum viable product and rolling out the production version. Getting to the point of using the tool for all the aspects of its own development. Adding artificial intelligence engine to give tips and guidance on how to develop solutions more effectively and with highest possible quality.
C19 challenge and sustainability development goals
VersioningRight helps to effectively develop technical solutions for wide range of the problems, but it is the most effective for development of solutions for most pressing challenges, such as, for example, C19. It helps to reduce waste in terms of lost effort spent on unnecessary development or tasks that are meaningless, impossible or derailing progress. Also it helps to optimize effort in order to make development more effective.
Built With
d3.js
haskell
javascript
linux
Try it out
versioningright.com
www.slideshare.net | VersioningRight | Tool built on top of existing version control systems to allow integration of development tools for the purpose of improving software development experience and productivity | ['Sergii Shmarkatiuk', 'Anita Mitrike', 'Olga Volkova', 'Oleg Prutz'] | [] | ['d3.js', 'haskell', 'javascript', 'linux'] | 137 |
9,927 | https://devpost.com/software/theideasplanet-com-jzhy34 | Inspiration
The story begin, When I did my diploma in computer science & technology. As I have only therotical knowledge of computer programming and the only language I learn which is nothing but C and that day I decided programing is my professional. I move to Pune city to learn actual process of software development for that I took one course in which I learned about .Net framework & as.net with c#. While going to the class at early morning walk I always walk with thought to create something which will use by whole world,To create a planet on Internet which will use by all human over the world & that time the concept of ideasplanet came in my mind. After diploma I need to do engineering (a graduation) but I took a break to explore the world of programing. Then after I took admission for engineering in computer science. There was a sprak of theideasplanet platform & as I did a course not .net I have few ideas about how to develop a site. So for last year project I implemented thefarmersplanet project with my project partners base on the concept of theideasplanet where farmers can share their ideas and other farmers on platform can refer those ideas comment on it and like unlike & suggest improvement on any idea. In 2015 I got a job and the dream left behind of theideasplanet. But as dream not allowed to me forget it & a job in E&TC company not improving/practicing my web development knowledge. So I left a job after 8 months & focus on my theideasplanet development year was 2016. As beloging from lower middle class family my parents were not happy with my decision So I worked day & night 7 days continuously without sleeping for a second I get my site ready to online,then I shifted to Pune again. As I did not know more about designing UI/UX site look very old generation so my one designer friend suggested my few changes in UI. And with that it look okay that time in 2016.
I shared a link of old site UI by YouTube link which is old site. Having combination of search engine & social networking site.
But as day passes not able to find investor for site and I had made hard decision to stop working on site & search for job as money finished I saw a day when I only had a dinner & no lunch to save a money. I placed in MNC of software industry all went good but my dream left behind. As I can't sleep because of the thought about theideasplanet not live now & started working on it again & modify the site which result into the currently live
www.theideasplanet.com
What it does
Before it was providing all features of search engine & social networking site for sharing ideas with your friends connected on theideasplanet platform,But while restructuring a site we remove a pages which are not usually hit by users. So we removed search engine feature then we add news along with ideas so user can read news/ideas shared by other users. And give like & share too. Features like comment friend connection is removed.
Please refer site link for current implementation , in video demo I have shared old UI of site.
How I built it
I build it with asp.net c# & MySQL as bankend database,But to get site performance increment by using HTML at front end & c# code at back end to fetch a data.
Challenges I ran into
Challenges are a learning process for me. From hosting, peferomcs of site loading,database normalization,API to fetch data, integrating HTML page with asp and then replacing asp pages with HTML.
Accomplishments that I'm proud of
I am proud that a platform bi think about bus live now
What I learned
Satisfaction & continues learning, improving process
What's next for theideasplanet.com
There are lots of things to do with the theideasplanet.com ,To make it able to use platform to share a news from everyone surrounding & ideas on everyone mind world wide to make life better with a ease of information sharing.currently focus is on UI/UX and adding new features one by one.
To create this platform world's first News media social networking site along with ideas.
Built With
.net
bootstrap
c#
html
javascript
mysql
webapi
Try it out
www.theideasplanet.com | theideasplanet.com | This is the World Wide Plat Form To share your surrounding news or your Idea with the world. Make life more informative and easier of all by sharing News/Ideas. | ['Kiran Wagh'] | [] | ['.net', 'bootstrap', 'c#', 'html', 'javascript', 'mysql', 'webapi'] | 138 |
9,927 | https://devpost.com/software/anvix-online-examination-portal | home page
login page
signup page
Teacher's Dashboard
update test details
Student's dashboard
test environment loading
successful setup of test environment and detection of student peeping.
Real time detection while test
auto submission if student tries to exit full screen
Inspiration
I asked my class representative about how exactly exams are going to be conducted and her reply dismayed me, she replied that even professors don't have any clue or any idea how they are going to conduct examination amid COVID-19.I took it as a challenge to build a platform for online examination with an advanced monitoring system.
What it does
It is an online examination platform which ensures the strictness of exam in a virtual environment. It has a multi-tier invigilation system and it involves our smart trained AI which informs the exam-invigilator(human) about the suspected student. That makes the job easy for the conduction of online examination.
Below are the details and some touches of our platform:
Teachers and students have a separate portal.
In the teacher's section, they can add a test and evaluate the answer sheets.
In the student's section, they can take a test just by entering the test-id and test-password given by their teacher
As soon as you enter the test we will ask you to give access to your webcam and stabilize yourself in your sitting location and when everything is fine you can enter the test in a click of a button.
The test will open in a popup window which should be kept in a full-screen and the test starts on time.
As you are in full-screen you can never escape from it else test will be submitted.
During the test, we have used state of the art Head-pose detection algorithm along with face detection which makes it impossible for any student to do any malpractices and ensures that there is no other person allowed in the room.
Additionally, we have also thought of active-IP detection so, that same account can't be logged in from various devices at the same time.
Illegal access to URL manipulation has been taken care of using the intelligent use of session and database updates.
How we built it
We have used various technologies to build this project. A brief description -
Front end - HTML5, CSS, BOOTSTRAP
Backend - Javascript
Server - Flask (python)
database - MYSQL
Invigilation - We have used state of the art Head-pose detection algorithm along with face detection.
Challenges we ran into
We faced many challenges in this project(As this was our biggest project). The biggest challenge was using OpenCV and face-API to make our thinking come to action, it was really difficult to estimate the landmarks of the face objects and taking the decision on what should be the maximum head deviation and how frequently it should deviate
.
Another challenge we faced was to ensure that the test taker cannot switch tabs in the browser or exit fullscreen.
Giving a pleasant design to the website was also a big task as none of us were having prior experience in web design.
Deploying was also crucial in order to showcase our work to everyone, again we haven't done this before so it was also a challenge.
the list goes on but we didn't lose hope any single moment and things got sorted out.
Accomplishments that we're proud of
Learning a lot of techs for first time and implementing them was not an easy task but we have done it.
In the end, we have made this full-fledged project which is a working project. We gained some popularity and appreciation.
We are proud of the spirit that at least we have tried to make something that would be useful in these times of crisis.
Most important, we are proud of each other who made this possible.
What I learned
We learned a lot while building this platform, we dealt with creation of complex and secure login and signup module, head pose estimation in browser. We dealt with image processing with openCV and the most important part that is deploying our platform that can be used of everyone.
What's next for Anvix - Online examination portal
Things that have to be added:-
Invigilator monitoring system which gets the live video of test-taking student and our system lets the invigilator know which student is probably using unfair means that will help them in implementing stricter monitoring which can be accessed directly from the teacher's dashboard by entering invigilator's password that they have assigned at the time of test creation.
And after completion of this, we aim to launch it as a platform for institutes to solve this problem of online examination and proctoring.
Built With
bootstrap
css
face-api.js
flask
heroku
html5
javascript
opencv
python
Try it out
anvix.herokuapp.com | Anvix - Online examination portal | It is an online examination platform. It has multi tier invigilation system and it involves our smart trained program which informs the exam-invigilator(human) about the suspected student. | ['Amit kumar', 'Shivam krs', 'Somya Sanu'] | [] | ['bootstrap', 'css', 'face-api.js', 'flask', 'heroku', 'html5', 'javascript', 'opencv', 'python'] | 139 |
9,927 | https://devpost.com/software/moosha-ai | GIF
This is moosha my pet
from Jarvis ai in Ironman movie
my ai is a full stack assistant and can do complex calculations
I build it with python and tensorflow
gui building was stress for mr
ai has now currently having everyfeature of An future ai
I learnt lot of things but main I became better at gui programming
What's next for Moosha-AI
Built With
numpy
tensorflow
wolfram-technologies
Try it out
github.com | Moosha-AI | A AI of Future | ['Kaustik Bhabbur'] | [] | ['numpy', 'tensorflow', 'wolfram-technologies'] | 140 |
9,927 | https://devpost.com/software/project-a71hovwr6ngk | نصيحة لطلاب تالتة ثانوى الناس اللى ف ادبى او علمى ع حد سواء انا مهندس مدنى ومرت بكل اللى مريتوا بية دة عاوز اقولك تجربتى من اول لما دخلت الثانوى اما تخرجت من الكلية ليا ٣ سنين متخرج وهديكم اللى اتعلمتة الفترة دى لان الناس شايفة ان الفشل ف الثانوى العام نهاية الحياة
مبدايا كدة انت ف مرحلة حاسس انك لوحدك ف كل حاجة كل تفكيرك تعدى من المرحلة وتطلع من السجن دة ودة اللى ناس حاسها حاليا الثانوى مش سجن ولا حاجة انت بتحس بكدة علشان خايف تخذل اهلك خايف حد يكون احسن منك خايف متدخلش الكلية اللى انت عاوزاها
بصوا ى شباب متخليش اى حد يحبطك متخليش اى حد يفرض عليك راي متخليش اى حد يدخلك كلية انت مش عاوزها كل واحد فيكم جواة حلم وجواة حاجة بيحبها وقدام الحلم دة ف اهلك وف نتيجة الثانوية وف ناس مش عاوز تزعلها وف مليون حاجة قدام حلمك متخليش الحاجات دى تاثر عليك وع نفسيتك كل واحد فيكم شاطر ف حاجة وبيحب حاجة وعاوز يتعلم اكتر عن الحاجة دى بسبب تفكير بلدنا للاسف عقيم معظم الناس بتشوف طب وهندسة وصيدلية ع انهم هما بس الكليات اللى ينفع ندخلها دة خطا تماما
هقولك ع تجربتى انا دخلت ثانوية عامة ذاكرت ليل مع نهار ٤٨ ساعة ف ٢٤ ساعة علشان ارضى اهلى وادخل هندسة ودخلت هندسة بس تعرفوا مكنتش عاوز ادخل هندسة من جواى علشان مش حابب الكلية نفسها كنت عاوز ادخل حسابات ومعلومات اللى اقل من هندسة بكتير بس الاهل والناس شايفين دة غلط سبت حلمى ودخلت هندسة وكنت هسقط ف اعدادى هندسة وكل سنة كنت بشيل مواد سواء خرسانة او تحليل ميكانيكا انشاءات وعدت الخمس سنين وطلعت من الكلية اللى مش بحبها دخلت ف سوق العمل واشتغلت ف كذا شركة مرتب معقول بس مش اوووى بس كنت كل يوم برجع اقعد ع النت وادور ف الاب لحد اما اخدت قرار انى ادخل مجالى اللى بحبة اللى هو البرمجة والانترنت اخدت شهرين اتعلم من اليوتيوب البرمجة من كذا مدون وابحث هنا وهنا لحد اما لقيت نفسى عندى خبرة كافية انى ممكن اشتغل دورت ع شغل ع النت وبدات اطلع فلوس قليلة بس كنت فرحان بيها اوووى ومبسوط وانا بعمل الحاجة دى ونفسى اعمل اكتر من كدة بكتير ليا اكتر من ٩ شهور سايب مجال الهندسة خالص والحمد وصلت لحاجات كتير اوووى عملت شركة صغيرة مع نفسى ودلوقتى شغلت حد تحت منى والحمد بطلع فلوس مكنتش احلم بيها وقدامى حاجات كتير اوووى لسة بعملها وكل يوم بتعلم حاجة جديدة وبطلع حاجة جديدة ف مجالى اللى بحبة
الخلاصة مهما كان اللى واقف قدام حلمك متخليش حد يجبرك ع حاجة مش عاوزاها متخليش حد يحطمك ويقولك انت فاشل الثانوية مش مقياس لفشلك او نجاحك ادخل الحاجة اللى عاوزاها الحاجة اللى انت شاطر فيها هتبدع فيها وهتوصل مهما كانت صغيرة ف عيون الناس انت بس اللى عارف هتعمل بالحاجة دى اية حلمك اسعى ورا منوا ومتخليش حد يشك فيك او ياثر عليك ويخلى الكلية نهاية حياتك ابنى حياتك صح وانت هتعيش صح
بالتوفيق وياريت اقدر اكون افادتكم
واى استفسار انت تحت امركم | انا استطيع ان اتحدث عن تجربتى وكيفية استطعت العمل ع انترنت | العمل ع الانترنت وتحقيق ربح شهرى | ['Tarek abdalla'] | [] | [] | 141 |
9,927 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-28xtmh | Privacy Preserving Person Face Detection at Home
Home Page
Person Detection Indoors
Person Detection Outdoors
Plug and Play AI Device Discovery
Inspiration
COVID19 isolated at home many of us, including our elderly parents and grandparents. Not being able to check on them regularly elevates the risks that they are exposed to such as falls, gas leaks, flooding, fire and others.
What it does
Ambianic.ai is an end-to-end Open Source Ambient Intelligence project that removes the stigma associated with surveillance systems by implementing privacy preserving algorithms in three critical layers:
Peer-to-Peer Remote access
Local device AI inference and training
Local data storage
Ambianic.ai observes a target environment and alerts users for events of interest. Data us only available to homeowners and their family. User data is never sent to any third party cloud servers.
Here is a blog post that goes into the reasons why we started this project:
https://blog.ambianic.ai/2020/02/05/pnp.html
And here is a technical deep dive article published in WebRTCHacks. It clarifies that it is absolutely possible to build a privacy preserving surveillance system, despite popular cloud vendors making us believe that all user data belongs safely on their cloud servers:
https://webrtchacks.com/private-home-surveillance-with-the-webrtc-datachannel/
How I built it
Ambianic.ai has 3 main components:
Ambianic.ai Edge: a Python application designed to run on an IoT Edge device such as a Raspberry Pi or a NUC. It attaches to video cameras and other sensors to gather input. It then runs inference pipelines using AI models that detect events of interest such as objects, people and other triggers.
Ambianic.ai UI: A Progressive Web App written in Javascript using Vue.js and other front end frameworks to deliver an intuitive timeline of events to the end user.
Ambianic.ai PnP: A plug-and-play framework that allows Ambianic UI and Ambianic Edge to discover each other seamlessly and communicate over secure peer-to-peer protocol using WebRTC APIs.
Challenges I ran into
Challenges include selecting high performance, high accuracy and low latency AI models to detect events of interest on resource constraint edge devices.
Another challenge is taking into account user local data to fine tune AI models. Pre-trained models can perform reasonably well, but they can be improved with privacy preserving federated learning on unique new local data.
Accomplishments that I'm proud of
Ambianic.ai has been in public Beta for several weeks helping a number of users in their daily lives. Some users report success in keeping an eye on their elderly family members:
https://twitter.com/mchapman671/status/1230931722650423299
What I learned
Although the project sets ambitious goals, there seem to be sufficient enabling Open Source frameworks and community momentum to drive the ongoing success.
What's next for Remote Elderly Home Care via Privacy Preserving Surveillance
We need to work on these major areas:
Recruit volunteers in the home care community to test the system and provide feedback
Select more models to address open use cases such as fall detection, gas leaks and others
Work on implementing Federated Learning infrastructure to fine tune initial pre-trained models.
Built With
javascript
pwa
python
raspberry-pi
tensorflow
webrtc
Try it out
docs.ambianic.ai | Remote Elderly Home Care via Privacy Preserving Surveillance | COVID19 isolated at home many of us, including our elderly family members. Left unattended they are prone to risks such as falls, gas leaks, flooding, fire and others. | ['Ivelin Ivanov', 'Björn Kristensson Alfsson', 'Yana Vasileva'] | [] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow', 'webrtc'] | 142 |
9,927 | https://devpost.com/software/the-virus-limiter | I wanted to find a solution for COVID-19 and I signed up for HackTheCrisisIndia and made it to top 300! Unfortunately, I couldn't make it to top 30. I knew I wasn't gonna give up and I signed up for This Hackathon!
It is basically an idea where there is a drone mounted with a delivery system which gives people goods. It is controlled by an app in which you can buy goods. It even gives people self-use COVID-19 kits. Then the app also has an option in which you have to tell if you have COVID-19 or not (after using the self-test kit). Then this data gets sent to the government who will look further in to the topic. After a while the drone delivers the goods to them on their doorstep.
I don't have a working model yet.
A very big barrier I have in my way is The Age Barrier. I am only 10 years old and have no experience in coding and all. And I have like people who are 40 going against me!
A very big accomplishment that I think that I have, is that I made it to top 300 of HackTheCrisisIndia.
What I thought in HackTheCrisisIndia was that my idea was just really basic, so I decided to change that This Hackathon.
So, right now I am recruiting a team that will help me on my journey to success!
Built With
hardware
Try it out
sites.google.com | The Virus-Limiter 2.0 | A drone distributing self-use COVID-19 kits + an app in which you can order goods and (after using self-use kit) tell if you have the virus. | ['Rehan Raj', 'Gulshan Jubaed Prince', 'Manthan Sharma', 'Fahim Khan'] | [] | ['hardware'] | 143 |
9,927 | https://devpost.com/software/the-virus-limiter-3-0 | Our certificate in HackTheCrisisIndia
Our Certificate on CivicTechhub
I wanted to find a solution for COVID-19 and I signed up for HackTheCrisisIndia and made it to top 300! Unfortunately, I couldn't make it to top 30.I also got a special mention in The Global Hack. I knew I wasn't gonna give up and I signed up for This Hackathon!
The People who lost their job due to COVID-19 can go to The Virus-Limiter app and apply for a job that is going to be listed by companies who need more people to help stop this pandemic. So a cashier at a restaurant might switch to a COVID-19 volunteer by using our app and contacting a hospital.
I don't have a working model yet.
A very big barrier I have in my way is The Age Barrier. I am only 10 years old and have no experience in coding and all. And I have like people who are 40 going against me!
A very big accomplishment that I think that I have, is that I made it to top 300 of HackTheCrisisIndia.
What I thought in HackTheCrisisIndia was that my idea was just really basic, so I decided to change that This Hackathon. And in my idea in The Global Hack was a little hard to widely spread.
So, right now I am recruiting a team that will help me on my journey to success!
Built With
unified-software-addressval
Try it out
sites.google.com | The Virus-Limiter 3.0. | The People who lost their job due to COVID-19 can go to The Virus-Limiter app and apply for a job that is going to be listed by companies who need more people to help stop this pandemic.Like hospitals | ['Rehan Raj', 'Fahim Khan'] | [] | ['unified-software-addressval'] | 144 |
9,927 | https://devpost.com/software/analysis-of-respiratory-parameter-for-covid19 | Animation of device.
Inspiration
Because of spread out of COVID 19 spontaneously, countries do not have enough testing kits and laboratories. For primary screening government checks body temperature only. Temperature may also be a rise in normal fever, normal flu and several other diseases. Because of this problem, laboratory has lots of case to check for COVID 19 per day. This approach delays the report of a suspect, put additional burden on labs and rise consumption of testing kits.
What it does
There are several benefits which can be facilitated after solving this problem. Primary,lt will reduce workload of laboratory and on testing kits. Secondly, administration has a clear and focus idea about the COVID 19 patient data, for example (Gujarat state of India had suspect on 1160 cases, among them only 5 or 6 cases are positive). It also saves assets of administrations. Apart from this, if set of device monitor the quarantine human, administration get a better idea of the condition of patients. Device also helps to monitor the progress or recovery of patient having corona.
How I built it
We built it by employing a processing unit and GUI which generates a graph of respiration.
Challenges I ran into
Because, developing countries and even some of developed countries had a problem to find a proper number of testing kits. This is not because they are not capable to manufacture it, it is because they do false testing (like from 1000s of test we find only 10s of positive). So it raise a question on our monitoring system which is based on temperature.
Accomplishments that we are proud of
We are proud to mention here that, project idea was selected in to "Hack the Crisis India" hackathon. Team got _6th rank_among 3000 team application and 15000+ students. Idea also selected into SSIP (Student Startup Innovation Program).
What's next for Analysis of respiratory parameter for COVID19
We make device and GUI which can monitor all parameter along with respiratory rate. We will make device which is wireless and based on IoT. we try to project and process GUI on a mobile phone of an individual so that device can be easily used.
Built With
graphical-user-interface
hardware
processing-unit
Try it out
www.linkedin.com | NIVaRAn (Non Invasive Vital sign Respiratory Analyzer) | Make a device which analyses irregularity in breath and respiratory symptoms of covid19. Combining this machine with temperature symptoms will better classify suspected people. | ['Prajwal Chauhan', 'Karan Patel', 'Krunal Prajapati', 'Karan Mistry', 'Chahana Panchal'] | [] | ['graphical-user-interface', 'hardware', 'processing-unit'] | 145 |
9,927 | https://devpost.com/software/faco-fight-against-corona-jfcza9 | GIF
Confusion matrix for our final model
INSPIRATION
A diagnosis of respiratory disease is one of the most common outcomes of visiting a doctor. Respiratory diseases can be caused by inflammation, bacterial infection or viral infection of the respiratory tract. Diseases caused by inflammation include chronic conditions such as asthma, cystic fibrosis, COVID-19, and chronic obstructive pulmonary disease (COPD). Acute conditions, caused by either bacterial or viral infection, can affect either the upper or lower respiratory tract. Upper respiratory tract infections include common colds while lower respiratory tract infections include diseases such as pneumonia. Other infections include influenza, acute bronchitis, and bronchiolitis. Typically, doctors use stethoscopes to listen to the lungs as the first indication of a respiratory problem. The information available from these sounds is compromised as the sound has to first pass through the chest musculature which muffles high-pitched components of respiratory sounds. In contrast, the lungs are directly connected to the atmosphere during respiratory events such as coughs, heart rate.
PROBLEM STATEMENT
In this difficult time, a lot of people panic if they have signs of any of the symptoms, and they want to visit the doctor.
It isn’t necessary for the patients to always visit the doctor, as they might have a normal fever, cold or other condition that does not require immediate medical care.
The patient who might not have COVID-19 might contract the disease during his visit to the Corona testing booth, or expose others if they are infected.
Most of the diseases related to the respiratory systems can be assessed by the use of a stethoscope, which requires the patient to be physically present with the doctor.
Healthcare access is limited—doctors can only see so many people, and people living in rural areas may have to travel to seek care, potentially exposing others and themselves.
SOLUTION
We provide a point of care diagnostic solutions for tele-health that are easily integrated into existing platforms. We are working on an app to provide instant clinical quality diagnostic tests and management tools directly to consumers and healthcare providers. Our app is based on the premise that cough and breathing sounds carry vital information on the state of the respiratory tract. It is created to diagnose and measure the severity of a wide range of chronic and acute diseases such as corona, pneumonia, asthma, bronchiolitis and chronic obstructive pulmonary disease (COPD) using this insight. These audible sounds, used by our app, contain significantly more information than the sounds picked up by a stethoscope. app approach is automated and removes the need for human interpretation of respiratory sounds, plus user disease can also be detected by measuring heart beat from camera of smartphone.
The application works in the following manner:
User downloads the application from the app store and registers himself/herself.
After creating his/her account, they have to go through a questionnaire describing their symptoms like headache, fever, cough, cold etc.
After the questionnaire, the app records the users’ coughing, speaking, breathing and heart rate in form of video from smartphone.
After recording, the integrated AI system will analyze the sound recording, heart rate comparing it with a large database of respiratory sounds. If it detects any specific pattern inherent to a particular disease in the recording, it will enable the patient to contact a nearby specialist doctor.
The doctor then receives a notification on a counterpart of this app, for doctors. The doctor can view the form, watch the audio recording, and also read the report given by the AI of the application.
The doctor, depending upon the report of the AI, will develop a diagnosis, suggest medicines, or recommend a hospital visit if the person shows symptoms of corona or other serious condition.
In cases where the AI detects a very seriously ill patient, it will also enable the physician to call an ambulance to the users’ location and continuously track the user.
HOW WE ARE GOING TO BUILD IT
We will take a machine learning approach to develop highly-accurate algorithms that diagnose disease from cough and respiratory sounds. Machine learning is an artificial intelligence technique that constructs algorithms with the ability to learn from data. In our approach, signatures that characterize the respiratory tract are extracted from cough and breathing sounds. We start by matching signatures in a large database of sound recordings with known clinical diagnoses. Our machine learning tools then find the optimum combination of these signatures to create an accurate diagnostic test or severity measure (this is called classification). Importantly, we believe these signatures are consistent across the population and not specific to an individual so there is no need for a personalized database Following are the steps the app will take:
Receive an audio signal from the user's phone microphone
Filter the signal so as to improve its quality and remove background noise
Run the signal through an artificial neural network which will decide whether it is an usable breathing or cough signal
Convert the signal into a frequency-based representation (spectrogram)
Run the signal through a conveniently trained artificial neural network that would predict the user's condition and possible illness
Store features of the audio signal when the classification indicates a symptom
IMPACT
FACO will help patients get themselves tested at home, supporting in areas where tests and access to tests are limited. This will help democratize care in hard-to-reach or resource-strapped areas, and provide peace of mind so that patients will not overwhelm already stressed healthcare systems. Doctors will be able to prioritize patients with an urgent need related to their speciality, providing care from the palm of their hand, limiting their exposure and travel time.
CHALLENGES WE RAN INTO
No financial support
Working under quarantine measures
Working in different time-zones
Scarcity of high-quality data sets to train our models with
One Feature Related Problem- Legal shortcomings we might face when adding the tracking patient feature
ACCOMPLISHMENTS
We went from initial concept to a full working prototype. We got a jumpstart on organizational strategy, revenue and business plans—laying the groundwork for building partnerships with healthcare providers and pharmacies. On the creative side, we built our foundational brand and design system, and created over 40 screens to develop a fully working prototype of our digital experience. Our prototype models nearly the entire app experience—from recording respiratory sounds to reporting to managing contact, care, and prescriptions with physicians. Technologically, we successfully developed an algorithm for disease and have begun the application development process—well on our way to making this a fully functional product within the next 20 days.
You can explore the
full prototype here
or
watch the demo
(and
check out our promo gif
)!
WHAT WE'VE DONE SO FAR
We wanted to show that the project is feasible. Scientific literature has shown that audio data can help diagnose respiratory diseases. We provide some references below. However, it is unclear how reliable such a model would be in real situations.
For that reason, we used a publicly available annotated
dataset
of cough samples:
It is a collection of audio files in wav format classified into four different categories.
We wrote code in Python that converts those samples into MEL spectrograms. For the time being we are not using the MEL scale, just the spectrograms. We did several kinds of pre-processing of the signals, including data augmentation, then convert all pre-processed signals, along with their categories into a
databunch
object that can be used for training artificial neural networks created in the fastai library. The signals within the databunch were divided into training and validation sets.
Because the dataset size was reduced, we used
transfer learning
. That is, we used previously trained networks as a starting point, rather than training from scratch. We treated the spectrograms as if it were images and used powerful models pre-trained to classify images from large datasets. In particular, we tried both two variants of
resnet
and two variants of
VGG
differing on their depth (number of hidden layers). This approach implied turning the sprectograms into image-like representations and normalizing them according to the statistics of the original dataset our models were trained on (imagenet). We first changed the head of the networks to one that would classify according to our categories and trained only that part of the net,
freezing
the rest. Later on we
unfroze
the rest of the net and further trained it. We finally compared the different models by the confusion matrices that we obtained from the validation test. We finally settled on a model based on
VGG19
. We exported the model for later use in classifying audio samples through the pre-existing interface of our mobile app.
The results are promising, especially considering the small amount of data that we have available at this moment. We have included an image of the final confusion matrix that shows how our current network can correctly classify all four categories of signal about 50% of the time, far better than the random level of 25%. We conclude that wav files obtained trough a phone mic provide information that can be useful for diagnosing respiratory condition. We are confident that we can vastly improve both the sensitivity and the specificity of our model if we can gain access to larger, more representative datasets.
We provide an image of the final confusion matrix for our model in the gallery.
This is a
repository
that contains the most important pieces of our work, including some code, the confusion matrix image and the exported final model.
SUMMARY
We are developing digital healthcare solutions to assist doctors and empower patients to diagnose and manage diseases. We are creating easy to use, affordable, clinically validated and regulatory cleared diagnostic tools that only require a smartphone. Our solutions are designed to be easily integrated into existing tele-health solutions and we are also working on apps to provide respiratory disease diagnosis and management directly to consumers and healthcare providers.
Feel free to click on our
website
for more information. We developed this website using Javascript, HTML, CSS, Figma, and integrated it with Firebase to manage hosting and our database. Thank you for reading, and don't hesitate to reach out if you have any questions!
REFERENCES
Porter P, Claxton S, Wood J, Peltonen V, Brisbane J, Purdie F, Smith C, Bear N, Abeyratne U,
Diagnosis of Chronic Obstructive Pulmonary Disease (COPD) Exacerbations Using a Smartphone-Based, Cough Centred Algorithm, ERS 2019, October 1, 2019.
Porter P, Abeyratne U, Swarnkar V, Tan J, Ng T, Brisbane JM, Speldewinde D, Choveaux J, Sharan R, Kosasih K and Della, P,
A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centered analytic system for the identification of common respiratory disorders in children,
Respiratory Research 20(81), 2019
Moschovis PP, Sampayo EM, Porter P, Abeyratne U, Doros G, Swarnkar V, Sharan R, Carl JC,
A Cough Analysis Smartphone Application for Diagnosis of Acute Respiratory Illnesses in Children, ATS 2019, May 19, 2019.
Sharan RV, Abeyratne UR, Swarnkar VR, Porter P,
Automatic croup diagnosis using cough sound recognition, IEEE Transactions on Biomedical Engineering 66(2), 2019.
Kosasih K, Abeyratne UR,
Exhaustive mathematical analysis of simple clinical measurements for childhood pneumonia diagnosis, World Journal of Pediatrics 13(5), 2017.
Kosasih K, Abeyratne UR, Swarnkar V, Triasih R,
Wavelet augmented cough analysis for rapid childhood pneumonia diagnosis, IEEE Transactions on Biomedical Engineering 62(4), 2015.
Amrulloh YA, Abeyratne UR, Swarnkar V, Triasih R, Setyati A,
Automatic cough segmentation from non-contact sound recordings in pediatric wards, Biomedical Signal Processing and Control 21, 2015.
Swarnkar V, Abeyratne UR, Chang AB, Amrulloh YA, Setyati A, Triasih R,
Automatic identification of wet and dry cough in pediatric patients with respiratory diseases, Annals Biomedical Engineering 41(5), 2013.
Abeyratne UR, Swarnkar V, Setyati A, Triasih R,
Cough sound analysis can rapidly diagnose childhood pneumonia, Annals Biomedical Engineering 41(11), 2013.
FACO APP VIDEO DEMO
LINK
FACO PRESENTATION
LINK
FACO 1st Pilot Web App
LINK
Built With
android-studio
doubango
fastai
firebase
google-cloud
google-maps
java
machine-learning
mysql
numpy
pandas
python
pytorch
sklearn
sound-monitoring-and-matching-api
spyder
webrtc
Try it out
github.com | FACO: Fight Against Corona | A contactless digital healthcare solution to assist doctors and empower patients to diagnose and manage diseases | ['Archit Suryawanshi', 'Oghenetejiri Agbodoroba', 'Ntongha Ibiang', 'Sahil Singhavi', 'Ruthy Levi', 'Navneet Gupta', 'Mohamed Hany', 'Prachi Sonje', 'GAVAKSHIT VERMA', 'Shraddha Nemane', 'snikita312', 'Gauri Thukral', 'udit agarwal', 'Francisco Tornay', 'Rubén Aguilera García'] | ['1st place', 'The Best Women-Led Team'] | ['android-studio', 'doubango', 'fastai', 'firebase', 'google-cloud', 'google-maps', 'java', 'machine-learning', 'mysql', 'numpy', 'pandas', 'python', 'pytorch', 'sklearn', 'sound-monitoring-and-matching-api', 'spyder', 'webrtc'] | 146 |
9,927 | https://devpost.com/software/cybermike-2 | App Screenshot
Facebook page banner
Inspiration
Flash applet at
https://albinoblacksheep.com/flash/mike
is no longer compatible today. So I decided to continue the project in another way.
What it does
Provides a self help decision path for persons with suicidal or murderous tendencies.
How I built it
Made it using Chatfuel.
Challenges I ran into
Initially was supposed to use Dialogflow / Botman framework, however there are logistical difficulties in getting them to communicate with the Messenger platform properly.
With time running out, the prototype was made using Chatfuel.
Chat also got stuck on the first message. Did not realise that the setting in the Facebook page Messenger platform section had an option for 1st contact message that needed to be set to the Chatfuel.
Accomplishments that I'm proud of
The bot working properly.
What I learned
Using Chatfuel, linking up the Facebook Messenger platform to the proper App so that it can communicate well and not get stuck on the first message.
What's next for CyberMike 2
Expanding using natural langauge processing and having more menu options with a friendlier conversational interface. Shift back to using Dialogflow due to its built-in machine learning and natural language processing.
Built With
chatfuel
facebook
facebook-chat
facebook-messenger
html5
messenger
Try it out
m.me
www.facebook.com | CyberMike 2 | A self help chatbot to direct persons with suicidal tendencies to relevant entities or persons or help resolve the issue. | ['Salocin.TEN .'] | [] | ['chatfuel', 'facebook', 'facebook-chat', 'facebook-messenger', 'html5', 'messenger'] | 147 |
9,927 | https://devpost.com/software/covid-fyi | Why we built this-
Critical information
on where to go, who to call, and what to do is scattered across gazillion tweets, websites, Whatsapp forwards. There is
no one place
for all official information for Citizens. The information is
not standardized
- they exist in non-standardized circulars. These are often
too technical
for the common man. With cases rising,
Chaos
and
misinformation
might only aggravate.
What does it do-
COVID FYI brings updated information from all
official sources
at all levels of granularity (National to Hyperlocal Data) on resources a common man could access to alleviate their problems, report emergencies or provide help. It brings the list of labs, hospitals, helpline, telemedicine, fever clinics, grocery store numbers etc. at one place such that a common man is aware.
How we built this-
We created a
nationwide database
with a team of Data folks, collating data manually across government websites releasing circulars and announcements on a daily basis. This database is used to power a frontend UI that is
user friendly
to provide only relevant information to each stakeholder and use case. If you are a
citizen
you would be more interested in testing facilities and helpline. If you are a
supplier
you could access control room numbers etc.
Challeneges we face-
Data is of such
varying forms
, at so many places, far away from the reach of common man - finding them all was a tedious task. Every day these circulars were updated, thus we needed to keep a check. There were so many classifications and sub-classifications, making it all the more difficult to decide on the right user flow (Eg. Labs include - Private, Government, Only Testing facility, Only Sample collection facility etc.)
Achievements we are proud of-
Several
startups
showed positive interest to partner with us.
Mapmyindia
wanted to provide us APIs to link location for all data.
Livehealth
an international e-diagnostic startup wanted to provide sample collection facility through them, handling the Lab-side of the market with their team, putbnb a
crowdsourcing platform
offered to crowdsource our database. Our idea was demo-ed at
Coronathon.in
(Indian Corona-Hackathon) and was also selected for
HackTheCrisis India top 300
. We have received appreciation from
several VC firms
and startups in Indian space.
Indian Institute of Management Kozhikode
is our strong pillar of support to provide outreach and media help to promote our project.
Our team
grew from mere 5 member team to 25+ (including volunteers). Without investing a single penny we have created this product in
record 5 days
.
What we learned-
We learned that though important, it is difficult to access
high-level government officials
directly. We initially thought to
partner with big brands
to put our best foot forward and scale faster. However we realised we need
proof of concept
to show the validity of our idea. Hence now our focus is to not ask for any help, and first build the initial 1lac or 0.1million users, have some numbers to speak for idea. We learnt a lot from each other's skills and got to know a lot about other areas.
Our plans for the future-
In the near future we are implementing our website for
India-wide launch
using organic mediums. We will work on extra features- Location tagging, API integration to help other projects. Since the Database is a never ending
Work-in-progress
in times like these, we will constantly update and work to add more official data. For this we are looking to work for, and work with several
state governments
.
Built With
djangorestframework
flask
google-cloud
heroku
mongodb
netlify
postgresql
react
vuejs
Try it out
covidfyi.in
github.com
github.com | COVID FYI | One-stop platform for the citizens to access covid-related services and help from official government sources. | ['Prateek Katiyar', 'Mohammed Zeeshan Fatmi', 'Sujit Joshi', 'G Rohit', 'Yogesh Bhatt', 'Vishesh Agrawal', 'Tanmay Mundra', 'saathwik chandan', 'Aliasgar Kundawala', 'Utkarsh Gupta', 'Manan Gouhari', 'SIMRAN SONI'] | [] | ['djangorestframework', 'flask', 'google-cloud', 'heroku', 'mongodb', 'netlify', 'postgresql', 'react', 'vuejs'] | 148 |
9,927 | 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'] | 149 |
9,927 | https://devpost.com/software/immediate-claim-notification-and-settlement-during-covid19 | Subject
Introduction and challenges
Idea
Major benefits
Risk analysis and investigation
Over all benefits
Thanks
Now during this pandemic situation there is challenge in sending claim notification and also there is a delay in settlement of any claim. This is mainly due to restrictions during lock down for investigation and also many other factors.
In the current scenario whenever there is a claim , broker will be notified in most of the cases and then forwarded to Processing team. Usually there will be a delay in settlement of claim.
Covid 19 claims as well as any claim notification can be made easier by including QR code facility in to insurance. Currently QR code is used widely across many other financial platforms for payments. Latest technologies like Image recognition, Data Analytics and drones can be used for investigation and settlement of claim.
So far insurance sector has not started using QR code for claim notification. This would be really helpful for clients for faster notification of claim and also helps for immediate settlement.
Idea - Introduction of barcode for immediate Loss notification during covid -19.
Each policy number should be assigned with a QR code. Details about a insurance policy should be recorded in the QR code. When a customer wanted to submit a Covid claim or any claim. Customer have to open the website of an insurance company in a mobile phone and select submit a claim option. And place customer’s QR code of insurance policy contract printed in policy document (Hard copy ,pdf and all the physical documents) against the QR code scanner in the insurance company website and details pertaining to the policy pops up.
The carrier in turn would send one time password (OTP) to mobile number existing in their records. The OTP would then be used to validate the user. Customer just need to mention Loss description and Date of loss to the relevant field and attach any photo or video related to the loss. And then click on submit. An immediate notification would trigger to back end team of insurance company for immediate processing and also to a broker.
Note : GPS option can also be included since its automatically capture loss location details. User can also enter Loss location details manually
Major advantage :
This really saves time of a customer especially during critical situations like Covid -19 when there is a need of urgency.
Even if a customer missed to carry or lost QR code printed policy document during quarantine period the details of policy can be easily retrieved using registered mobile number. In this scenario registered mobile number needs to be entered in the place provided for Forgot policy number in the website.
The carrier in turn would send one time password (OTP) to mobile number existing in their records. The OTP would then be used to validate the user. And rest of the details can be entered.
This procedure really saves time and can be done with out any hassles.
Risk analysis and investigation
Risk analysis and investigation (Fraud check) can be done using Data analytics instead of traditional methods. During situations like Covid - 19 Drones fitted with cameras can also be used for investigation of claims. Remote sensing technology can be used in some cases.
Health insurance claim
Covid-19 cases can be directly linked to an accurate Quarantine app with medical records of quarantine patient attached(Applicable for health related claim).This helps for faster analysis and investigation of a claim. This facility makes faster settlement of covid-19 claim .
Live chat option can be provided in the Website for direct communication with client and claim handler. This really helps for clearing any queries.
Overall benefits are -
1.Immediate notification of claim during emergency situation like Covid-19.
2.Speedy processing of claim.
This ensure Human safety since there is no direct contact between client.
4.Cost effective technology
Customer retention
6.Customer satisfaction
7.Reduction in admin costs to the insurer.
8.Faster settlement of claim.
9.Less time required for investigation
Built With
dataanalytics
gps
qrcode | Immediate claim notification and settlement during Covid19 | faster notification of a covid claim or any claim by using QR code facility.So far insurance companies has not started using this technology for immediate claim notification and speedy settlements. | ['ROSHITH NIRMAL', 'Rajendra Bonam'] | [] | ['dataanalytics', 'gps', 'qrcode'] | 150 |
9,927 | https://devpost.com/software/multi-use-quarantine-app-for-covid-19 | Caption
Introduction
Idea
Advantage
Overall benefits
This is a mult use quarantine app which uses AI technology and geofencing to combat covid -19.This has a voice enabled facility for self diagnose ,location tracking ,emergency assistance etc.
Idea - Multiple featured Quarantine app and usage of Thermal scanner with drones.
1) This is a multi use quarantine app where patients who are tested positive will install this app and get connected with doctors with just 1-click for any help/support. This app also enables patients to chat or voice call doctor.
2) As we don't have same doctor round the clock, the history of the patient is already captured in the app and any new doctor can help patient with in short time.
3) As and when a doctor updates status of the patient, there will be an information passed to government with details. This will enable government to take necessary decisions.
4) Any news/information that needs to be cascaded to only patients, will be easily communicated through app by government or doctors.
5) Also, this app gives a clear detail of wherever the quarantined patients are available using GPS system. This will give a clear view to government to take necessary decisions.
6) This app can also be installed by patients who are tested negative. Once they install they will be given with different set of scenario questions on daily basis, where the end result gives a probable symptom which may lead to COVID -19 using AI technology. If probable, results cross the accepted score, then automatic notification is triggered to respective parties to action immediately.
7).This app ensures 100% data protection and strictly adhered to all the policies of the Govt.
8 ) Acoustic Throat infection Analysis
One of the main feature of this Voice enable app is it detects throat infection with out touching a patient be creating a voice print of the person when she/ he is completely healthy ,which is used to compare the voice when she/he has an infection.
The technique involves recording a specific words (especially those that emphasize the throat and lungs )spoken by a person using any device ,be it desktop ,tablet ,mobile etc.
The recorded sound is processed using an application and analyze to generate a cepstrum using tonal estimation and demodulation of noise. The spectral details help create an acoustic signature of the person .
Further recording of the same words by the same person at a later instance can be digitally compared in a classifier with his /her acoustics signature for variations that hint at throat infection. This method can be useful for preliminary examinations.
9).This is a Voice enabled Quarantine app with multiple features ,which will track the patients who are in home quarantine and those who have tested positive. And also identify the location of the affected patients so that the locations can be marked as unsafe or risky. The application track the COVID-19 suspects who have been quarantined through the Geofencing technology, which marks a virtual geographic area and triggers a voice response and alert message if an individual exits or enters the boundary.
10).Once app is registered with username ,address and Quarantined status (Y/N) the details related to patient would be captured in the main server of Health dept.
Main Features
This App permits a person to do preliminary examination(Self assessment Test) by answering few questions
This App will have option of Live Video /audio chat.Its easier for a patient to interact with Health personnel for any queries.
Provide regular message/Voice alert on remaining days left for a quarantine patient.
Provide regular Health tips.
Easy to prepare root map of a patient with this app.
Option of emergency assistance using SOS facility.
This app also give alert (Voice) about intake of medicines on regular intervals.
Live updates on Covid -19
In case the GPS data is not received, the location will be obtained automatically through the triangulation of mobile towers. (Triangulation - Multiple towers are used to track the phone's location by measuring the time delay that a signal takes to return back to the towers from the phone. This delay is then calculated into distance and gives a fairly accurate location of the phone.)
If the Internet is not working in a certain area, the location will be received through SMS. If the application gets off, an alert will be received immediately. The location of the person can be received by sending an SMS to the device. It allows the sharing of quarantined persons/places photographs on a Google map, uploading geotag image to a server.
Steps to download and register the app.
1.Download the app
2.Enter Name and Address
3 .Are you quarantined – Yes/No
4.Click on submit.
11) .Thermal scanner & Drone(unmanned aerial vehicle) :
Law enforcement and surveillance can use Drone fitted with thermal scanners during an epidemic to the next level with the help of Artificial intelligence. This can read temperature of people in the crowd ,spray disinfectants ,collect medical sample and carry out emergency deliveries over long distance with minimal human touch points.
Even drones can be used to provide medical assistance to Quarantined patients.
Overall Benefits of Quarantine app.
1.Live alert
2.User friendly.
3.Live alerts through Voice and SMS.
4.Emergency assistance alert.
5.Live updates on Covid -19.
6.Health consultation through video call.
7.Quarantined days alert.
Built With
api
gps | Multi use Quarantine app for Covid -19 | This is a mult use quarantine app which uses AI technology and geofencing to combat covid -19.This has a voice enabled facility for self diagnose ,location tracking ,emergency assistance etc. | ['ROSHITH NIRMAL'] | [] | ['api', 'gps'] | 151 |
9,927 | https://devpost.com/software/chatlaunch | Inspiration
The coronavirus pandemic is proving to be a disaster for small and medium-sized enterprises across Europe:
Thousands of SMBs in Europe have reported that COVID-19 is negatively impacting their businesses,
"SMBs have already or are planning to lay off salaried employees, and/or reduce their working hours".
The corona Virus has affected Small and medium sized-businesses causing temporary suspension, activity, and employee working hours reduction. Many are struggling to stay afloat. There are about 23 million businesses across Europe that play a major role in the European Economy. Creating about 80% of new jobs in the past 5 years.
Some of us have personally come from a family with small businesses and struggling for the same reason.
Problems we are seeing : 1) Unemployment 2) The decrease in sales, that has led to bankruptcy 3) Lack of marketing and business exposure 4) Remote locations for businesses, products/items/ customers
ChatLaunch is aiming to solve those issues. A virtual assistant that connects small and medium businesses and customers with products and items that are closest in location through Whatsapp & Messenger.
What we are solving: Customer have access to items/products closest to them Businesses will increase and generate more sales Exposure of their local business Keeping or creating jobs
What it does
We intend to save millions of jobs during the crisis and allow Europe's economic engine to quickly restart afterward, by connecting local businesses with customers across their country through WhatsApp & Messenger!
Using Natural Language Processing models to identify customers needs, such as quality, prices, products nearest to them
Case #1: Local Business register
Case #2: Customer order from local stores
How I built it
We use Natural Language Processing models to automate the sales process of SMBs; their products and/or services... Then, we connect the NLP model to FB Messenger and Whatsapp API to capture Parameters from the conversations and provide the users the best option.
Challenges I ran into
-GDPR Compliance
The challenges we faced were that we wanted to make sure that customers would obtain desired items/products from the nearest business and wonder how would this work.
We solve this by having a platform where all customers’ orders appear in one place where business owners would take the order as confirming they have these items/products and process the purchase.
Accomplishments that I'm proud of
We understand that most local businesses lack technology and digital knowledge. We are proud to bring a solution that is accessible and usable by the majority of the population, and business owners taking advantage of this through Whatsapp and Messenger. Helping them digitalize their sales with just typing.
Whatsapp Virtual Agent: (Testing Instructions):
1- Add the phone number as a contact: +1 415 523 8886
2- Write the command: *Join *
3- Start the conversation: "Hi", "Sell my products", "Let's start" or any other
Disclaimer: The following phone number is a Sandbox owned by Twilio Inc, a USA company based in San Francisco, California.
We are also very proud of how well we have worked together regardless of being in different countries and being FROM different cultures and diverse backgrounds.
Our goal is to bring help and make the current situation better, and to prove that we can bring everyone and work together with the same mission
What I learned
On a Vox.com Article states: Based on research performed by capital economics this pandemic could result in a 15% quarterly drop of the eurozone gross domestic product in the second quarter. The previous record was 3.2% in the first quarter of 2009
As a team, we faced many challenges on how to bring solutions to better the economy in Europe since there are a lot of factors to take into consideration.
We had a lot of support a great mentorship and as a team we shared ideas, brainstormed, and did design thinking sessions. We learned and understood better how chatbots can be very beneficial for businesses now more than ever.
We are confident that ChatLaunch will make a positive impact on small and medium-sized business
What's next for ChatLaunch
We will build a platform, marketplace for small businesses to be able to manage their sales as they increase thanks to this platform
We are looking to build a network of businesses and customers where they can easily get what they need and want. -Partnering with thousands of SMBs across Europe | ChatLaunch | Automating the process to generate and increase sales for local Small & Medium Businesses (SMBs) through WA | ['Camilo Andres Montañez Aldana', 'M. Leon Martin', 'Lissa Ng'] | [] | [] | 152 |
9,927 | https://devpost.com/software/bacty | Inspiration
Across the world, hospitals are collapsed because of thousands of citizens requesting medical services related to the pandemic. Just in Europe, over 1 073 947 people are directly affected by COVID19, and we got really inspired by a real story of a Doctor, that writes in an article "I’m a Doctor in Italy. We Have Never Seen Anything Like This, my country’s health care system may soon collapse. None of us have ever experienced a tragedy like this."
The coronavirus COVID-19 has reached our cities, crossing borders and radically modifying our daily lives. The exceptional nature of the situation means that each and every one of us has to invest efforts that help stop this pandemic, but how can we do it?
So our team start thinking: What if we start promoting telemedicine and digitalising the consults related to symptoms or where to find hospitals, test labs, food or hygiene products. Also helping to fight Fake news and providing motivational content for any person passing through this hard moment.
Telemedicine & consultations online has great advantages: we do not saturate Hospitals with non-urgent visits, we lower the potential infection of doctors and also we reduce the number of displacement and, therefore, the contacts that may cause the spread of the virus.
*Hospitals are collapsing because of the overwhelming request of medical services related to this pandemic. * And this are also other problems we are seeing and it inspire us to build this solution: 1) Healthy individuals with lack of knowledge and inaccurate information unnecessarily going to the hospital with the risk of being exposed to the virus. 2) Waiting times prolonged for people that need the immediate attention. 3) Hospitals Exceeding their capacity & resources with non-emergency cases.
What it does
Through a virtual assistant that runs on WhatsApp, we provide non-emergency support, an through Natural Language Processing models we try to understand how the users feels during the day, for example:
User say: "Bad, I feel very sick" I think that I'm infected Please connect me with a Telemedicine Volunteers
Marie resides in a remote town in Sussex in England, and during several weeks she presented pronounced cough and headaches. So, she start getting worried, and decided to consult a doctor, but this time she doesn't move from her home, and she will be treated in Amsterdam, 7,300 kilometers away. How? She turn on the mobile, open her WhatsApp and connect to a video call, detail her symptoms in the conversation, and wait for a doctor to connect to the call.
User say: "I'm ok, just looking for information" I live in Santiago de Chile and I want to track Today's news about COVID-19, find Hospitals near me, Test Labs, find Food and Hygiene products or identify a Fake new.
via GIPHY
User say: "I want to become a Volunteer" Doctors, Pharmaceutics, Psychologists, among other health workers can become members to our Volunteer Global Telemedicine network. Become a Hero
DISCLAIMER:
As the Developers Experts of this project, we suggest that the implementation of this platform it runs with our team consultancy technical support and the European Commission or an European Trusted Entity ownership of the project that would be responsable of:
Data Protection,
GDPR Compliance
Data Protection Officer
Privacy Policy
& Others
How we built it
We use Natural Language Processing models to understand what users are saying and typing... We connect the NLP model to FB Messenger and Whatsapp API to capture Parameters from the conversations and provide the users the best option.
Also, this effort wouldn't be possible with the support of over 100 Developers and Citizens that help us on task's such as Testing, conversational design, communication among others. Their names are: Daniel Rojas Roa (VR/AR Developer), Andrey (Health Coach), Joshua Pedraza (AI Developer) & many other testers of the platforms across countries like: Canada, United States, México, Guatemala, Brasil, Chile, Costa Rica, Colombia, Spain and others.
Challenges we ran into
-Terms of Use of Messenger & Whatsapp for Business API for Emergencies Services.
-Train the model in different areas such as: Feeling Bad or Sick, Feeling ok and looking for news, places or products, and Becoming a Volunteer.
Accomplishments that we're proud of
Whatsapp Virtual Agent: (Testing Instructions):
1- Add the phone number as a contact: +1 415 523 8886
2- Write the command: *Join *
3- Start the conversation: "Hi", "Heeelp", "Let's start" or any other
Disclaimer: The following phone number is a Sandbox owned by Twilio Inc, a USA company based in San Francisco, California.
Open Github Repo to our solution
Terms of Use
What we learned
Contribution with multiple countries to address this pandemic can help us have a better context of the challenges that we share and which one are really different, make a match between them and scale a powerful solution against human main challenges, such as COVID19.
Telemedicine is an effective first filter and allows Medical & Health center's to allocate available resources to those critical cases who really need them. In addition, using remote control terminals, it facilitates the monitoring of chronically ill patients, to whom treatment is provided at home whenever possible.
What's next for Bacty Bot
Build cheap Telemedicine equipment
Empower Doctors across the world
//Disclaimer: Opinions are our own, not of any company, program or their products. Each Developer Expert is fully responsible of their services, and is not affiliated with other Company nor do they offer services on behalf of a Tech Company. Customers are fully responsible for their use of services, if any. This code is a sample, should not be used for any potential production workloads.//
Built With
facebook-messenger
machine-learning
natural-language-processing
whatsapp-api
Try it out
youtu.be
youtu.be
GitHub Repo
youtu.be
Built With
dialogflow
ibm-watson
javascript
whatsapp | Bacty | We connect Health Professionals and accurate information with possible COVID19 victims in Europe through WA & Web | ['Camilo Andres Montañez Aldana', 'M. Leon Martin', 'Lissa Ng'] | [] | ['dialogflow', 'ibm-watson', 'javascript', 'whatsapp'] | 153 |
9,927 | https://devpost.com/software/covid-xn8iow | Inspiration
In November 2018, we competed in the Congressional App Challenge in U.S. Representative Eddie Bernice Johnson’s congressional district. Since we had numerous relatives who have Alzheimer’s Disease or other forms of dementia, we were inspired to combine our passions in community service and technology to design an app for Alzheimer’s patients. Following two years of refinement and development, we won our district’s Congressional App Challenge. The U.S. House of Representatives invited us to go to Washington, DC, to present this app to the U.S. House of Representatives (
link
.)
The rising impact of the COVID-19 outbreak on a community, regional, national, and international level inspired us to use our mobile app development experiences to find a solution that addresses major areas of the problem. As children, we realized that isolation and social distancing could lead to stressful situations for numerous individuals, particularly children. As a result of this, we learned that children who live in an abusive situation are at more substantial risk. This risk is especially significant due to the isolation that COVID-19 mandates. We realized that community members need to have a greater awareness of the signs and symptoms of child abuse and neglect during this stressful time and the numerous resources available to the children who fall victim to subsequent maltreatment. This risk, experts have shown, could result from isolation, lack of answers, lack of structure to the day, and the lack of things to look forward to - all effects of COVID-19.
As students, we believe we can impact society, big or small, with our idea. Technology is indeed the future, and we need to make sure that we adopt the tools that we use to help, entertain, to assist child abuse victims in being very reflective of these advances. Furthermore, we hope to use our application to inspire and encourage other involved students in our district and even around the state to get involved in coding and also develop their apps for problems that are personal to them. If we were to win the competition, we plan to continue to use our platform to help further encourage and inspire others and show other legislators the importance of the problem we are trying to address.
What it does
Our application, Coaware (COVID + Aware), contains a questionnaire/checklist consisting of eight questions designed in collaboration with child abuse prevention experts such as the Baltimore Children's Advocacy Center.
The checklist contains a different method for users to organize their thoughts but contains the same question format. Next, the app provides an option to provide the user with child abuse prevention hotlines or children's advocacy centers. If the user toggles this option, the app will provide these resources based on their location.
However, according to many experts, Coaware's most important feature is its generation of
email logs
. These logs provide users with a method to organize their thoughts, allowing them to access a particular child's responses from weeks or even months. When the user reports child abuse, they can detail previous dates alongside specific symptoms of child abuse the child was exhibiting at the time.
How we built it
We built our application using Java and XML in Android Studio. We used a relative layout format with tab-based fragments for the first tab and a corresponding layout design with intent fillers for the second tab’s functionality. For the user interface, we utilized AAA contrast for the vast majority of the app to enhance usability and readability for all users.
Challenges we ran into
Our first significant difficulty was to make the application and user-interface simple enough to be operated by any individual. We had to navigate and test out various fonts, image sizes, color combinations, and table setups to make sure that the app was clean and simple to operate without compromising the usefulness of its features.
The second technical challenge we faced in creating the application was making sure that it would be functional across various Android Platforms. The problems that we ran into would vary from device to device, so it was challenging to come up with a solution that worked for every single one and didn’t create problems of its own. We ran several tests on a variety of Android emulators and tested the application on a wide array of personal devices and were eventually able to come up with a solution that worked across the boards. This process was eye-opening for us, as we never realized how seemingly small changes could have drastic impacts on different devices.
The final challenge we are currently dealing with is getting Coaware into the hands of the people who need it the most. We are currently in discussions with schools and children's advocacy centers to accomplish this task.
Accomplishments that we’re proud of
Some accomplishments that we’re proud of deal with our app for Alzheimer’s patients, AlzBuddy, which inspired us to make this app. The U.S. House of Representatives invited us to showcase AlzBuddy to them in the U.S. Capitol Building. Individually, numerous State and National Congresspeople have invited us to demonstrate our application. Fox 4 News also interviewed us (
link
). AlzBuddy was also named the 1st Runner-Up in the national Diamond Challenge at the Sam Houston State University Pitch Location. We are also proud to have many downloads after approval of our application onto the Google Play Store. We want to use our experience and success to continue to propel Coaware to help children globally. Additionally, our group was named Conrad Innovators by the Conrad Foundation for both AlzBuddy and Coaware.
What’s next for Coaware App
Overall we are delighted with our final product, and we were able to make a lot of improvements from the last app we created to this one. That said, we would always love to be able to improve the app even more, and we know that there are improvements to be made, we just didn’t have the time to make all of them. We know that we can always improve, incorporate more valuable feedback, and learn from our mistakes. One challenge that we would have to face if we decided to develop the app, however, would be maintaining a clean, simple interface despite having more functions. In this specific field, we have to understand that less is sometimes more. Potential technological additions will include modules and relaxing games for child abuse victims, networks for victims to share their stories in a peer-network, as well as possible chatting services within the app in partnership with abuse hotlines.
We are currently in the process of publishing our application in the Google Play Store as well as developing an iOS version of our app. In addition to this, we are working on collaborating with various non-profit organizations that specialize in child abuse awareness at a community and regional level. We have objectively networked with various legislators to start district initiatives and launches of our application.
Success in this global hackathon will help us launch Coaware worldwide to protect the thousands of children that fall victim to child abuse.
We are also looking to expand our app to other areas, such as domestic violence, whose rates, unfortunately, skyrocketed during the coronavirus pandemic.
Built With
android-studio
java
xml
Try it out
play.google.com | Coaware | Our application, Coaware (COVID19 + Aware), has functionalities designed for emergency situations regarding child abuse prevention, a rising social issue due to increased isolation from COVID-19. | ['A B', 'Vedant Tapiavala'] | [] | ['android-studio', 'java', 'xml'] | 154 |
9,927 | https://devpost.com/software/alois-memory-care-assistant | Features
AlzBuddy is an interactive memory care assistant designed to improve the lives of Alzheimer's patients around the world. The tool is particularly useful in nursing home settings and applications. The tool itself has 6 main "tabs" with specific functionalities aimed to improve multiple facets of the patient's life.
The first tab is the "Sounds" module. The Sounds modules contains a variety of songs and commercials from the 1960s and 1970s that can help jog the memory of Alzheimer's patients. The app also contains common animal sounds, which is a great activity to help the patient remember various aspects of common life effectively.
The second tab of the app is the "Game" module. The Game module contains an interactive coloring game designed to help Alzheimer's patients with coordination and focus. The game itself was recommended by a medical doctor with decades of experience in the field. The game requires users to color corresponding buttons based on a provided task.
The third tab of the application is the "Notes" module. The Notes module contains a page that allows users to type in different reminders, messages, or statements easily. The module also includes a speech-to-text feature for patients who may prefer not to type or unable to do so. The notes can easily be cleared as well.
The fourth tab of the application is the "Facts" module. The Facts module of the app contains different information that is aimed at helping to orient the user in their surroundings. The facts page includes the date, the time, and the location, based on detected values. It additionally includes a simple image that helps point important directions for orientation purposes.
The fifth tab of the application is the "Pictures" module. The Pictures module of the app includes pictures of various world leaders, famous locations, celebrities, and more. This is designed to help jog the memory of the patient and generally serve as a talking point for 1-to-1 caregiving. The module also has a button that helps the user go to their gallery efficiently.
The sixth tab of the application is the "Vibrations" module. The Vibrations module contains soothing vibration patterns that are aimed at engaging the patient and providing tactile input. This is a simple module that works with the click of a button.
Events
We are also going to several events soon to market our app further. One event we are going to is an event near Austin, TX in August 2021. Over 700 nursing home and healthcare professionals are expected to show up, alongside several hundred potential consumers. The event is specifically about Alzheimer’s Disease and dementia, which increases the likelihood that the individual people can either become users of our app or tell a loved one who has dementia to use Alois. This event will be a significant event in terms of marketing for Alois. Many nursing home chains in Texas have nursing homes outside of Texas and even outside of the United States. If we become acquainted with these nursing home chains, we can expand to other nursing homes in the nursing home chains outside of Texas and internationally.
What's Next
There are multiple key additions we are planning to make to the application in the future. These new features will be designed to expand the functionalities of the app to be more useful for broader market groups and diverse communities.
The language-expansion of the application will involve the addition of new languages, including Spanish, Hindi, Mandarin Chinese, and French. We are working with volunteer translators to make this happen, and this will generally aid us in expanding to diverse marketplaces across the world.
We additionally are looking into new modules in the application that could do the following: assist caregivers specifically, add features for later-stage patients, allow for greater interactivity, and provide higher-functionality games and visuals.
Finally, we are looking into the general market-expansion of the app for new cognitive disorders. This would include expansion into new conditions like Parkinson's, general dementia, and Traumatic Brain Injury. It also would include rebranding initiatives to attract patients and diminish stigma and greater module customization and interactivity
assistive gadgets/plug-ins to enhance the experience.
Built With
android-studio
java
xml
Try it out
play.google.com | AlzBuddy - Memory Care Assistant | Our application provides a user-friendly and straightforward way to assist, entertain, and engage dementia patients around the world. | ['Vedant Tapiavala', 'A B'] | [] | ['android-studio', 'java', 'xml'] | 155 |
9,928 | https://devpost.com/software/my-health-risk | Project title & challenge name
What challenge are you trying to solve and why does it matter
Your solution explained and why it’s feasible
Inspiration
Toby Messier, MD: "Many healthcare professionals go through immense stress and end up in long burnouts before ever realizing that they are in trouble and they need help. They are often so focused on helping others that taking care of themselves is forgotten.
This causes the problem that they are pushed too far, to the point of taking leaves of absence for burnout, sometimes very long extended leaves from the profession they used to love.
If we could systematically detect symptoms of burnout early in healthcare professionals, action could be taken early to prevent these prolonged and sometimes permanent work leaves."
What it does
We developed a platform that surveys healthcare professionals to identify early signs of burnout and recommend taking action if necessary.
How we built it
It was build on top of Aquantix AI's The Risk Tracker platform.
Accomplishments that we're proud of
The platform is built on a scalable infrastructure that can host up to millions of users if necessary.
What's next for My Health Risk
Expand early detection of burnout & professional fatigue symptoms to workers outside of healthcare.
Integrate "My health Risk - Early Burnout Detection System in Healthcare Workers" within The Risk Tracker platform
Built With
docker
javascript
kubernetes
mysql
Try it out
www.therisktracker.com | My Health Risk | Early Burnout Detection System in Healthcare Workers | ['Steven Fortier', 'Toby Messier'] | ['Category Winer'] | ['docker', 'javascript', 'kubernetes', 'mysql'] | 0 |
9,928 | https://devpost.com/software/social-distancing-in-factories | The team and inspiration :
We are a group of 4 passionate data scientists and developers wanting to contribute to create a better comeback from the covid pandemic and boost up the economy again. We are blessed by being mentored by amazing people and industry leaders giving us realistic feedback on the feasibility of the solution.
Our project comes as a direct solution to a very real and alarming problem within manufacturing businesses. Currently, all factories are stopped in Canada and most countries, and should they start again, would need a preventive solution so they can operate in a productive COVID-free environment.
What is the problem :
Due to the high virality of the covid-19 and governmental protocols, factories have been shut down along with most businesses. However, that was just a temporary emergency solution, and soon enough they should open again. This worries both the government and the medical crew, as there haven’t been strict protocols yet to ensure a covid-safe environment for the workers.
The best way actually to minimize the spreading of the pandemic is practicing social distancing and wearing preventive gear in forms of masks and gloves. This could be a challenge to implement in factories where the environment encourages proximity, and tracking the respect of these procedures can prove to be a challenge.
That’s where our solution comes in place, enabling an in-depth monitoring of the safety levels of the factories. This would allow rapid intervention in the event of a critical violation of these protocols.
How our solution works :
General concept :
The solution is an all-in-one platform that allows in-depth monitoring of factories ensuring that workers respect a certain distance between each other while wearing covid-preventive gear (medical masks) and also measuring their body temperature when entering and leaving the factory to check for an eventual fever should the temperature stay high for a certain amount of time.
An operator would be monitoring a dashboard receiving real time feed of information and alerts concerning different units and plants. The factory can be broken down into different units, either by spatial occupancy or process. Then each unit would have a score, raising each time a violation of covid security protocols occurs (while also appearing as an alert on the dashboard).
In the current state of the project and of covid-security protocol, we identified three metrics to monitor :
Respect of a minimal social distance
Workers must wear face masks permanently inside the factory.
Employees with high body temperature hinting to an eventual fever should not be allowed to enter the facility
Respect of minimal social distance :
We do this by using RFID chips embedded in employees access cards, that should allow to estimate each employee’s position and thus track the relative distance between all employees at all time.
A minimal distance to respect must be set, and every time it is violated, a notification is pushed to the monitoring platform and the unit’s risk score raises.
Workers must wear face masks :
Cameras backed with a state of the art AI algorithm would allow to check how many people are not wearing masks, and that number would add to the respective unit’s risk score.
Temperature check:
Employees having a high temperature would be asked to stay at home as it can be a symptom, and is thus dangerous.
Checking the temperature of every employee that enters the facility using a thermometer would prove difficult. So we thought of a way to measure the temperature of employees without wasting their time, or creating lines and bottlenecks at the door of the factory. In that line of thought, we will be implementing thermal cameras that would automatically measure their temperature and report the high-risk cases to the monitoring platform.
The monitoring platform :
All information regarding the safety of the factory and its units will be consolidated into a platform. A real time feed of alerts and statistics concerning each unit are available. That allows both to monitor the risk and security level of each unit covid-wise and for a fast intervention should a critical situation arise.
Employee’s security and privacy :
This whole project has as its core the security of the employees. Indeed, each employee should come to work with a reassurance that he is working in a safe environment, and it’s the employer’s duty to ensure that. This project is a tool to make this claim possible.
To ensure employee’s privacy, they will not be scored individually, but as a unit. The score in itself is not aimed to penalize them, but is a way to assess the risk factor of each unit and the factory as a whole.
How we built it :
NodeJS & Mongodb stack to build the platform’s logic used for real time monitoring.
Pretrained state of the art mask recognition AI algorithm that can be further improved with data collected insite.
A simulated factory site with Python and Celluloid Package. A set of Workers are generated and start performing a random walk in the factory site with respect to geometrical constraints. Positions are broadcasted to the monitoring platform and notifications are generated in the system.
Future work :
Apply the pretrained model on another context distribution while levergaring the model performances using false positives to train the model in an online learning perspective.
Connect different parts of the platform as it has multiple functionalities.
Extend the app to other environments.
Challenges faced :
Privacy Concerns.
Reassuring the plant workers.
What are we proud of :
Being able to build everything from scratch in less than 48 hours.
Having a wonderful and diversified team, experts in their domain.
Built With
caffe
machine-learning
mongodb
node.js
python
tensorflow
Try it out
github.com
drive.google.com
drive.google.com | e-safe: for a safe work environment | Provide a covid-safe environment monitoring in factories so workers work worry-free and stay healthy | ['Abderrahim Khalifa', 'Amine Bellahsen', 'hamza sghir', 'ilyas Rahhali'] | ['Category Winer'] | ['caffe', 'machine-learning', 'mongodb', 'node.js', 'python', 'tensorflow'] | 1 |
9,928 | https://devpost.com/software/heropool | Screenshot 1: Scheduling drivers
Screenshot 2: Scheduling care home staff (riders)
Screenshot 3: Pairing drivers and riders
Slide 1
Slide 2
Slide 3
Slide 4
Slide 5
Slide 6 Appendix
Slide 7 Appendix
Inspiration
When we saw Dr Theresa Tam announce earlier this week that almost half of Canadian Coronavirus deaths are related to care homes, we knew we had to do something. After speaking with a few care home managers subsequently it became clear what they're struggling with: chronic under-staffing due to transportation issues.
They simply cannot get enough staff to cover shifts.
When we dived a little deeper, they told us that because so many staff rely on public transport usually, the staff would rather not work than take the risk of getting infected. Public transport and taxis are a mess right now - there's no standardization on providing safe, reliable, sanitary transportation. Which is why we created Heropool.
What it does
Heropool is a carpooling platform that matches volunteer drivers with care home staff who need a ride to/from work. We leverage the existing volunteer networks of care homes to recruit drivers (specifically from not-at risk age groups). This volunteer network will be effective because the drivers have already been in contact with care home staff - in comparison to regular taxi drivers who might be reluctant to pick up care home staff.
We also have a network of mobile car cleaning services (we actually have two LOIs signed with them) who will provide sanitation services before and after every ride, in the car park of the care homes. The plan is to provide each driver with PPE before each ride, so much like a old-school taxi company, the drivers meet at one central location (the care home car park) before being deployed to pick up passengers.
The specific technology we created during the hackathon allows drivers and riders to input their availabilities, which are then matched together to book rides. You will be able to see those three elements (driver scheduling, rider scheduling, matching) in the video.
We also have the capability to create notifications for the drivers and riders, in addition to a web-based dashboard for care homes to manage/oversee their staff transportation from.
How we built it
We began the 48 hours by brainstorming ideas for the solution. Next we built a wireframe, and began dividing tasks. The team worked together fantastically.
After the planning stage, we began actual development. We decided, because of the 48hr constraint, that we would build a web-app rather than a mobile app. We kept the UI really simple for that reason too. Next, we used Twilio to begin building notifications - because we want to use text messages rather than mobile notifications (we anticipate that our drivers/riders might be slightly older, and we want to avoid any connectivity lag around ride scheduling).
With all this in mind, we created a back-end API. The most recent work we've been doing is working on the UI using Vue. We're also simultaneously working on an admin portal and creating a driver/rider pairing algorithm.
Our partnerships team worked around the clock, making outreach to care homes and potential sanitation partners. After a slow start, we began to actually get somewhat overwhelmed by the replies from care homes (especially private care homes). Long story short: care homes want this service, it's a major challenge they're facing right now, and we have a tailor-made solution.
Challenges we ran into
Time (but who doesn't say that in a hackathon?).
A 48hr limit meant that we had to create our product and test it ourselves. Of course, this could lead to problems later.
Our partnerships team did run into some difficulty finding sanitation partners - but after we described the long-term value for them, they were on board. What's in it for sanitation partners? After an initial week of free service, the service cost would be passed along to the care homes.
Finally, we also ran into some challenges building the algorithm for this specific use case - especially when you consider that drivers would be volunteering their time.
Accomplishments that we're proud of
Within 48 hours we got very close to having a MVP ready. We had a very clear goals from the initial brainstorming, and this really set us up for success. Everyone knew their roles, and we worked very well as a team together.
We're anticipating that we'll actually be able to deploy this product within the next 7 days.
Our partnerships team did amazing too - they really identified a need, and quickly built upon it to have several conversations with potential real customers.
What we learned
We learned a brand new skill - Vue! Only Morgan had used this tool before, but because of the time constraint we knew that we needed a solution to quickly convert wireframes into a working MVP. Talk about learning on the job! Everybody quickly jumped into the process, and executed on Vue really well.
What's next for Heropool
We actually have a number of care homes waiting to see our MVP. They're even chasing us! The market needs this solution. We're planning to get some LOIs signed next week.
On the tech side: we're perfecting the driver/rider pairing algorithm to make it more efficient. We also plan to do some more thorough testing now that we're not in a time constraint!
FYI - We cannot share Github links, because our code is proprietary to the company, but we can share some insights on the project privately. Please do follow up with us about that.
** See the extra link for a pdf to our hyper-linked appendix, which contains examples of outreach and LOIs signed from our partnerships team, UI mockups, and UN SDG alignment**
Built With
firebase
google-maps
heroku
mongodb
node.js
twilio
vue
Try it out
drive.google.com | Heropool | Canadian care homes are chronically understaffed because of transport limitations. Heropool is an end-to-end solution that facilitates carpooling for care home staff. | ['Callum Hewitt', 'Sandra Phillips', 'Abhinav Chawla', 'Anum Khan', 'Mark Goldberg'] | ['Category Winer'] | ['firebase', 'google-maps', 'heroku', 'mongodb', 'node.js', 'twilio', 'vue'] | 2 |
9,928 | https://devpost.com/software/allyship | Pitch Slide 1 - Our project title
Pitch Slide 2 - Our team
Pitch Slide 3 - The problem
Pitch Slide 4 - Our solution
Pitch Slide 5 - Next steps
Website screenshot 1
Website screenshot 2
Website screenshot 3
Website screenshot 4
Website screenshot 5
Website screenshot 6
Our Awesome Team!
Our Business Canvas
Graphic 1, Borne of Team Research for Our Website
Graphic 2 for our Website
Graphic 3 for our Website
Graphic 4: The 2 Waves of Debilitation Our Healthcare System Will Experience from Covid-19
Our User Validation Google Form, Shared on Facebook, Instagram, and through personal contacts (new data was coming in all weekend)
Our UX Design/ User Journey Wireframe
A Very Flattering Screenshot of One of Our Many Zoom Meetings
Video Storyboard in Progress
Handwritten Draft for Our Content
Our journey through graphics towards a more PTSD-sensitive color scheme.
One of Our Many Thorough Screen Shots in SurfacePro
Another Screen Shot of our User Story Done in SurfacePro
Another Screen Shot of our User Journey
Preliminary User Pain/Problem Sketch
The Problem
Health care workers are facing significant trauma due to COVID-19 and a lack of trauma-competent resources and support in the workplace.
The Current Landscape
Health care workers, emergency responders, and public health employees are experiencing high rates of trauma, re-traumatization, and PTSD battling on the frontline of the COVID-19 crisis.
On top of the ongoing opioid overdose crisis and other traumatic events which further drain our already too-small pool of qualified workers on the frontlines.
Now more than ever, there is a heightened risk of compassion fatigue, burnout, and even suicide.
Despite the many supports that are available, health care workers who seek mental health support risk the workplace stigmatization of being viewed as less competent or even dangerous.
Health care workers deserve trauma-competent support and workplaces.
What is Trauma-Informed Care?
“Trauma-informed care understands and considers the pervasive nature of trauma and promotes environments of healing and recovery rather than practices and services that may inadvertently re-traumatize.” -
http://socialwork.buffalo.edu/social-research/institutes-centers/institute-on-trauma-and-trauma-informed-care/what-is-trauma-informed-care.html
Principles of trauma-informed care include:
Showing respect
Providing Validation and Acknowledgement of Trauma Survivors’ Lived Experience
Engendering safety
Establishing trust and transparency
Fostering peer support
Emphasizing collaboration and empowerment
Being aware of the intersectionalities of culture, socio-economic status, gender identity, sexual orientation, disability, and other marginalizing experiences
What We Made
Our website serves as an empathy-mobilizing platform in service of health care workers; aiming to reduce stigma, provide resources, and offer information for employers, co-workers, and loved ones who wish to be trauma-competent supporters for health care workers.
Our Mission
Help health care workers find trauma-competent support services
Decrease stigma around mental health concerns for health care workers
Provide information to health care workers, leaders, and loved ones, and connect them with resources on becoming a trauma-competent ally for frontline workers.
How We Built It
We made our business canvas, brainstormed our ideas, and did our UX Design/ User Journey Wireframe in Miro Whiteboard. We built a website in Wordpress. Our graphics were made using Canva. Our presentation video was made in Powtoon.
Challenges We Ran Into
Finding the balance between implementing our goals and meeting our deadline was our primary challenge. About half way through the hackathon, we realized that the colours we were using, even though we had tried to be careful to not use anything jarring or medic red, were likely trauma triggers. We found out that violet was a trauma preferred colour and went about changing our overall visual of our website and resources, presentation, and graphics.
Accomplishments That We are Proud Of
Teamwork. Learning new things as we went. Not losing sight of the vision, both team and project. Pushing our personal comfort zones. As a group of strangers we came together on Friday and bonded over a shared vision. Our project highlights the strengths and skills of each of our team members and we managed to have a few laughs along the way.
What We Learned
We have had the benefit of working with several mentors throughout the Hackathon; Ilias, Hannah, and J who gave us guidance on our project, helped us formulate our pitch, and provided expertise in user validation. Many members of the group were introduced to Miro and Wordpress for the first time. The idea of creating a Business Canvas and developing a pitch was also a new skill for several members of the team. Creating the video in Powtoon was also a new experience.
What’s Next?
Trauma in health care will not end with the eradication of COVID-19. Trauma-competent allies have always been -and are now more than ever- critical to the ongoing health and happiness of our frontline workers; as well as the sustainability of our healthcare system at large. Allyship will expand to include peer support training, opportunities to share and evaluate resources, and foster anti-stigma initiatives to support health care workers.
Links to Our Work
Our Site! –
WordPress -
link
In addition to the Hackathon’s Slack Channel, we created our own Slack Workspace: traumainformedcare
Google Drive (Information Sharing/Organizing & User Validation) -
link
Google Form (User Validation) -
link
Built With
canva
divi
goodnotes
miro
powtoon
surface
wordpress
Try it out
hcwebsite.16mb.com
drive.google.com
drive.google.com
drive.google.com
www.instagram.com
www.facebook.com
drive.google.com | Allyship | Health care workers are facing **significant trauma** due to COVID-19 and a lack of trauma-competent resources and support in the workplace. | ['Cricket (Christina) Barretti-Sigal', 'Mateus Schoffen', 'Andrea Zoric', 'Melissa Woodward', 'Kokeb Solomon', 'Hannah Bock-Koltschin', 'Beth Campbell Duke', 'Simran Kanda', 'Michelle Vandepol'] | ['Category Winer'] | ['canva', 'divi', 'goodnotes', 'miro', 'powtoon', 'surface', 'wordpress'] | 3 |
9,928 | https://devpost.com/software/soci-s-hunt | SOCI's Hunt - Blockchain-based Solidarity Reward Game
Our challenge and Why it matters
Our solution - Concept
Our solution - The Experience
Our solution - SOCI's Hunt
Our solution - Tech
Our solution - Tech
Potential next steps to develop our project further
Thank you dream team for all your efforts and contributions!
Inspiration
In this unprecedented time, solidarity and a
shift from individual towards a sharing culture of collective thinking / behaviour
becomes more relevant than ever. Worldwide initiatives are launched and thousands of people engage, support and even work pro bono for a better cause. We need to generate a
solution that continuously drives this "better human behavior" mindset-shift
across the globe and that
enables people to provide, seek and receive the support they need
.
What it does
"NextNow" is a match-making platform, an award giving organisation and a social recognition provider. We help people to find opportunities to help, award people who help to be recognised in the real world, and to share their achievements on their social network.
Everyone can be part of this movement and earn SOCI's by supporting and helping others on the NextNow platform. Everyone can play the game and support each other, say thanks and give each other feedback on the NextNow platform. Players can level up and and receive badges that verfiy their solidary actions.
Once engagement index is tracked and we have first outstanding performers, GPS organizations start recognizing and we start negotiating reward mechanisms in order to use even after the crisis. The concept can be replicated for any other upcoming crisis' in the future.
How we built it
The application is based on the Blockchain Framework ethereum where we created our
SOCI Token
. In the web application, the user can share his request for help which is shared on multiple social media channels such as facebook, linkedin and twitter. A second user can login (“help giver”) and can offer his help for the needed request. As soon as the request has been fulfilled and the help seeker confirms that, the application automatically sends the user a SOCI Token on the Blockchain which is displayed in his/her profile on the web application.
Accomplishments that we're proud of
We’ve managed to develop the structure of the NextNow platform and defined the reward system including levels, badges and rating system. We described personas and user journeys to finalize our concept.
At the same time we managed to build a
fully working application
(front and backend with a running database and blockchain smart contracts) within 48 hours. Even tough we did not have any prior knowledge of the solution.
What's next for SOCI's Hunt
After the hackathon, we are going to iterate our prototype, to test it, and to add additional features such as the integration of existing initiatives into the match making platform.
Afterwards, it is time to go live, to grow via social media promotion, and negotiate and implement real world rewards for the most outstanding helpers and supporters among the NextNow users. We want to see NextNow as an enabler for cultural changes from individual based behavior towards the collective.
Built With
adobexd
express.js
gatsby
mysql
node.js
react
sequelize.js
tailwindcss
typescript
Try it out
next-now.github.io
backend.next-now.site | SOCI's Hunt - powered by NextNow | Blockchain-based solidarity reward game powered by NextNow | ['Franziska-Juliette Klebôn', 'Fguer12', 'Rebecca Westphal', 'Mohamad Tahawi'] | ['Category Winer'] | ['adobexd', 'express.js', 'gatsby', 'mysql', 'node.js', 'react', 'sequelize.js', 'tailwindcss', 'typescript'] | 4 |
9,928 | https://devpost.com/software/springout | The Project
We are Team Spring Out, taking on challenge #1105 “Support for Domestic Abuse”
Why did we tackle this project?
As COVID-19 continues to spread, a new kind of crisis is emerging.
Movement restrictions aimed to stop the spread of the coronavirus may be making domestic violence more frequent, severe more dangerous.
Canada’s domestic violence problem was already critical. COVID-19 is making it worse.
What challenges are we trying to solve?
When seeking support, the survivor’s safety is threatened. We provide a discrete solution for employees suffering from new (and old) domestic abuse situations across Canada as a result of being isolated/quarantined, WFH to find resources and connect discreetly
How is the team solving it technically?
The initial point of entry for primary users/survivors is the integration of the Spring Out App on Slack. By providing basic information such as number of dependents and postal code, but maintaining general privacy and security, users can quickly get help and connect with public health services in a few easy steps. The app bot is ‘silent’, and primarily mobile based, to allow maximum maneuverability. On exiting Slack, users can choose a ‘theme’ they may already be interested in, such as gardening, cooking or cleaning. They are then ported to landing pages with dynamically loaded “facade images”, to offer a discreet place for heavily cloaked domestic abuse information, accessible to the survivors who are seeking help, on harmless looking web pages, with an ever present ‘escape’ button.
How can the app move forward? Is it scalable?
With more communication apps that can connect to the web service and provide data for the various Employee Assistance Programs, we can more rapidly inform a broader pool of employees who may be at risk while ensuring their safety if they are working from home and are being closely monitored by their abuser.
Primarily targeting EAP in developed countries, but scaling out the app to be used in developing countries. This would fall under the Sustainable Development Goals / gender equality in developing countries.
Get Spring Out on your Slack
https://springout.org/
Contact the team
[email protected]
https://springout.org/about
LinkedIn Profiles
Links to Files Used in Creation of the App
https://drive.google.com/drive/folders/1M3B2OOpEqHC-EUfZWoD1IZK6aIAzrtH4?usp=sharing
(Must sign in to a Google Account)
Running the repo
Check the README on our Github:
https://github.com/christopherread/springout
In the project directory, you can run:
git pull
cd springout
npm install
yarn start (requires Firebase API keys in src/firebase/firebase.cfg)
Built With
css
html
javascript
react
slack
typescript
Try it out
springout.org | Spring Out | Domestic Abuse Support During Pandemics | ['Bejal Joshi', 'Julia Read', 'Kristine Villaluna', 'Mattias Henders', 'Peter Thomsen', 'Marisa Chan', 'Christopher Read'] | ['Category Winer'] | ['css', 'html', 'javascript', 'react', 'slack', 'typescript'] | 5 |
9,928 | https://devpost.com/software/1109-identifying-supply-delivery-needs | Our solution aims to centralize the demand and bridge the gap between the needs (supply and delivery) and the efforts (volunteers) in a simple way: An online social workshop.
Try it out
drive.google.com | Identifying supply delivery needs | Identifying supply delivery needs for Montreal's at risk population | ['Francisco Collazos', 'Kenechukwu Nnodu', 'Sean Burke'] | [] | [] | 6 |
9,928 | https://devpost.com/software/the-social-contour-project | The social contours project is powered by the community. A public health questionnaire taken up by the community to unlock sociological risk factors guided by a deep understanding of this, or indeed any other contagion, is the key. This deep dive study, completed in about 15 minutes and delivered through an online application, allows us provide a behavioral or lifestyle risk assessment. As more people in the community complete it, further information gathered from the study allows us to define the social contours, or safe zones of disease in a real-time or dynamic sense, and allow all people to interact safely, within their communities and with commerce. The social contours project will open up society and the economy in a phased response that is driven by societal and epidemiological metrics. From our research, and the backing of USask Community Health and Epidemiology Department in the College of Medicine, we know this is the only safe way to lead society back to normal.
Guided by epidemiological indicators, navigating the social contours of COVID19 would be phased in over months, possibly years. We could continue to maintain a safe distance and work with local public health to mitigate and contain the virus while charting the path to resume our normal lives. The online web application and mapping would also designate safe sites in regions, cities, counties and countries, in full compliance with local public health, and sensitive to local cultural characteristics. Our research and publishing shows that the virus is moving along these cultural contours, and the Social Contours Project allows us to exploit those contours of disease to reunite society and reinvigorate the economy. The Social Contours application is powered by community response to the questionnaire, empowering us to take back the very life and society that makes us a united world.
Inspiration
Our inspiration is to end the lockdown and move forward!
What it does
A web application to provide a survey of sociological factors and risk factors for the contagion to define where the disease is and the safe zones, or social contours of the disease.
How I built it
The application is built in Typeform and the questionnaire was originally done in google documents
Challenges I ran into
Our biggest challenge was to overcome the visualization of data collected. We attacked this with several excellent data specialists and
Accomplishments that I'm proud of
So proud of our team and how far we took this project in such a short time
What I learned
I learned a lot about data processing and visualizations that are possible
What's next for The Social Contour Project
We are ready to collect data and seek funding to support our data collection, data analysis, and web and application development and open platform system.
Built With
google-docs
typeform
Try it out
drive.google.com
github.com
socialcontours.typeform.com | The Social Contour Project | The social contours project is powered by the community. The social contours project will open up society and the economy in a phased response that is driven by societal and epidemiological metrics. | ['Winfried Tilanus', 'John Wunderlich', 'Christian Bergeron', 'Negin Salahi', 'Sandra Phillips', 'Dean Hintz', 'Jessica Pidoux', 'Miles Fahlman'] | [] | ['google-docs', 'typeform'] | 7 |
9,928 | https://devpost.com/software/postal-greenhouse | Postal Greenhouse video
https://screencast-o-matic.com/watch/cYfqrgzm0r
Background
Covid-19 has overwhelmed local communities capacity to deliver fresh food to a growing number of residents. This spike in demand has had the greatest impact on the most vulnerable.
Concurrently, Covid-19 has disrupted local supply chains. “#45 No Canadian Hungry” and “#1101 Postal Greenhouse” have collaborated to find an innovative solution for both the short term and the new "norm" post-Covid-19.
Solutions
Short-term: During the COVID-19 crisis, farmers, people/organizations with extra food, food banks and recipients can be matched through a real-time interactive referral app. This open-source mobile app allows those in need to locate the time and location for temporary drop-off points for food boxes.
Long-term: Post-COVID-19 development of a fully-functional app to match local food sellers with distributors will support social entrepreneurial farmers who can use the increased demand for four-season fresh food to build a sustainable agrifood ecosytem based on public-private partnerships at the local, national and global levels that support the UN Sustainable Development Goals.
How we built it
We did research on the current solutions around food supply and demand mainly in Canada and identified the gaps. We interviewed stakeholders (local farmers, volunteers, people in need) to understand their main needs and pains amid the pandemic to validate and improve our ideas. We used FME platform for data conversion and hosting and connected geocodes on Google sheets with OGC GeoPackage database. We were lucky to have GIS, data administration, data analysis, and data visualization experts. Big shout out to our stakeholder interviewees whose insights inspired our final solution.
Challenges we ran into
We focused on gathering the information in Ontario and Quebec and need more time to dig into other regions. We only managed to reach out to a few stakeholders to test out our ideas. During the interviews, we also discovered other new problems that we could solve. Many addresses did not geocode correctly because of difficulties with software. We need more time and resources to put together more holistic solutions that make an impact.
Accomplishments
Committed team members with complementary knowledge and skills; from data analysis, user research, community volunteer activities and collaborative, empathetic dispositions required to complete this working prototype under tight timelines.
What’s Next
Develop the GIS application further so users can contribute by adding content.
Built With
fmesafesoftware
geopackage
gis
googlesheets
html
javasript
leaflet.js
ux
Try it out
35.245.104.205
covidresponse-dean.fmecloud.com
dstjean.github.io
docs.google.com
docs.google.com
screencast-o-matic.com | Postal Greenhouse | Promoting access to healthy food for all Canadians in times of crisis and for a better future | ['Sylvia Xu', "Stephanie O'Hanley", 'Nolwen Mahe', 'Dean Hintz', 'Sarah Park', 'Rakesh Koneru', 'Jonathan Brown', 'Cat V'] | [] | ['fmesafesoftware', 'geopackage', 'gis', 'googlesheets', 'html', 'javasript', 'leaflet.js', 'ux'] | 8 |
9,928 | https://devpost.com/software/vsviralcash | Prototype for Chute (LDR & relay), Prototype of (PIR & Relay) ATM
MindMiester Business Plan Development
1
team
challenge
solution
plans_1
plans_2
Org_Slide1
Org_Slide2
Org_Slide3
Org_Slide4
Org_Slide5
Reference
Inspiration
World media discussing viability of UVC as means to stem Covid-19 transmission. Numerous collaborators between VersusVirus.ch, Helpful Engineering Slack Workspace, Arduino Covid-19 Discord, TogetherVsVirus.ca hackathon and iterations from previous 'Team-UV-C-LED-Cash-Register' concept {
https://devpost.com/software/team-uv-c-led-cash-register
}
What it does
Multiple design types made to encapsulate each place that we handle financial transactions to leverage UVC LED technology to sterilize Currency / Cards / ATM's / EMV readers
How I built it
Many collaborators, mentors & spectators iterating through ideas, discussing materials, Far-UVC /UVC spectrum's and their pro's and con's, coding in Arduino IDE, limited prototyping with available IoT parts
Challenges I ran into
Timezones, internet download speed with saturated networks, laptop's freezing, communications & pacing of time management, not immediately having every ideal piece of inventory to hand {parts, laser cutters etc}
Accomplishments that I'm proud of
In spite of all the challenges in terms of design, production, insufficent sleep, communication issues etc, we're realizing enough of the concepts to hopefully pass the condensed content on to the Hackathon in order to see these devices become a reality within the timeframe required to help stem Second Curve reinfections / reinfections, truly affecting dissemination prevention
What I learned
We're all in this together.
What's next for VsViralCash
Hopefully to collaborate with further mentors, designers, business developers to be able to produce something workable that can be introduced to the right movers & shakers to see these technologies combined and 'out in the wild' making a difference and carried on beyond our collective resources
Built With
arduino
blender
c
gimp
ldr
pir
slack
Try it out
github.com | VsViralCash | UVC Sterilization of Bank Cards, Currency, ATM's & EMV readers via IoT | ["Kenneth O'Regan", 'Yuanyu Zhou'] | [] | ['arduino', 'blender', 'c', 'gimp', 'ldr', 'pir', 'slack'] | 9 |
9,928 | https://devpost.com/software/insuguard | Business plan
Inspiration
All of us are familiar with diabetes. All of us have seen on the news that, despite all the new treatments, a lot of people die everyday because their immune system is strongly compromised. The number of deaths in the diabetic population because of influenza is constant, which is now evident with COVID-19. We want to help these patients. We want to increase their quality of life and ensure they feel safe and secure. We want to make THE DIFFERENCE IN OUR SOCIETY!
What it does
Patient health conditions monitored remotely in real-time by privately employed nurses working for a company that sells insulin pumps integrated with glucose measurement.
How we built it
We’ve built it with 2 methods, leaving different prototypes. One is with Vue.js and D3 and the other dash and python.
Challenges we ran into
We thought we had a strong idea in the beginning, however, we had to change our minds after more than 12h and start building everything from scratch. With time and pressure, we would like also to have more time for teambuilding.
Accomplishments that we're proud of
First of all, WE MADE IT! It is incredible to receive such good feedback from mentors and we are really confident about our idea. In less than 48h we came up with a strong idea, made a business plan, built 2 prototypes, and built a user story that we shared in storytelling format during our pitch. We learnt how to use data visualization with D3 to make different kinds of graphs.
What we learned
Having diverse members with varying skill sets, expertise, and time zones, we learned plenty of insights from each other such as diabetes management, the healthcare system, programming, design, time management, and communication skills.
What's next for InsuGuard
We are committed to continuing this project after the Hackathon. We are fortunate to have mentors willing to work with us; therefore, we need more support from organizations so that we can move this forward, create an impact in the medical field and in our communities.
Built With
javascript
python
Try it out
github.com
github.com | InsuGuard | How to deliver medical services especially to elderly people or COVID-19 patients while they are isolated in remote areas? | ['Liliana Duarte', 'Mouhameth Faye', 'sgtsinotte', 'Charmaine Viaje'] | [] | ['javascript', 'python'] | 10 |
9,928 | https://devpost.com/software/back-to-work-protocols | Inspiration
The current virus conditions and a need to get back to work
What it does
Assess the risk factors associated with specific job roles and workplaces and by geographic location
How I built it
We built a website and back end algorithms
Challenges I ran into
Remote team but very inspirational
Accomplishments that I'm proud of
The team has formulated a fully scalable product ready to grow
What I learned
Not to waste time
What's next for Back To Work Protocols
Help people get back to work
Built With
angular.js
node.js
sketch
Try it out
riskmatrix-c9718.web.app
docs.google.com | Back To Work Protocols | An online platform for workplaces and individual to self-assess their risk factors to go back to work using current and accurate information built into a risk matrix backed by algorithms | ['Peter Yiangou', 'Ann K. Chou', 'Manobhiram Nellutla', 'Vincent Baylly', 'Dr. Laleh Maroufi', 'jchiason'] | [] | ['angular.js', 'node.js', 'sketch'] | 11 |
9,928 | https://devpost.com/software/challenge-1062-gig-economy |
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xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
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var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
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js.id = id;
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fjs.parentNode.insertBefore(js, fjs);
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Inspiration
The hackathon drive and interesting challenge (1062).
What it does
Online platform to connect service providers (physical and digital) to consumers.
How I built it
Not built yet.
Challenges I ran into
Finding developer(s) and team.
Accomplishments that I'm proud of
Requirements analysis and partially complete business plan.
What I learned
Potential untapped market.
What's next for Challenge: 1062, Gig Economy
Finalize the business plan and get developers involved to create a beta version.
Try it out
drive.google.com | Challenge: 1062, Gig Economy | wegig (Online Platform) | ['Emmanuel Jordan'] | [] | [] | 12 |
9,928 | https://devpost.com/software/the-green-link-essential-gardens | WHY it's a problem
Many community gardeners lose access to their beloved gardens, their food source, opportunity to connect with their friends, etc. This worsens the social isolation and mental health problem Canadian population is experiencing
SOLUTION
The solution is to advocate for community garden as a part of essential service. Not only for food production, but also for their psychological, physical, societal benefits.
WHY our solution is good
We create ESSENTIALGARDENS.CA to empower gardeners and organizers with information, as they fight for the essentiality of community gardens with their local governments.
What we found
Scientific evidence to support the benefits of community garden
Physical health
Gardening is a physical activity. Scholarly research has shown that engaging in community gardening boosts the physical health of those involved, for example reduced body mass index (BMI), reduced rates of obesity, as well as increased tolerance of pain. For example, a study conducted in Utah, US, showed a reduction of BMI in gardners (−1.84 for women; −2.36 for men) compared to non-gardeners of the same age and gender. Gardeners often report consuming more fresh vegetables and fruits. These benefits in physical health are shown not only in adults, but also children, older adults in senior housing, and people living low-income communities, suggesting community gardening can be an effective tool in protecting physical health of vulnerable populations.
Psychological health
Community gardening has been shown to promote mental health and reduce stress. For example, an intervention study conducted in Norway reported that patients diagnosed with clinical depression showed lower scores in depression severity after engaging in routine therapeutic gardening activities. Such decline in depression severity was clinically relevant in 50% of the patients. Some aspects about community gardening that are speculated to drive these positive psychological effects are the therapeutic nature of gardening activity (for example the feeling of ‘being away’), increased sense of value and control, and increased community engagement.
3.Social connection to peers and community building
Community gardening provides additional benefits in building social connection and communities. Community gardeners often report that they have better social relationships and feel a sense of community pride, including knowing that they can share knowledge and contribute excess food to their local community. Such interaction is fostered between people irrespective of their socioeconomic and demographic backgrounds, including race, age, sex, religion, and immigration status. A review analyzing fifty-five scholarly articles on the benefits of community gardens in the US highlights the use of community gardens as “an effective tool for community-based practitioners in carrying out their roles within the arenas of organizing, development, and change”.
4.Vulnerable populations (e.g., aging population)
The benefits of community gardening can help to protect vulnerable populations such as older adults. Case studies on community gardening in senior housing communities (US, UK) often show positive outcomes for older adults engaged in community gardening. For example older adults engaged in community gardening perceive an increased sense of control about their lives, and reduced sense of loneliness or helplessness. Some research has shown that gardening, and other physical activities, may delay the onset of dementia. For individuals who suffer from memory loss or physical decline, engaging in gardening and maintaining existing skills can provide pleasure and confidence (Alzheimer’s Society, UK, report)
5.Food security & Poverty
The primary reason for many community gardeners to engage in community gardening is to improve access to quality and nutritious food. A study found that many gardeners in Paris and Montreal reported “having their growing-season produce needs entirely met through gardening, and some even extending that through the winter”, suggesting urban gardening can be a sustainable food production method. Many gardeners perceive that community gardens or urban farming can provide food sources to both the household and the local community, improving food security, especially at times of crisis. Last but not least, gardening provides opportunities for job skills training and income generation. These opportunities are critical for people in poverty and for people seeking equity.
What we build to present results
https://essentialgardens.ca/
Built With
wordpress
Try it out
essentialgardens.ca | The Green Link (Essential Gardens) | Community gardens are considered non-essential in many places in Canada, and are closed due to COVID-19 | ['Stephane Espinosa'] | [] | ['wordpress'] | 13 |
9,928 | https://devpost.com/software/who-cares-now | Slide 1
Slide 2
Slide 3
Slide 4
Slide 5
Slide 6
Inspiration
From food safety to employee rights, we want the public to know which companies they can trust.
What it does
A website which helps customers make informed choices about where they want to take their business, so that they can protect themselves, and protect the essential service employees.
How I built it
HTML + CSS + Bootstrap
Challenges I ran into
Submission!
Accomplishments that I'm proud of
All of us had very minimal experience with web design.
What I learned
All of us feel significantly more comfortable with web design now :)
Built With
css
html
Try it out
github.com | Who Cares Now? | From food safety to employee rights, we want the public to know which companies they can trust | ['paniznr Najjarrezaparast', 'Sharanjit Virdi', 'Aliyah N'] | [] | ['css', 'html'] | 14 |
9,928 | https://devpost.com/software/covid-bot-by-innaton-technologies-ltd | Inspiration
Τhe rapidly increasing number of worldwide COVID-19 cases, the misleading information that people receive from web, anxiety and actual incidents, cause the overloading and idle of the hotlines. This situation was the main reason we decided to provide a novel solution, the COVID-bot. Thus, we help people to not wait on the line or should go through many trusted papers to find answers to their questions.
What it does
COVID-bot is a smart chatbot which aims to provide trust-worthy and in simple-words replies almost in real-time to the user queries about COVID-19. You can ask COVID-bot any relevant question to prevention, precautions, and the current situation in any country. The reply can be given in the form of text, video, graph or a combination if needed to explain better and offer a meaningful answer to as many as possible people.
How I built it
COVID-bot is a user-friendly Artificial Intelligence (AI) Powered chatbot based on Google Cloud Platform (GCP) with the main purpose of being answering any questions related to COVID-19.
Challenges I ran into
Working online has been fascinating, but working on different time zones is challenging. Being always focused on our aim - to provide a dissemination prevention smart tool to help people, we overcame every challenge.
Accomplishments that I'm proud of
Behind each demanding project, there should be a passionate team with vision. Something that we are proud of.
What I learned
Working under high pressure is really difficult. As sooner as we release COVID-bot, we strongly believe that we will contribute significantly to limit virus spreading. This is our greatest lesson and motivation so far.
What's next for Covid-bot.
The chatbot has the ability to detect different personas and emphasize specific content targeted to each user. Thus, making it more helpful and personalized depending on what the user seems to care about the most. As next steps, IP and collected data (geolocation, significant questions, statistics per country etc.) can be used for targeted campaigns and further data-driven research on how to be protected and stop the virus spreading. CODIV-bot can find application all around the world.
Using COVID-bot you bring impact not only to your society but to the rest of the world to overcome this virus demanding challenge.
Built With
css3
flask
gcp
google-cloud
html5
javascript
python
Try it out
www.covid-bot.com | Covid-bot by Innaton Technologies Ltd. | AI-powered chatbot assisting your employees with daily tasks (Currently providing COVID-19 related covid-bot.com) | ['Wael Al Masri', 'Athina Stavrinidou', 'Daniil Sourianos', 'Mikaelina Liontou', 'Nicole Douglas'] | [] | ['css3', 'flask', 'gcp', 'google-cloud', 'html5', 'javascript', 'python'] | 15 |
9,928 | https://devpost.com/software/podsquad-x1f4my | Some of the survey results that validate that many people are interested in a comprehensive site for virtual events
Inspiration
We wanted to create something that allowed people to connect with one another, and the activities and communities they engaged with prior to the pandemic, promoting wellbeing by bringing a sense of normalcy to their lives, and providing a way for people to connect from a distance.
What it does
Users of PodSquad are able to build a stronger community by participating in physical, social and mental activities from the comfort of their own homes with their Pods, a group of like-minded individuals. PodSquad provides resources that nourish users wellbeing while building tight-knit connections with their community and beyond in real-time. We focused on events and initiatives from local businesses and creators, to help stimulate the local economy as well.
How I built it
It was built on Adobe XD, so it is currently the front end of the web design.
What's next for PodSquad
We are planning to collaborate with back-end developers to create a fully-functioning website, work with local companies to offer and expand their online resources and initiatives, and build partnerships with video conferencing software companies.
Try it out
xd.adobe.com | PodSquad | A comprehensive community of virtual events for your mental, physical, and social well-being put on by local businesses with activities that are suitable for all ages and interests | ['Emma Karlsen', 'Lulu Lian', 'Madeson Todd'] | [] | [] | 16 |
9,928 | https://devpost.com/software/cmd-line | Letter to Judges
Letter to Judges (Cont'd)
As students, we use video chatting platforms on a daily basis, but we find it hard to stay productive and engaged in the presentation, so we developed Zip Link to help combat this problem.
Zip Link is a free online video communications platform built for the sole purpose of boosting productivity and engagement during video conferences.
We built the frontend of the app using the react framework, in which we used html5, css3 and javascript. To facilitate the calls, we used an API called OpenVidu. OpenVidu is an open-source API used to make apps. We also used javascript to allow users to download notes from the same page as the calls and more.
The main challenges we faced were related to the backend of the app. We could not get the app to be deployed on the Apache webserver for a long time.
We have created a functioning video conferencing platform in less than 3 days. After long days of video calling, testing editing and testing some more. I am very proud of what we as a team have achieved
We learned about all the little things that go towards a video calling service and all the small details that are needed to make everything work
In the near future, we are considering adding more compatibility to the site and adding more servers for more simultaneous calls
Built With
css3
html5
javascript
openvidu
react
reactframework
Try it out
172.105.27.140
ziplink.ca | Zip Link | We have created a secure online video telecommunications platform with built in features to help boost productivity and engagement. | ['Ashwin Krishan', 'Edwin Wang', 'SashaM69420', 'Rocket0607 Koneru', 'Rafael Khaykin'] | [] | ['css3', 'html5', 'javascript', 'openvidu', 'react', 'reactframework'] | 17 |
9,928 | https://devpost.com/software/proactive-citizens-vx3mts | Inspiration
On one hand, decision-makers such as public authorities or local municipalities lack access to citizens’ opinion, ideas and feedback in order to make more informed judgements.
On the other hand, citizens are unengaged within their communities and have no say in the decision-making process from public authorities or local municipalities that affect their daily lives.
In the conception and improvement of services, the approach that gives the best results today puts the user at the center of the design (user-centered design).
Collaborative design (co-design) allows users, stakeholders, and designers to collaborate bringing results of great satisfaction for both parties.
In the public service, i.e. essential services for citizens, these approaches would be fundamental, yet there is a lack of tools to apply them.
This brings frustration to citizens and parties involved, who feel ignored. and does not allow those involved in the public service to access important information for the improvement of services.
What it does
Engaging communities and citizens in decision-making process
Proactive-Citizens is an online platform/website that brings citizens and communities together into the decision making process. Information is exchanged between the local authority and citizens - with the objective to turn citizens’ opinions into more informed and effective decisions.
Decision-makers/local municipalities can ask for ideas / opinions to the citizens relating to a specific subject, initiative or challenge.
Citizens have the opportunity to participate and influence the decisions, by sharing their views, and therefore contribute meaningfully to specific decisions that impact their lives.
Use cases
1. Small towns
Some small municipalities need to improve care for the elderly to make them self-sufficient and healthy for as long as possible.
2. Metropolitan areas
With the current COVID-19 situation, the society is entering a period of economic instability and recession, where (small) businesses face challenges in order to prosper financially. There is a need for new initiatives in order to provide new opportunities to affected individuals / businesses.
Citizens, associations or companies can:
Exhibit examples that are already successfully tested elsewhere
Make informed proposals related to the territory and the community
Lay the foundations for collaborative solutions
Share their real difficulties and ask for help or solutions
How we built it
We came up with our concept during the VersusVirus Hackathon. after that 48 hours of hacking/coding.
we took some time to do some user interview and iterate over our initial idea.
We believe that our platform could be use also in Canada, small and big municipalities and cities could benefits from our platform.
Me and my teammate Claudia Borio, are both have experience in establishing new startups. As we already launched two startups in past. Therefore during this hackathon we used our experience on how to start a new innovative idea.
After some brainstorming how can we address the challenge #1079, we came up with some low-fi wireframes, tested and validated with some potential users, showed to some Mentor and collected feedback, afterward we built our prototype and started to code a MVP.
Challenges we ran into
As in our team we lack someone with copywriting skill ( a communication professional), we have to deal with preparing our presentation, video, and texts for submissions, that took us some time. We believe that we still need to improve our copy and pitch deck to better present the problem we are solving and our solution
Accomplishments that we're proud of
formed a team of two people (Full Stack Developer and UX & Service Designer), the team is aligned in terms of vision and next steps
Validation is performed with ~10 citizens
A clickable prototype built
MVP is being build now
What's next for Proactive-Citizens
We would like to develop our MVP (first version) and launch it soon.
To go live, we need funding for the final development of the platform, for the marketing and sales costs therefore we are looking for a small funding to cover some cost
Our prototype:
Proactive-Citizens.com
clickable prototype
Project presentation (pdf format)
Link to our
pitch-deck
Concept Sketch
here is a sketch of our concept and solution
Built With
ajax
javascript
jquery
laravel
mysql
php
twitterbootstrap
Try it out
claudiaboriocrosio488126.invisionapp.com
proactive-citizens.com
proactive-citizens.com | Proactive-Citizens | A public engagement platform that allows citizens to share ideas on certain critical community issues in an easy way. They can then vote on all the submitted ideas which narrows them for city staff. | ['Zoé Niquel', 'A. Wahed Mehran', 'claudia borio'] | [] | ['ajax', 'javascript', 'jquery', 'laravel', 'mysql', 'php', 'twitterbootstrap'] | 18 |
9,928 | https://devpost.com/software/stop-the-spread-with-less-crowds | Team EUvsVirus
Skip Crowds Team
Problem
Solution
Example
Next Steps
Cities
Problem
The COVID-19 pandemic is an emerging, rapidly evolving situation for which social distancing measures are implemented as a core component of the response.
Social distancing
is recommended for persons of all ages to
slow the spread
of the virus,
protect the health care system
from being overloaded, and
protect people
of older age and persons of any age with serious underlying medical conditions.
Currently, only essential businesses are open and many, such as grocery stores and pharmacies, have trouble managing their crowds and queues, becoming a point of social distancing failure. This is a problem now and it will become a bigger problem since the lockdown is unsustainable for the economy, and businesses will soon have to reopen.
The solution we bring to the table
We created SkipCrowds, a tool that enables businesses and people to work together towards less crowd formation in spaces such as grocery stores, pharmacies, malls, etc. ensuring effective and efficient social distancing. Also a tool like this is essential for preventing future outbreaks.
SkipCrowds integrates Mobile, android and ios, and Web solutions covering people who intentionally would skip crowded places and people who do not pay attention to social distancing.
How?
SkipCrowds tracks crowds by allowing clients to "check-in” to the store with the use of QR code scanning while they are waiting in line or entering the location. The user is then checked-in for an estimated duration of the visit.
SkipCrowd users at home can check how crowded different spaces are at that moment and may reserve specific check-in times to let others know when they plan to go to the store!
This solution allows real-time tracking of crowds while maintaining privacy, does not require any app downloads, and is ready to be implemented at stores today.
What you have done during the weekend
Business
Found mentor for strategy and business
Got in contact with tv stations in Macedonia to get the idea promoted in live tv
New Pitch
Tech
Android app: geolocation added and app added on Test track in Google play
IOS app implement key feature: Identify crowds around on the map
Backend: Registration and login added, traffic light logic added.
New cities information added Montreal, Belgrade, Madrid, Barcelona, Prague, London, Stockholm, Napoli, Rome, Milan (plus considering the previous 5 cities Skopje, Vienna, Toronto, Vancouver, Saskatoon) reaching 15 cities
Website small changes and contact form added
User experience
QR code in store(s)
Android app tested by users 1 to 5 in Vienna, Milan, Rome, Napoli, Madrid, Barcelona, Stockholm, Belgrade, London, Prague
The solution’s impact to the crisis
SkipCrowds aids people, businesses, cities and countries to apply the recommendations of WHO, CDC, ECDC about Social distancing and with that it has a direct impact on the prevention of a second, third or fourth outbreak.
SkipCrowds saves lives by directly helping in flattening the curve and easing the health care system from being overloaded, and by protecting older adults and persons with serious underlying medical conditions.
That is not all. Our surveys have shown that more than 80 percent of people are concerned that they will contract the virus in crowded places. SkipCrowds will allow ease of mind in this difficult time where we are all more psychologically vulnerable.
The necessities in order to continue the project
Finding government support, sponsors, partners, promoters and influences is a big challenge at the moment. We find this to be a key point that will enable the solution to reach its full potential.
Secondary additional development power, both on the software and business side, would also be welcomed.
The value of your solution(s) after the crisis
Post-pandemic, this tool can be pivoted to help local businesses, Shopping malls, Banks, Fairs and etc. to better
serve customers
.
Busy parents and workers can skip crowds and avoid queues and essentially
save time
when going to locations.
The solution even may help emergency rooms and walk-in urgent care clinics better disperse their patients to reduce waiting times for everyone!
Our past 2 week adventure
During "The Global Hack" the following was achieved :
New team was formed that never worked together as such.
Main strength of the group is its multi functional coverage having a backend, front end and android developers, and medical, product, project, customer and partner relations management expertise.
In the 48h hours the goal was:
1). to have an MVP, a simple and basic solution ready to go live with web soution and android application
2). gather customer validation feedback to gather additional needed features or remove some
3). contact potential partners to help us with promoting the usage of the app.
We found out that the MVP is a stretch and we ended up with a prototype. We did 750 customer surveys in 15+ countries and we contacted 3 potential partners.
During "Together vs Virus" the following was achieved:
1). New IOS developer joined and development of the IOS application has started
2). Team reorganized and worked on MVP backlog refinement and organisation with additional Trello boards, creating clarity on how we continue for the future
3). Outlined what we can reuse from the prototype
4). Created the website homepage
Our next steps
We will continue focusing on local grocery stores and pharmacies in Montreal, Austria and North Macedonia, while exploring all the other cities we have tested. As other non-essential businesses open, we plan to expand to reach other high-influx spaces.
On development side our backlog contains more shining features, like service to the public health system for early information and prevention.
In order to scale the solution finding funds for operational costs would be fantastic, for example aws costs and google services costs.
Built With
.net
android
ios
node.js
react-native
sql
ux
Try it out
skipcrowds.com
drive.google.com
docs.google.com | SkipCrowds - Stop the spread with less crowds | SkipCrowds.com equips businesses and people with the tools to reduce crowd formation to prevent future outbreaks of COVID-19. Let's work together for effective and efficient social distancing! | ['Bojan Shkordovski', 'Nicole Wong', 'David Anastasov', 'Mimoza Gulevska', 'Viktor Jovanovski', 'Zorica Careva', 'Nenad Manev', 'Ice Carev'] | [] | ['.net', 'android', 'ios', 'node.js', 'react-native', 'sql', 'ux'] | 19 |
9,928 | https://devpost.com/software/challenge-1085-strong-virtual-worker-npyxvk | slide1
slide 2
slide 3
slide 4
slide 5
slide 6
slide 7
Inspiration
This is a trend which already existing, but with the crisis covid-19, the qty has increased and when it is finished, it is a safe bet that the trend will continue to increase. Therefore, we have chosen to address the issue of isolation that can cause mental health deterioration.
Following the interviews that we have done with users, we have observed that with the absence of social relationships, the most frequent pain point is the fact of no longer having social, personal interaction with his peers and the spontaneous side of his interactions. This amplifies the feeling of isolation. Existing digital tools do not address the spontaneous aspect that is usually found in the workplace. In fact, researches show the extent of this problem.
What it does
Imagine the following situation, it is almost 10 am and I would normally have my coffee with my colleagues but at the moment I’m at home. I'm getting up to go to my OWN coffee machine, I put my phone on my smart base. The “Pause me” application connects me to Stéphanie who is also taking her coffee break at the same time. Without having to touch my phone, a window opens and I will be connected to my friend and here we go, we can chat. The coffee machine is often the place where small talks happen. No meeting request, No messenging , Human way only...
How we built it
Our design is composed of two parts: smart stand and the application.
In the smart stand we are using RFID technology which is the trigger for the Pause me app.
The application itself allows to simply bridge between your favorite app and your coffee break.
Challenges we ran into
Finding real pain of the remote working community in term of personal interactions. Finding time within our family schedule (we have young chidren and we also work a lot). Working under pressure and remotely!
Accomplishments that we're proud of
We are proud to have found a simple solution which solves a deep need.
What we learned
A lot of statistics about isolation of course and realising that it's not so obvious, something it's a little bit too late when you realise you have symptoms.
What's next for challenge#1085 strong virtual worker
We have challenges in terms of security and technical programming.
Try it out
mm.tt
app.mural.co
drive.google.com | challenge#1085 strong virtual worker | Imagine a remote working world where chatting with your colleague, and taking a break, is as spontaneous as in person. | ['Stephanie Gagnon', 'Jonathan Hardy', 'Any Lavigne'] | [] | [] | 20 |
9,928 | https://devpost.com/software/groceryzon-k6bwpy | Home page for Groceryzon.
Choose the store that you would like to go shop at.
Book your time and get your QR code via email! Grocery store retailers will scan your QR code when you arrive to verify their records.
Register as a vendor or retailer!
Login page for retailers.
Here is where retailers can register their stores with the carrying capacity per hour.
Inspiration
Social distancing is a major factor in flattening the curve and the fight against COVID-19, but grocery stores tend to have a consistent amount of customers in the facility at once, thus reducing the effectiveness of social distancing. We decided to combat this problem, and offer a solution where users can book their time to come shopping at grocery stores.
What it does
Customers can select the store that they wish to go, and book an available time for that store. Then they will get a QR code to their email, allowing them be scanned and allowed into the store. Grocery store retailers can make an account on our web app, and register their stores, along with the carrying capacity per hour for the store. When customers book a time, retailers can login to their account, and scan the customer's QR code, thus verifying the booking and allowing entry.
How I built it
We built it using HTML/CSS for the front-end, and JavaScript for the back-end to implement APIs. We used fetch from JavaScript for the email processes and image processing, and used DigitalOcean to host the webapp.
Challenges I ran into
We were stuck on a long time with image processing and trying to read the QR code to get the necessary information, as well as the challenge of being remote with each other, limiting communication.
Accomplishments that I'm proud of
We are proud that we managed to get a final working product on groceryzon.ca, and we implemented an interface for the customer, and the retailer. As well, we are proud that we managed to overcome the challenges that working remotely brought, and that we had a great time here!
What I learned
Making a multi-interface web app, creating functions (emailing, QR code processing) to work with our app, and how to have a good time despite working remotely!
What's next for Groceryzon
Expanding our network with more grocery stores, and potentially expanding to more platforms, such as iOS and Android.
Built With
css
digitalocean
fetch
html
javascript
Try it out
groceryzon.ca
docs.google.com
github.com | Groceryzon | Schedule your next shopping trip to fight against COVID-19 | ['Karl Zhu', 'Azeddine Bahri'] | [] | ['css', 'digitalocean', 'fetch', 'html', 'javascript'] | 21 |
9,928 | https://devpost.com/software/health-buddy-tpfq1a | Health Buddy
Our Team
The Problem
The Solution
What's in Store for Health Buddy
Inspiration
We were inspired when we read about the doctors working on the front lines of coronavirus treatment. They work unusually long hours, sometimes lacking proper protective equipment. This leads to stress and burnout, which can negatively affect the quality of care their patients receive. In turn, these patients have worse outcomes.
What it does
As a response to healthcare worker burnout, we created Health Buddy. Health Buddy enables patients to report their symptoms online. These reports allow the doctor to make a quick decision about whether the patient needs an appointment. This not only saves the doctor time by avoiding unnecessary appointments, but also minimizes the need for the patient to expose themselves to other people.
How We built it
We built Health Buddy as a web-app based on BootStrap, jQuery, and FireBase. We divided each of the pages on our site amongst our team members and set off working. A few coffee-fuelled nights later we had Health Buddy...
Challenges We ran into
Many of us are new to web development, so starting was a challenge. Some of our members weren't familiar with jQuery, so there was a big learning curve. However, we all combined our experience and in the end we each got a working component.
Accomplishments that I'm proud of
I'm proud of the fact that we got a working login system, and multiple database-driven components all working together.
What I learned
I learned about how to use FireBase. Their API is surprisingly easy!
What's next for Health Buddy
We plan to add more telehealth features such as video conferencing and chat. We also plan to audit our security and make any necessary changes to it.
Built With
bootstrap
firebase
jquery
Try it out
jabbath.github.io | Health Buddy | We made a doctor-patient communication tool that lets patients make updates about their symptoms and book appointments. | ['ernynest', 'Divanshu Sharma', 'Prerna Prerna', 'Anton Afanassiev', 'Siwoon Lim'] | [] | ['bootstrap', 'firebase', 'jquery'] | 22 |
9,929 | https://devpost.com/software/team-9-hackathon | Inspiration
Going fast!
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Team 9 Hackathon | Team 9 Hackathon | Retrofit the Great Plains for better water management. | ['Billy Raymond'] | [] | [] | 0 |
9,929 | https://devpost.com/software/group-12-submission | 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 Group 12 Submission
Try it out
docs.google.com | Group 12 Submission | Retrofitting Abandoned Gas Stations into Sustainability Hubs | ['Soeun Park'] | [] | [] | 1 |
9,929 | https://devpost.com/software/carbon-sequestration-in-jackson-county-michigan | What's next for Carbon Sequestration in Jackson County, Michigan
CleanEnergy
CoalMines | Carbon Sequestration in Jackson County, Michigan | Increase jobs while decreasing carbon in the atmosphere. | ['Lisa Lin'] | [] | [] | 2 |
9,929 | https://devpost.com/software/eco-tourism-conservation-in-the-florida-everglades | Image of The Everglades from the National Park Service.
Inspiration: We were inspired to design something that could benefit the environment while also teaching future generations how to be better stewards of the planet.
What it does: Our Eco-Tourism education center provides educational courses and hands-on learning for visitors as well as an income source for the community that can contribute to environmental efforts.
How I built it: Google Docs
Challenges I ran into: Narrowing down the scope.
Accomplishments that I'm proud of: We developed a comprehensive idea that solved an issue in an innovative way.
What I learned: The challenges of building in a National Park
What's next for Eco-Tourism & Conservation in the Florida Everglades: Hopefully eco-tourism centers!
Try it out
docs.google.com | Eco-Tourism & Conservation in the Florida Everglades | Our project proposes retrofitting existing abandoned hotels and mansions in the Everglades to use as environmental education centers. | ['Emeka Ukaga', 'Trevor Melsheimer'] | [] | [] | 3 |
9,929 | https://devpost.com/software/earth-hacks-team-1 | Our proposed solution is to partner with the solar panel company VREC and the environmental
organization Greenpeace Canada (the same groups who outfitted the town hall in Clyde River
with 27 solar panels) to retrofit many solar panels onto many of the community’s homes in the
Clyde River area. After using Clyder River as a testing area, this program could be expanded to
the other more densely populated areas in the region.
Try it out
docs.google.com | Earth Hacks Team 1 | Retrofits for Clyde River | ['Sarah Barr Engel', 'Jack Flannery'] | [] | [] | 4 |
9,929 | https://devpost.com/software/retrofitting-supermarkets-to-provide-local-produce | See the full proposal here:
https://docs.google.com/document/d/1EETXKr7tgNrM11GqfUfgTzdJGfMncMyT3LGlNIixGP8/edit?usp=sharing | Retrofitting Supermarkets To Provide Local Produce | We propose the integration of green roofs and living walls, both exterior and interior, into supermarkets in urban areas. | ['Adrienne Lee'] | [] | [] | 5 |
9,929 | https://devpost.com/software/arctic-cordillera-solar-panel-retrofitting | https://docs.google.com/document/d/1pomYfhoaZiIAjJWkTwZfCQZamuHt_C5b7y0ZeP1h1_0/edit?usp=sharing | Arctic Cordillera Solar Panel Retrofitting | Solar Panels! | ['Jack Flannery'] | [] | [] | 6 |
9,929 | https://devpost.com/software/team-14-addressing-women-s-health-and-education-in-mexico | Inspiration
eqfr3qrfq
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Team 14: Addressing Women’s Health and Education in Mexico
Built With
english | Team 14: Addressing Women’s Health and Education in Mexico | Implementing Sustainable Resources in Merida, Mexico | ['Zoe Bottcher'] | [] | ['english'] | 7 |
9,929 | https://devpost.com/software/esw-hackathon | Retrofit old smaller farm(s) within Southern California farmland
Use existing buildings as on site housing for coop members
Provide opportunities to work onsite (Agriculture, water management, onsite vehicle repair)
Workforce Training (farming, auto/mechanical maintenance)
Efficient energy systems and on-site generation
Build a model from which best practices can be replicated
Try it out
docs.google.com | ESW Hackathon | SoCal farming coop | ['Justin Feldis'] | [] | [] | 8 |
9,929 | https://devpost.com/software/team-6-eswcon20-s6q90p | Meme Hacks
Inspiration
ESWCon21 !! | Team 6 - ESWCon20 | Retrofit for the future for northwestern forested mountains - integrated indoor farming | ['Sarah Wagner', 'Grant McCurdy'] | [] | [] | 9 |
9,932 | https://devpost.com/software/covid-19-test-centers-map-data | This page in our website contains a map with which users can enter their location and find the nearest Covid testing sites.
This page contains all the test centers per state through geodata and a quantity table.
This page contains a form with which users can submit their own testing locations.
The Team
We are a group of students that wanted to do our part in combatting the COVID-19 pandemic.
Inspiration
We saw that there were many drive-thru test centers for COVID 19, but there wasn’t a database that listed them all. So we wanted to become part of the solution to the COVID 19 crisis by making a website that includes all the testing sites.
What it does
The website we’ve created will compile the list of all the testing centers in the US so that the user can identify the nearest location. It also includes an interactive map, a data dashboard, a form to add more testing locations, and a contact page.
How we built it
First, we used Spreadsheets to collect the data. Then we used Wordpress.com to build the site. We used Storepoint to create the interactive map and also used Google Data Studio for the data dashboard.
Challenges we ran into
We had trouble collecting all the data because there was no single resource with all the testing locations. We had to go through various web pages and news articles to find the test center locations.
Accomplishments that we’re proud of
We’re proud of our cooperation in combining the map with the website. We are also proud of the many hours we put into data collection.
What we learned
We learned that cooperation is essential to success in a group project; if one person lacks, everyone suffers, and the whole project gets delayed.
What’s next for COVID 19 Test Centers Map & Data
The next step is to continue research and find all the test center locations in the US. However, to do this, it is necessary that we gain the public's help through crowd-sourcing; we can also work with other partners to collect more data.
Built With
css
google-data-studio
google-spreadsheets
html
iframe
storepoint
wordpress
Try it out
covidtestingnear.me | Covidtestingnear.me | A website to see the map of all the COVID-19 testing sites in the US, and find the nearest location to the user. | ['Saad Nawaz', 'Ahmed Nawaz', 'Amjad Nawaz', 'Tamjeed Nawaz', 'Zahid Nawaz', 'Tauheed Nawaz'] | ['Highlighted Project', 'Honorable Mention'] | ['css', 'google-data-studio', 'google-spreadsheets', 'html', 'iframe', 'storepoint', 'wordpress'] | 0 |
9,932 | https://devpost.com/software/tecnologia-e-vulnerabilidade | Inspiration
Hahd
What it does
HAHJKAD
How I built it
sahkj
Challenges I ran into
KHDSFK
Accomplishments that I'm proud of
jsdfÇ
What I learned
WhaFSDjçt's next for TECNOLOGIA E VULNERABILIDADE
Built With
apis | TECNOLOGIA E VULNERABILIDADE | RESOLVER PROBLEMAS DE LAVAGEM DE MÃOS EM COMUNIDADES SEM AGUA - | ['paulo abilio varella lisboa'] | [] | ['apis'] | 1 |
9,932 | https://devpost.com/software/3-1415-make-music-from-the-digits-of-pi | Inspiration
test
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for 3.1415 | 3.1414 | Make Music from the Digits of Pi | ['Carsten Hensel'] | [] | [] | 2 |
9,932 | https://devpost.com/software/projeto-team-7 | Inspiration
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 Projeto Team 7
Try it out
www.grafite-ciencia.cbpf.br | Projeto Team 7 + 7a | Descricao curta | ['Marcelo Albuquerque', 'Tobias Micklitz', 'Marc Casals', 'Anna Chataignier', 'Cassio Vieira'] | [] | [] | 3 |
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