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10,056 | https://devpost.com/software/summario | Have you ever attended a meeting and come out of it not really knowing what it was about? | kotkipiwnicamiaumiau | aa | ['Kajetan Knopp', 'Igor Dmochowski', 'mbknust', 'Adam Szokalski'] | [] | [] | 69 |
10,056 | https://devpost.com/software/water-tracker-7o92cp | Inspiration
As climate change becomes a severe issue, more people are at risk of floods. 2.3 billion people worldwide were affected by flooding disasters in the last 20 years, and hundreds of people are killed by floods every year. These facts are shocking, and the main reason why numbers are so high is that many people are not prepared or equipped when hit by one of these natural disasters. Not being prepared can cost your life. We need to solve this problem today to minimize the devastation caused by floods. That is why we made WaterTrackers, a website that tells you everything you need to know in case of a flood, and how at risk you are of encountering one.
What it does
WaterTrackers tells you everything you need to know in case of a flood, and how at risk you are of encountering one. Using the map, you can find your location and see how many floods occur in your area, and whether you're in danger. This data was taken from a CSV file which was prepared via a python script. You can also use it to make informed decisions about where you want to live and build communities. On our site, you can get detailed checklists to ensure you don’t forget small details. You will also find steps to take before, during and after a flood. We have useful tips to help prepare and guide you through what to do if you encounter a flood. If you are interested in learning more about floods, there will be additional links to other helpful resources.
How we built it
We brainstormed ideas and chose WaterTrackers because we felt it would be most useful and could save lives. Then we discussed our skill set and used trello to split the tasks, and github to share files. Some of us did research, some worked on the website, while others planned the video. We took the map data from a CSV file which was prepared via a python script. We used bootstrap studio to create the UI and UX of the website, and exported the HTML and CSS code. We then used the Google Maps API to embed the map with various flood locations in our website. As for the information (checklist and additional resources), we researched a lot of information related to floods.
Throughout the way, we helped each other out.
Challenges we ran into
We struggled to find a dataset with information on floods. When we found one, we had to convert the zip codes to latitude and longitude to add it to the map. The dataset was vast and, to turn the whole dataset using python would take 3 hours. Given the hackathon's time constraint, we truncated it and kept the data from 2005 to 2019. Another Challenge we faced were the time zone differences. Our time zones are very different (12 hours apart!) and we had a bit of difficulty organising our work. Some of us even stayed up late and compromised our sleep for this Hackathon. Some other challenges we faced include deciding which template to use in Bootstrap Studio, pulling the API into our website, and finding ways to host the website for free. The data also took 1 hour and 30 minutes to obtain from the python script, which means we needed to wait for it until 1am.
Accomplishments that we're proud of
We worked well together and made a functional website within 24 hours while learning from each other. All the teammates participated and communicated on the discord chat.
What we learned
We learned a lot about floods, its effects, how to prevent it, and how deadly they are. We learnt and explored with tools such as Bootstrap Studio, Hostinger, Google Map API and so much more! Since we had a full-stack web developer in our team, we were very fortunate to be able to learn so much about HTML, CSS and JavaScript from him!
What's next for WaterTracker
We plan to share our website with cities and states and expand it to include other countries to help governments better plan where to build. It doesn't make sense to develop and invest in areas that are prone to flooding.
Domain from domain.com:
http://nomorefloodedemotions.online
Built With
bootstrap
css
csv
google-maps
html5
javascript
python
Try it out
watertrackers.github.io
nomorefloodedemotions.online | WaterTrackers | Say goodbye to all the flooded emotions. | ['Min Min Tan', 'Charlotte To', 'Maryam Afshar', 'Mona Afshar', 'Dev Narula'] | [] | ['bootstrap', 'css', 'csv', 'google-maps', 'html5', 'javascript', 'python'] | 70 |
10,056 | https://devpost.com/software/article-summary | Inspiration
I had little time to look through the news article, even then I was not able to finish reading the news articles. This inspired me to create a fast way to read the lengthy articles in a short period of time in order to have time to finish reading all of the news.
What it does
My project helps to summarize web articles to reduce time that is spent reading the news. The must paste the link of the article and hit submit. Then the website and/or app will shorten the article, anywhere form a sentence to a paragraph, allowing the user gain the same amount of information while utilizing less time which then can be used for something more productive.
How I built it
This project was built using
Challenges I ran into
Switching from web flask to website, coding for texture, and using user interface. I tried to create a button that would allow the user to go back to the summarizer page, however I was only able make the website and app, but the user can refresh the app or go back to the summarizer page using the back button.
Accomplishments that I'm proud of
Successfully changing a web flask into a website and app, being able to create appealing appearance, highlighting as the user reads, and using user interface.
What I learned
I learned how to convert a web flask to a website, code for texture in python, and create user interface.
What's next for Article Summarizer
Being able to summarize multiple articles with having to refresh or go back, allowing user to choose summary length, and diversity in language options.
Built With
csi
html
javascript
python
Try it out
Nlp-article.herokuapp.com | Article Summary | Summary of long articles! | ['Neha Singhal'] | [] | ['csi', 'html', 'javascript', 'python'] | 71 |
10,056 | https://devpost.com/software/emg-controller | GIF
Demo!
Inspired by the Myo armband, I recreated my own version of the hardware completely from scratch using instrumentation amplifiers, operational amplifiers, resistors, capacitors, and an AD converter.
Since this was an online hackathon, I didn't have access to any electrodes, so I made my own from Canadian pennies, I sanded down the face to expose the zinc, which has a low enough impedance to work.
My setup is able to measure the electric signal that my brain sends to my forearm and bicep to move. This signal is measured even if someone stops my arm from moving because my brain is still sending that signal.
This tech can be used to control computers
The point of this project was to create bionic limbs for people who have lost their arms. We can read the signals their brains are sending to their missing arm and use it to control their prosthetic. Due to the short time period of the hackathon, and lack of resources at home I was unable to create a bionic arm to hook up to my project and demonstrate its capabilities.
Built With
arduino
c++
python | EMG Controller | Using the electric signals in your arm to control apps | ['Mayank Jain'] | [] | ['arduino', 'c++', 'python'] | 72 |
10,056 | https://devpost.com/software/team-builder-rov6lz | Inspiration
I was looking for a team to join on Discord, and there seemed to be far more people looking for a team than people offering to accept team members.
What it does
It's supposed to help people find teammates.
How I built it
To be honest, I could've used Node.js and this project would've been done already. However, in the spirit of the hackathon, I introduced myself to Python web hosting. It was a hassle, but I enjoyed it and hope to add more to the project soon.
Challenges I ran into
I mainly struggled with setting up the droplet. I learned the hard way that Flask has dependencies that are messy to work with, but I persevered, and I have a feeling actually coding the darn thing will be smooth sailing compared to the initial setup. Or I could always just switch to Node.js and Express.
Accomplishments that I'm proud of
I got Nginx to proxy to a Flask server hosted on Gunicorn.
What I learned
I learned a lot about systemd services, HTTP proxies, and HTML templates.
What's next for Team Builder
I hope to make a web app that could supplement future hackathons.
Built With
flask
gunicorn
nginx
pymongo
python | Team Builder | A way for hackathon participants to find teammates | ['Laszlo Goch'] | [] | ['flask', 'gunicorn', 'nginx', 'pymongo', 'python'] | 73 |
10,056 | https://devpost.com/software/alz-vision-639nrj | Home Page.
Upload Page to upload and describe a memory.
Redescribe page to redescribe an uploaded memory.
Detailed statistics page.
Analytics page displaying graphs.
Alz.vision
Inspiration
Nearly 50 million people worldwide fall victim to memory impairments such as dementia. We personally have met people who struggle with Alzheimer's and have forgotten critical information and cherished memories, even going as far as forgetting a loved one. And according to a report from Alzheimers Disease International, nearly 75% of Alzheimers patients worldwide go undiagnosed. Currently, when doctors diagnose dementia, they lack concrete data on a patient’s decline of memory, relying on a combination of brain scans, memory tests, and interviews with family members.
What it does
We decided to create Alz.vision, a web application that uses machine learning to help potential Alzheimers and Dementia patients. The app has 3 core components.
First, it prompts users to upload memories each day with a single sentence describing the memory.
Second, as time passes, the app prompts users to describe memories they have uploaded in the past again. Each of these descriptions are analyzed by a machine learning algorithm and are assigned scores.
Using state-of-the-art machine learning algorithms, such as Random Forest regression, Support Vector Regression, and clustering to name a few, the app analyses the scores and displays compelling graphs and statistics in real time for users and their doctors to view
By using machine learning to analyze many memories over time, Alz.vision is a data analysis tool that analyzes a user’s memory for signs of memory loss and provides doctors with key data to make a more accurate and informed diagnosis. The user uploads photos and videos to the application, along with a description of the event portrayed. As the user continues to upload photos and videos, they will be prompted to recall the memories by writing another description. Our similarity algorithm will analyze the two descriptions to determine their similarity. Using this data and algorithms such as Random forest regressions, Support vector regressions, Linear Regressions, and Natural Language Processing, the app provides graphs and visual aids to show a user's memory decline. In addition, it will search for any potential outliers in their memory loss and common keywords associated with those outliers.
Overall, by analyzing and performing data analytics on the user’s memory over time, Alz.vision is able to use state of the art machine learning algorithms to detect powerful trends as well as create compelling and easy to understand graphs, helping users take a more active role in their health and helping doctors make a better and more informed Alzheimer’s and dementia diagnosis. With more testing of our algorithm, we plan to expand our application to warn users if their declination of memory suggests Alzheimer’s or dementia and recommend that the user visits a doctor.
Accomplishments that we're proud of
We got the entire web application working together! We were really proud of how our application is currently functional and accurately creating graphs in response to user descriptions in real time. We can successfully upload memories and display them for redescribing. Also, our machine learning analysis is integrated into our app, so we're really happy about how everything is coming together. We should be ready to pitch our app and put it out to production.
How we built it
We used Flask, HTML, CSS, JS, and Bootstrap for the frontend and backend for this project. We used Flask-Mongodb and MongoDB Atlas as our database to store user information, images, descriptions, and scores. For the frontend, we used HTML/CSS/JS with Bootstrap. We implemented a text similarity algorithm based on Levenshtein Distance, Linear regressions, Random Forest regressions, Support Vector Regressions, and Natural Language Processing to analyze the descriptions and create compelling and meaningful graphs for both patients and doctors.
Challenges we ran into and What we learned
It was particularly difficult for us to upload images through MongoDB and we learned a lot about images with MongoDB and that there was a library which handled MongoDB with Flask (we were originally using only the original MongoDB library). It was also difficult for us to figure out how to return images from our machine learning algorithms to display on the website. We finally learned how to convert the graphs to base64 images, which we could then display on the website using HMTL.
For both the outlier detection and the sentence similarity scores, we tested a few models before reaching our final decision on the model which worked best. It was our first time using MongoDB Atlas and mongoDB, so it took some time to learn about the API. It was also a little difficult to work together online, but we used Discord as our platform and made sure to periodically check-in on each other.
From a non-technical standpoint, our team also learned a lot about Alzheimer's. We spent two weeks researching the disease to learn more about how it is diagnose and listening to real user stories.
Business Model
Market
According to WHO, There are nearly 10 million new cases of Dementia per year worldwide approximately, furthermore according to Alzheimers disease international 75% of people with dementia have not received a diagnosis. This makes our total market size over 40 million people.
Revenue Model
In terms of our revenue model, we will choose to make revenue in 2 key ways: Advertisements, and by offering a premium subscription offering advanced data analytic features and providing greater insight into a user’s change in memory.
Competitive Advantage
Finally, the competitive advantage. Current methods of diagnosing Alzheimers and Dementia include Interviewing family members, and conducting memory tests and brain scans, but there is no concrete data. Alz.vision on the other hand, analyzes images and memories over time to measure the change in memory, Uses ML and neural network to detect trends and patterns, and most important, provides concrete data.
Next Steps
We hope to share our app with local doctors to get their feedback on our app. We will adjust accordingly and then continue the design process to create a finished product. We especially want their feedback on how to display the data which will be most convenient to them. Then, we will pitch this product to local hospitals and clinics and hopefully collaborate with them to make this product a tool for patients to collect data to help doctors to diagnose dementia and Alzheimer's better. Overall we hope to see if we can make it a startup and push it out for our community and the world to use.
Built With
bootstrap
css3
flask
html5
javascript
machine-learning
mongodb
natural-language-processing
ntlk
numpy
python
sklearn | Alz.vision | A web application that analyzes the memory of users to determine signs of memory loss and provide key data for their doctors to make a more accurate and informed Alzheimers diagnosis. | ['Veer Gadodia', 'Shreya C'] | ['Finalist Prize'] | ['bootstrap', 'css3', 'flask', 'html5', 'javascript', 'machine-learning', 'mongodb', 'natural-language-processing', 'ntlk', 'numpy', 'python', 'sklearn'] | 74 |
10,056 | https://devpost.com/software/restaurants-near-me | Inspiration
We just wanted to have fun
What it does
It takes your location and finds nearby fast-food restaurants
How I built it
Using VSCode
Challenges I ran into
Working with a partner since software kept acting up
Working on the code
Getting the code to run
Accomplishments that I'm proud of
Finishing it
Adding a home and dropdown button
What I learned
More about website development
What's next for Restaurants Near Me
Better GUI and UI
Built With
css
html
javascript
python | Restaurants Near Me | We created a website which can locate popular fast-food chains around your area. | ['Bill Wang'] | [] | ['css', 'html', 'javascript', 'python'] | 75 |
10,056 | https://devpost.com/software/article-summarizer | Inspiration
I wanted to create a fast and easy way to summarize lengthy articles in order to save time while gaining the main idea of the article.
What it does
My project helps to summarize web articles to reduce time that is spent reading the news. The must paste the link of the article and hit submit. Then the website and/or app will shorten the article, anywhere form a sentence to a paragraph, allowing the user gain the same amount of information while utilizing less time which then can be used for something more productive.
How I built it
This project was built using
Challenges I ran into
Switching from web flask to website, coding for texture, and using user interface. I tried to create a button that would allow the user to go back to the summarizer page, however I was only able make the website and app, but the user can refresh the app or go back to the summarizer page using the back button.
Accomplishments that I'm proud of
Successfully changing a web flask into a website and app, being able to create appealing appearance, highlighting as the user reads, and using user interface.
What I learned
I learned how to convert a web flask to a website, code for texture in python, and create user interface.
What's next for Article Summarizer
Being able to summarize multiple articles with having to refresh or go back, allowing user to choose summary length, and diversity in language options. | Article Summarizer | A short sweet summary of long articles! | ['Neha Singhal'] | [] | [] | 76 |
10,056 | https://devpost.com/software/duck-duck-goose-043nfd | Please enjoy this very small and cute Canadian goose
What is this?
This is a text-based adventure style story that focuses on Honker the goose (as seen in the thumbnail) and his quest in search of his best friend, Ducker the rubber goose. This is set at the University of Waterloo campus, with four (main) possible locations to explore.
How did I make this?
I used
Ink
, which is a narrative scripting language made just for storytelling.
What up next?
Some next steps would probably involve having some images (read: doodles) of Honker as he goes on his quest. Creating this story was actually really fun, so I plan on making more interactive stories like this in the future.
Hear me out on this
It would take you at most 5 minutes to explore every possible piece of information, depending on how fast you read. Take your time! Explore the forest, infuriate the residents, create chaos to your heart's content (or at least, to the game's limitations). Think this as Untitled Goose Game but Canadian, shorter, and more-text-y.
The domain created for this is:
myemotionalsupportrubberduckyis.online
Built With
css3
html5
ink
inkstudio
javascript
json
Try it out
github.com | Duck Duck Goose | Help Honker the goose look for Ducker, his emotional support rubber ducky. | ['Yuxi Qin'] | [] | ['css3', 'html5', 'ink', 'inkstudio', 'javascript', 'json'] | 77 |
10,056 | https://devpost.com/software/mlh-helper | Inspiration
I created this project specifically for MLH Discord Server, this can simplify the process for check-in, so the user don't have to fill out the form over and over again.
What it does
This can enable user to check-in to a hackathon with a personal URL (shout out to people who actually figure out what's the number after the URL. It's something related to discord!). Then you can fill out your street address for your swag. And then you will prompt to choose the hackathon that you want to register. Now you can head back to the Discord bot, and type finished, it will check whether you are a user that is registered or have a hackathon on file or not, then it going to give you the detail for that hackathon. You will also automatically get a role to correspond to that hackathon.
Admin with mlh role can type attendees to get a CSV file contains with all the users who registered and checked in to this hackathon.
How I built it
I built it using discord.py for discord bot and Flask for the web interface and the server.
Challenges I ran into
The most difficult challenge I run into is how to assign people roles after they finished, and some researches on possible APIs to use. But I have to say use MLH Oauth is EASIEST OAuth I ever used!
Accomplishments that I'm proud of
First, I got the role assign working, I also find a good API that shows MLH Hackathons, and user can log in using MLH OAuth!
What I learned
I learned how to read documentation, how to use MLH OAuth, how to create a discord bot.
What's next for MLH Helper
The next for MLH Helper is we are going to enable more features and more customizability, so it's not only for MLH server.
Built With
api
csv
discord.py
flask
mlh
mlh-oauth
oauth
python
Try it out
discord.gg | MLH Helper | A Discord Bot that can simplify a process for checkin to hackathon. | ['boyuan12 Liu'] | [] | ['api', 'csv', 'discord.py', 'flask', 'mlh', 'mlh-oauth', 'oauth', 'python'] | 78 |
10,056 | https://devpost.com/software/x-press | Login + Create an Account
Converse, Promote, Justice
Home + Browse
Inspiration
We are all living through the Black Lives Matter Movement, which has enabled our team and many of our peers to voice our ideas and spread awareness about various resources, petitions, and organizations regarding how we feel about the protests, riots, and overall movement. Our team has seen how many of our peers have been turning to social media to express themselves and talk about their opinions and ideas, and while they are using platforms like Instagram, Twitter, and Snapchat to spread awareness, many of our peers have mentioned how these platforms can often get messy and disorganized. Many people tend to post the same resources over and over again, causing important information to get lost in a flurry of Instagram posts, and we quickly realized this was a big problem: there wasn’t a platform for teens to take action on civic movements. We thought of this idea before the hackathon began.
What it does
X-Press enables teens to become civic leaders by providing them with a plethora of resources. The app directs teens to take a quick survey when making their accounts to gauge their political beliefs and ideologies. Then, the app connects the teen with other like-minded students who can all communicate and talk about their ideas and opinions with others. Through this messaging system, teens can connect and plan projects or other endeavors together.
The app also features a page displaying numerous petitions and names of organizations that teens can sign or contribute to if they are interested in. Teens can also write and publish posts to talk about their opinions or pose a question. The app will monitor these posts to ensure there is no foul or harmful language used.
To provide unbiased information, the app will also regularly include and update many articles and news reports that write about the events happening in the nation and around the world so teens can access information related to a specific topic or cause.
The purpose of X-Press is to bring teens together and provide them with the resources, connections, and opportunities they need to not only become civically engaged, but also kickstart their own endeavors and projects to support causes they believe in.
How we built it
Our team utilized Swift and XCode to build our mobile application and utilized Canva to create the user interface layout. You can check out our UI design
here.
Challenges we ran into
Two of our team members are aware of how to create websites using HTML and CSS, but no one on the team was aware of how to code a mobile application or ever made a mobile app before. We chose to use Swift and XCode because two members of the team had Mac operating software, but because we didn’t know how to code with Swift and XCode, we ran into numerous problems understanding how to format the code and identify bugs. We relied on sources like Apple’s online book titled “Intro to App Development with Swift” and “The Swift Programming Language” to refer to how to create variables, write comments, and craft functions. We also watched numerous video tutorials over the past couple of hours from Youtube channels such as Code with Chris and freeCodeCamp to understand the user interface of Swift.
Another challenge was conducting adequate user testing. We wanted to show our app to teens, conduct beta testing, and receive feedback on how we could improve the app, but due to the time constraints, we were unable to. We relied on our UI designs made on Canva to get feedback from our users.
Accomplishments that we're proud of
Considering that our team had absolutely no understanding or previous experience in coding a mobile app, we are incredibly proud of the app that we built in such a short amount of time! We started building the application during the actual hackathon time constraint.
One of our other major accomplishments was that we were able to get survey results from over 111 people in the past couple of hours, and this survey was vital for our team to perform market validation and ensure that our problem was valid and widespread. From our survey results, 91.2% of teen participants agreed that activism on social media was messy and unorganized, and 94.7% of teen participants claimed that they would download and use a platform like X-Press that enabled them to be civically active.
We are also proud of the UI design that we made on Canva. Although our team had used Canva before to make slide presentations, we never used it to make UI design layouts. Experimenting with Canva and making a concise UI design is one of our accomplishments because it guided us tremendously while coding the app and was also an excellent way for us to visualize what the app will look like. We created the Canva design during the actual hackathon time constraint.
Overall, over the course of these 24 hours, our team has learned so much about mobile application development and we can't wait to apply the skills we learned towards future hackathons.
What we learned
Throughout this journey, we learned so much about the coding language Swift, specifically, how to utilize Swift and make a functioning iOS app. In such a short time, our entire team learned how to navigate through the Swift interface and utilize tools like Swift Playground to experiment with the coding language and format the code correctly. Our team understood the importance of commenting out code the hard way because when we ran the code and there was an error, it was extremely difficult to find the problem and fix it.
Our team also learned a lot about creating simplistic, yet effective, UI designs. Our initial design was very busy and packed with buttons, text, and other components, but throughout the process, we worked hard to ensure that our app was easy to navigate, and users could easily find what they were looking for.
What's next for X-Press
In the next couple of days, our team will continue to code the app to include all the features we want it to, and we want to incorporate APIs such as the Google Civic Information API and US Census API to feature real-time and accurate data in our app. We are also looking forward to creating an algorithm that will assess a user's political ideology based on questions that they answer while making their account, such that the app can accurately pair them with like-minded students. We would also like to integrate a donation/funding feature.
In the future, we want to partner with websites such as change.org, such that the petitions can make a profound difference. We then want to conduct a more thorough beta testing with teens across the nation to ensure that our target market needs an app like X-Press, and hear directly from teens to see if there are any features we should add or delete. We hope to launch X-Press as a complete business venture in the next couple of months.
Built With
canva
figma
swift
xcode
Try it out
github.com | X-Press | Students for social activism. | ['Mihika Bhatnagar', 'Trishala Jain', 'Anika S', 'Aditi Bongu'] | [] | ['canva', 'figma', 'swift', 'xcode'] | 79 |
10,056 | https://devpost.com/software/we-clean-ut03hq | Platform Widgets + Dark Mode in action
Calling our api
Data visualizations
Inspiration
Our inspiration for this project came from the recent riots in our city. The streets of our city were defaced and we realized that there had to be a better alternative than driving around the city aimlessly. We came up with the WeClean app to help assist our community in intuitively and efficiently locating places to clean. That way, our community post-cleanup will be as beautiful as before.
What it does
Users upload photos of damaged areas. WeClean adds these images to the server, as well as its location, allowing other users to help restore the area. This way, users can help clean when and where they can.
Challenges we ran into
This was our first time working with TensorFlow; it took us more than five hours and two developers to get both iOS and Android working, and after it finally worked, we spent 16 whole seconds celebrating before starting the next thing. Additionally, configuring OAuth caused us to pull half our hair out, as iOS and Android require different configurations. Configuring our Google Places and Reverse Geocoding api was also a challenge, as we had never written http requests to outbound URLS with NodeJS before. Finally, we had to manually locate and tag numerous unique photos of graffiti on murals, brick walls, and broken glass in order to train our AI, and give it enough time to build a model.
Accomplishments that we’re proud of
We are proud that we have created a cross platform app with both a dark and light mode that uses native widgets (such as Google Maps and Apple Maps) for each platform for a native feel. Additionally, we managed to gather data to train a TensorFlow model with Firebase ML using our own dataset with 274 labeled images to train the AI. We are also proud to offer OAuth Google sign-ins. In addition, we have cloud functions that use Google Maps reverse geocoding.
What we learned
We learned two new programs: TensorFlow & Deck.gl. To make a custom TensorFlow model, we used Firebase Auto ML. This was unlike anything we’d done in a hackathon before, and was a fun learning experience. We tried in a previous hackathon to get Deck.gl working, with no luck. This time around, with a fresh take and more experience, we finished it.
What's next for WeClean
WeClean will grow with a more intuitive way to add more cleanups, slightly improved UI/UX, adding a dark themed Google Maps for Android, adding more ways to sign in, and, most importantly, adding more data to our ML model.
Built With
automl
cloud-firestore
cloud-functions
dart
deckgl
flutter
google-maps
tensorflow
Try it out
weclean-4af67.web.app
us-central1-weclean-4af67.cloudfunctions.net
github.com | We Clean | WeClean helps people clean up their neighborhoods of unwanted graffiti. | ['Benjamin Swerdlow', 'Icy Dagger', 'Jessica Golden', 'Jason Telanoff', 'Clarissa Ramos'] | [] | ['automl', 'cloud-firestore', 'cloud-functions', 'dart', 'deckgl', 'flutter', 'google-maps', 'tensorflow'] | 80 |
10,056 | https://devpost.com/software/website-u8lvnq | 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 website
Built With
css
html | website | This website I'm creating will be using html and css | [] | [] | ['css', 'html'] | 81 |
10,057 | https://devpost.com/software/stickerchain | Project Logo
Website's Main Page where recent transactions are seen
Website's Main Page continuation
Sticker Collection featuring the technologies we used
Upload Sticker Page
Returned Image Hash from the Uploaded Sticker
Command-Line application for Blockchain Transactions
Inspiration
Who doesn't love collecting stickers?!? StickerChain was inspired to create a method of
collecting stickers/badges on the blockchain
by taking a different approach with Hedera Hashgraph and transactions.
What it does
StickerChain allows companies, conferences, events, and individuals to create their own unique event stickers/badges that have
value
and can be distributed to people throughout decentralized transactions in the blockchain using Hedera.
After the user creates an image, they are required to upload their sticker art to our web server, which will give an
image hash
that corresponds to the
uploaded asset
. The user needs to copy the generated hash and clone our public repository to make transactions to the blockchain with Hedera's JS SDK and Node.js. After writing a command to send the transaction (Ex: "node index.js 0.0.27 IMGHASH"), the image hash is sent along with a StickerChain identifier in the memo field of the Hedera transaction to make the identification of the sticker.
When a user queries for a sticker collection, StickerChain will only look for those transactions that contain our identifier on the memo to provide the user with the collection of assets.
How I built it
StickerChain functions with
3
primary services.
1) Command Line application with Hedera's JS SDK and Node.js:
Our Command-Line application, available in our public repository, is how we are able to integrate the blockchain aspect of StickerChain.
After going through the workshops and the tutorials available in Hedera's platform, we created code to make transactions with records and receipts using Javascript with Node.js and "@hashgraph/sdk." The application takes command line arguments to generate StickerChain transactions through Hedera.
2) Web application:
Our Web application is how we can generate the image hashes, handle the upload of stickers/badges, provide the collections, and transactions/
We built the web application with Python (Flask), and we hosted it on Google Cloud to provide the usage of Cloud Storage. The web application communicates with Hedera using Kabuto, a fast REST API that provides all the transactions and data to StickerChain.
3) Kabuto REST API:
By using the Kabuto REST API, we're able to provide all the transactions happening in Hedera's testnet and narrow down only the ones that have the StickerChain identifier.
We accessed the API using the requests module in Python. Every time the website was accessed, the Kabuto API handled the job of displaying the data.
Challenges I ran into
Learning blockchain from zero to creating an application in 24 hours was very challenging. Since we are used to the traditional centralized resources, we had to make a lot of modifications to our project in order to make sure we were focusing on a decentralized platform. One of the challenges was trying to keep the image resource decentralized by using hashes and providing availability to all the sticker arts that were uploaded. In addition, We had some problems with the Hedera API because we were accessing some deprecated modifiers and functions, so we had to figure out other ways of achieving the same result.
Accomplishments that I'm proud of
This is our first project that uses blockchain. Therefore, we are very proud of creating a full application that features a website with file upload, API access, and a Command-Line application in 24 hours!!! We are surprised by the amount of new knowledge gained from learning the blockchain and participating in Hedera's workshops.
What I learned
We learned how to interact with the blockchain using Hedera, Node.js, command-line, blockchain transactions, and Kabuto API requests. We also learned a lot about the infrastructure of the blockchain and its decentralized manner.
Built With
css3
flask
google-app-engine
google-cloud
google-storage
hedera
html5
javascript
kabuto
node.js
python
Try it out
stickerchain.appspot.com
github.com | StickerChain | Blockchain-powered platform to collect hacking stickers and badges with transactions in Hedera | ['Nathan Kurelo Wilk', 'Mauricio Costa'] | ['First Overall'] | ['css3', 'flask', 'google-app-engine', 'google-cloud', 'google-storage', 'hedera', 'html5', 'javascript', 'kabuto', 'node.js', 'python'] | 0 |
10,057 | https://devpost.com/software/public-pest-network | Inspiration
Our teammate Katie is an Entomology Student, she works collecting bug data from cutting edge agricultural units called high tunnels. This information is essential to those in the agricultural community, as it provides significant insight into current and future pest problems. Despite the information being both incredibly important and time sensitive, the data collection and archiving process is somewhat archaic. Katie places sticky traps around agricultural centers, and later collects the the traps to count the attached insects using a microscope and pad of paper, then manually enters the paper data onto a local spreadsheet which is provided to those members of the public who specifically request it by email. We wanted to work with her to develop an easier way to record and publicize her data, as well as augment it with some of the cool features blockchain and other decentralized networks can provide.
What it does
This project is accessed from two different interfaces. The first is a simple interface that allows the entomologist to interact with the distributed data network. These privileged users would be able to add their most recent information, as well as make updates and changes to previously entered data (the history of which is still kept on the Hedera network). The second interface is more an example of the possibilities our application can provide. Since at this point the data is safe in a distributed network, anyone can access the raw data and adapt it to better suit their needs. Our example includes a heat map of pest distribution over an area which provides farmers a direct visual representation of one of their most frustrating obstacles. However, the projected features include predicted economic impact of the agricultural community, as well as recommended precautions to take in the upcoming season.
How we built it
We used
Hedera Hashgraph
technology as the foundation for our project. This gave us a secure distributed system to collect and store the data that was being put through the front end. We used node, javascript and html to build the interface that users interact with.
Challenges we ran into
Learning our way around the Hedera materials was definitely a challenge at first but well worth it in the end!
Dealing with data i/o and handling around node and Hedera can be a challenge as well. Most of us are much more well versed in Python and C, which meant having to deal with Javascript's heavily synchronous architecture was quite the challenge in itself.
Accomplishments that we're proud of
Our team was not very experienced with web-development, hashgraphs or really anything we used, so we are proud of how much we were able to accomplish in
24 hours
!
What we learned
Most of our team were blockchain novices and they were able to learn a lot about it's importance, functionality, and some neat alternatives.
Since one of our teammates is an entomologist the rest of us got to learn a lot about bugs (_ too much _) and pest control methods and she learned a lot about coding.
What's next for Public Pest Network
A way to verify who is allowed to input data (User Validation).
Keeping track of alternative data points (weather, humidity, air quality) that can be used to draw conclusions and make predictions about the future
Built With
api
blockchain
express.js
hashgraph
hedera
html5
javascript
node.js
Try it out
github.com | Public Pest Network | Giving entomologists, farmers, and the public a friendly interface to view and publish pest data. | ['IceSkateUphill', 'Lily Sutton', 'BryanLikesToProgram Racic', 'Katie Grubb'] | ['Second Overall', 'Best Use of Hedera Hashgraph Consensus'] | ['api', 'blockchain', 'express.js', 'hashgraph', 'hedera', 'html5', 'javascript', 'node.js'] | 1 |
10,057 | https://devpost.com/software/prescryptochain | NodeJs, Express server logs
Prescriptions in mongodb
API doc on github
Inspiration
The UN estimates that there are 29.5 million people around the world with drug use disorders.
Most of the drug problem is found in average homes where people are getting their fix from legal medication . These pills are prescribed by doctors and picked up at patients neighborhood drug stores.
Painkillers, alongside sleeping pills and anxiety medication, are among the most abused legal substances. According to the US Center for Disease Control and Prevention (CDC), more than 42,000 deaths from opioid overdose were recorded in 2016 in the US. The youth are the most at risk. Prevalence of misuse is highest among Americans aged 12 to 25.
Many abusers start by experimenting with medication available at homes. Often, these substances serve as gateway drugs that lead users to explore more dangerous ones later on. Eventually, they tend to try out pills with stronger mind-altering effects.
Addiction can prompt them to commit prescription fraud. Some attempt to con doctors to get legitimate prescriptions or have pharmacies fulfill fake prescriptions.
Painkillers, alongside sleeping pills and anxiety medication, are among the most abused legal substances. According to the US Center for Disease Control and Prevention (CDC), more than 42,000 deaths from opioid overdose were recorded in 2016 in the US. The youth are the most at risk. Prevalence of misuse is highest among Americans aged 12 to 25.
Many abusers start by experimenting with medication available at homes. Often, these substances serve as gateway drugs that lead users to explore more dangerous ones later on. Eventually, they tend to try out pills with stronger mind-altering effects.
Addiction can prompt them to commit prescription fraud. Some attempt to con doctors to get legitimate prescriptions or have pharmacies fulfill fake prescriptions.
What it does
Prescryptochain is a solution which leverages the power of blockchain, smart contracts and mobile technology to provide an easy, efficient, secure and private way to handle the medication prescription and dispensing process. We use the Hedera ecosystem as the backbone for our system, with ancillary functionality provided by google cloud serverless functions for RSA keypair generation, signature and encryption/decryption services. The system works by first generating an RSA keypair for each patient, doctor and pharmacy in the system, and each interaction is double signed and encrypted using the participants’ respective keys. These encrypted and signed prescriptions are stored on the Hedera File Service, which then are readable by a Pharmacist by only using the public keys of the patient and the issuing doctor.
How I built it
The NodeJS Express application acts as the API for the application, it accepts requests to create encrypted prescriptions in Hedera File Service. The FileId of the record is then associated with Doctor/Patient records in MongoDb. The prescription is encrypted using a patient-specific RSA public key in a Google Cloud Function.
Challenges I ran into
CORS on google cloud functions was a seemingly simple problem but difficult to resolve
At the end, we made an app but we need another phone to record it, Since this is virtual hackathon, our team members are literally on opposite sides of the planet.
PEM formatted keys become unusable sometimes due to the serialization and deserialization and encoding processes which often introduce extraneous characters in a bytestream.
Accomplishments that I'm proud of
Building a working system collaborating with people from literally across the world in 24 hours, and being able to incorporate blockchain to solve a pertinent problem. Getting some of the tech to work despite numerous problems and not giving up.
What I learned
Blockchain dev is not for the faint hearted!
Serverless apps are great, but beware of dependencies and other such traps
What's Next for Prescryptochain?
Further develop the system for pharmacies and patients.
Built With
google-cloud
hedera
mongodb
node.js
python
react-native
Try it out
github.com | Prescryptochain | A secure method to create and fulfill prescriptions | ['Muntaser Syed', 'Vincent Occhiogrosso', 'Chris Woodle', 'Ebtesam Haque'] | ['Third Overall'] | ['google-cloud', 'hedera', 'mongodb', 'node.js', 'python', 'react-native'] | 2 |
10,057 | https://devpost.com/software/minimalist-broadcaster | Inspiration
I have a habit of checking my phone every five minutes. So I thought why not make something that can help me keep away from my phone while keeping me up to date with the world.
What it does
It scrapes tweets from your twitter account and broadcasts them over a topic. The raspberry pi which is subscribed to the same topic receives the tweet and reads it out loud over speaker.
How I built it
So the whole thing is divided into 3 parts:- trigger, scrapper and node. For triggering the action of scraping and sending tweet over the topic, I have used circuit playground. Pressing button B on Circuit Playground triggers a UiPath sequence which opens twitter in a browser, scrapes tweets from it and saves it in a csv file. When we press button A, Circuit Playground reads the tweets from csv file and sends them over the topic.
On the other side, we have a raspberry pi which is hooked up to a speaker and on receiving the tweets reads them out loud using speech synthesis.
The chat application itself is built upon Hedera's js chat demo. Using this, I was able to leverage the advantage of making the application distributed and serverless.
Challenges I ran into
It took me a while to figure out how I could read out the incoming messages using javascript.
Accomplishments that I'm proud of
I successfully built the application I wanted to build.
What I learned
This was my first time working with node and javascript so learnt to use those two.
What's next for Minimalist Broadcaster
Adding functionality for other social media platforms too.
Built With
circuitplayground
hedera
javascript
raspberry-pi
uipath
Try it out
github.com | Minimalist Broadcaster | Remove the distractions from social media platforms while keeping up to date with the world. | ['Jatin Dehmiwal'] | ['Best Hardware Hack presented by Digi-Key', 'Best UiPath Automation Hack'] | ['circuitplayground', 'hedera', 'javascript', 'raspberry-pi', 'uipath'] | 3 |
10,057 | https://devpost.com/software/turtletreasury | Adobe XD
Style Guide
Coding
Debugging
Testing Data Encryption!
More Debugging
Testing the Hedera Backend
Inspiration
A problem with centralized crowdfunding sites is a lack of transparency and accountability, that's why TurtleTreasury creates a decentralized ledger system so donors can see where their money goes. Normally on crowdfunding websites, people ask for money and have no accountability to their donors. A decentralized ledger system holds the projects accountable and builds a trustworthy crowdfunding system.
What it does
A user can create an account on TurtleTreasury by signing up with their Hedera credentials. The user authentication creates user accounts by linking them and validating them against their respective Hedera account. The main page of the web application shows trending projects that are asking for funding. Each project on the main page has a title, description, picture, and the amount of money left to be raised. Users can donate directly from the main page by clicking donate on a project that interests them, and using their Hedera accounts gives them the ability to donate with ease. People can create their own projects to ask for funding. If a project doesn't raise enough money, the donation money can be easily refunded cause we use the Hedera blockchain, and it has a ledger of every transaction made to said project. We can also see how the organizers of said project spend their money as with a decentralized ledger system, everything is transparent.
How we built it
Front-End:
React
Redux
Adobe.XD
Backend.
MongoDB with Express.js
Hosted on Google Cloud Platform
Middleware:
Hedera
Challenges we ran into
Complicated User Auth that required Hedera Account ID and Private Key.
Lack of updated Hedera docs and working examples.
Accomplishments that we're proud of
Working User Authentication by linking user accounts to their respective Hedera account.
Redux implement with React.
Payment system through Hedera Consensus Service.
What we learned
Prioritize planning an MVP early on in the development.
What's next for TurtleTreasury
Implementing separate donation pages.
Implementing a profile page with the ability to edit profile.
Built With
adobexd
express.js
hedera
mongodb
node.js
react
redux
Try it out
github.com
turtletreasury.space
104.198.160.168 | TurtleTreasury | A problem with centralized crowdfunding sites is a lack of transparency and accountability, that's why TurtleTreasury utilizes a decentralized ledger system so donors can see where their money goes. | ['Adrian Pilkington', 'David Quach', 'Michelle Kim', 'Moses Paul'] | ['Best use of Google Cloud'] | ['adobexd', 'express.js', 'hedera', 'mongodb', 'node.js', 'react', 'redux'] | 4 |
10,057 | https://devpost.com/software/daana | Landing page
Landing page
Landing page
Landing page
Donors page
Receiver page
Receiver page
Donor History page
Receiver page
Donor contribution page
Receiver page
Inspiration
Ensuring a transparent charity platform for all kinds of organizations.
Prevent fairly common fraud in donations.
What it does
First, we need to allow people to donate money to organizations, and also we should ensure the anonymity of donors.
Once the transaction is verified, it must be added in the donor’s portfolio which is only visible to him/her.
Allow the donor to review the status and use of their contribution.
And the major part is, making the usage of funds visible to everyone - showing a graph or chart displaying the relevant details.
How we built it
We have two sides of our project, donors and receivers.
Home page of the site opens, it gives two choices, either to continue as a donor or as a receiver.
Donor Description:
The landing page of donor consists of options to:
Make Donation to an organization from the list displayed.
View history of donations.
Make donation page allows the donor to pay a certain amount of funds from their account to the selected organization’s account and must be easy to use.
History should list all the donations made by the person, and on choosing a specific donation, should display its usage by the recipient.
Receiver Description:
Landing page of receiver will have:
A strong properly explained cause for receiving money as charity, even the government can have accounts for various use cases.
Initiate a new pool of donation drive, if not already it has one, this will have an upper bound of fund amount, and will be completed when it is reached.
Donors will donate the money. Once the pool gets filled, it creates a new pool with a new upper bound, and then, for each cent of money it deducts from its account, it has to provide a statement for the same, and also is proved by the consensus system.
The organization will maintain the details of all such pools, and they will also show up in the donor’s account.
Challenges we ran into
We have problems deploying Next.js on a hosting server and linking it with our daana.online domain.
Accomplishments that I'm proud of
We are proud of having successfully deployed our web on Netlify.
What we learned
We learned about Blockchain, Hedera, Netlify, Domains, Next.js, GitHub Projects, and how the smart wallets could prevent the scams on charity.
What's next for Daana
There is an extensive to-do list for Daana. We need to refine and rethink our platform to make it really functional and useful for the purpose that we had.
Built With
hedera
next.js
node.js
react
Try it out
daana.netlify.app
www.daana.online
github.com | Daana | Donation portal to solve the issue of scams. Donors can donate and see where the money is being used. As online charity is prone to scams, integrating with blockchain can solve most of the issues. | ['Abhinav Kumar Srivastava', 'R Prasannavenkatesh', 'Juan Alegría'] | ['Best Domain Name from Domain.com'] | ['hedera', 'next.js', 'node.js', 'react'] | 5 |
10,057 | https://devpost.com/software/trusues | connecting to blockchain
getting passwords
details
UI
Inspiration
the power of blockchain has removed reliability and as password managers are becoming essential, we find it obvious to include.
What it does
blockchain based password manager. no third party to rely on. a total trustless system.
How we built it
blockchain and smart contracts
Challenges we ran into
sdk issues and getting the write logic
Accomplishments that we're proud of
finally achieving it and solving the problem
What we learned
that any unexpected thing can happen and can take a lot of time to solve that
What's next for Trusues
we will build upon it and plan to make it open source so others can contribute too.
Built With
blockchain
css
css3
ethereum
ganache
html
html5
javascript
metamask
solidity
truffle
web3
web3js
Try it out
github.com | Trusues | Where trust can't be broken | ['Bahauddin Aziz', 'Khushi Saxena', 'SomBold'] | [] | ['blockchain', 'css', 'css3', 'ethereum', 'ganache', 'html', 'html5', 'javascript', 'metamask', 'solidity', 'truffle', 'web3', 'web3js'] | 6 |
10,057 | https://devpost.com/software/yellow-heart-cryptocurrency | What inspired us in the first workshop that had
Built With
javascript
Try it out
github.com | Yellow Heart CryptoCurrency | Created a crypto currency | ['Nicholas Cable', 'Jeremias Platero'] | [] | ['javascript'] | 7 |
10,057 | https://devpost.com/software/refund-just-in-time-funding-for-the-informal-market | REFUN #Digitizing the informal economy
The history
Inspiration
The comunity of small retaillers from my country Cape Verde faces big challenges because of the very formal systems of finacing and governement. Particulary in these times facing the problem of not geting a money selling their goods at the streets.
What it does
THe platform provide Just in time funding for the comunity of these retailers
How I built it
Basing on the Hedera Consensus Service to provide a trusted network to get funds from the banks and make it acessbly for the informal maket
Challenges I ran into
Buiilding the service on hedera, but we was able to do the first steps and know the tecnology
Accomplishments that I'm proud of
I was able to run a real world virtual machine on the cloud platform - Digital Ocean
What I learned
I was able to know a huge world of new tecnology to explore from cloud computing to blockchain private, public and now the consensus service from Hedera Hashgraph.
Its great to see thes new tecnology and what is possible to accomplish with then
What's next for Refund - just in time funding for the informal market
This is a new field to explore exploring the blockchain services at Hedera is the first step to get into the field as it provides a user friendly aproach.
The target market for this projet has greate potential, both to come with new inovatives solutions and to help the comunity
Built With
digitalocean
hashgraph
hedera
Try it out
refun.tech
github.com | Refund - just in time funding for the informal market | we provide a platform for Just in Time Funding | ['anilson monteiro'] | [] | ['digitalocean', 'hashgraph', 'hedera'] | 8 |
10,057 | https://devpost.com/software/gooseph-4w9ps7 | Gooseph
Demo video:
https://streamable.com/5htpus
Featuring everyone's favourite GOOSE
simple chat app running on localhost:5000
not finished yet
Chat forked from repository made by author
Paolo D'Elia
License
MIT
HONK
Built With
blockchain
css
html
javascript
Try it out
github.com | Gooseph | chat app | ['Ioana Iacoban'] | [] | ['blockchain', 'css', 'html', 'javascript'] | 9 |
10,057 | https://devpost.com/software/hackcoin-website | Home Screen
login page
Admin Page
Merch Store
Inspiration
I love block chain technology and am an investor in some erc20 tokens which is where I got the idea!
What it does
The website creates a hub for admins to distribute tokens and for users to spend tokens. "This tokens usecase is exclusive to particpants and winners of any Major League Hacking Hackathon. The idea behind this token is to award it to people participating in mini-events, competitions, or workshops. The tokens will be stored to a wallet created specifically for a user upon creation of an account. This token will then be used to purchase cool MLH merch! Spend your tokens how you want to! "
How I built it
I used python and Flask
Challenges I ran into
Getting it to run on the google cloud server and thus getting it to run on my domain.com site!
Accomplishments that I'm proud of
Creating what I did and trying my hardest
What I learned
This was my very first time interacting with Python, let alone Flask and the google cloud server!
What's next for Hackcoin Website
Creating an actual token and connecting it to the cloud
Built With
api
flask
python
sqlite
Try it out
github.com | Hackcoin Website | Hackcoin is a ethereum ERC-20 token that is exclusively used by participants at hackathons to redeem cool hackathon swag! This website is the platform for both users and admins to use! | ['Tyler Gates'] | [] | ['api', 'flask', 'python', 'sqlite'] | 10 |
10,057 | https://devpost.com/software/uncle-jon-blockchain-powered-gatekeeper-6cuxit | As coronavirus recedes, companies will have a daunting challenge to choose which employees work from home and who come to the office. Is there a solution to this problem? Yes, there is an idea!
Each employee will have to take an A.I powered test which will evaluate how likely they are to be affected by COVID-19. Then, based on the results of the diagnosis test and the position of the employee in the company hierarchy, it will automatically suggest which employees should be called to the office and how they must be seated. These results will be shared with the HR team who can then modify it as per their needs.
It will issue a digital identity card based on blockchain to the employees who have to come to the office. The identity card would generate a decentralized token id, which the employee would have to enter at the office gate. The identity card would be valid for a period of 7 days, post which the employee will have to take the A.I based test again to validate their health.
The use of a decentralized token will help common people understand the power of blockchain and how it can be used to protect privacy and yet provide a simple platform for the safety of workplaces.
Built With
blockchain
css
html5
javascript
mongodb
node.js | Blockchain Powered Security | A web-based automated security tool to check incoming visitors whether they are physically fit. | [] | [] | ['blockchain', 'css', 'html5', 'javascript', 'mongodb', 'node.js'] | 11 |
10,057 | https://devpost.com/software/covid-tracer-yvokcn | Inspiration
The COVID-19 crisis has created an unprecedented need for contact tracing across the country.
Some of the tools being used to stop the spread are : contact tracing, isolation and quarantine.
And so this application is so relevant in achieving this at the same time safeguarding the user data.
What it does
This application takes note of the location of the user every hour. this is later used for contact tracing and calculating the potential risk. Comparing the locations of the the COVID positive patient, people potential at risk are alerted. The health officials are informed if a person is At Risk!
How I built it
I meant to implement this using Blockchain Technology. Each block consists of the location, timestamp and the unique identification code of the user. For now I have just made an Adobe XD demo.
What I learned
I could learn the basic ideas behind the Blockchain Technology.
What's next for COVID Tracer
This could be implemented using Hedera Hashgraph and appropriate technologies to make this into a fully functional app.
Built With
adobe-xd | COVID Tracer | An application to safeguard you from COVID 19 threat | ['Rowan Kolengadon'] | [] | ['adobe-xd'] | 12 |
10,057 | https://devpost.com/software/htc-the-next-crypto-currency-you-never-needed | Inspiration
As a group of people who are - more or less - new to the topic, we found it to be a good idea to get our hands dirty before we use some fancy tools. Now, using Java and the many standard library features, they're not as dirty as they could've been, but there are only that many hours in... 24 hours.
What does it do?
I find this question to be offensive. Instead, I'd like to answer the question: What is it supposed to do?
The idea is, that given any other member of the network by IP, you can join. Then you'll build a network of your own peers and start listening for transactions while working on mining your own block.
All the blocks you've heard about are of course stored locally, so you don't need to request all the blocks from the other peers
again
.
Also, all the traffic is encrypted and signed using RSA keys so you can be sure where it's coming from.
How we built it
Since everyone seemed to know it, Java was an easy choice as our main programming language. To be as hassle-free as possible we used Gradle to manage our project.
The entire code is based on integrated language features like
java.security
and
java.net
.
Challenges we ran into
It turns out that, for those who haven't really heard anything about blockchain, it's quite a tricky thing to implement one.
Additionally, it's quite hard to get proper networking going while you're not the admin for your local network.
Accomplishments that I'm proud of
We implemented a decent data structure for the blocks and the chain.
We implemented a solid basis for a proper peer to peer network.
We helped each other get through the troubles we had and grew to be a better team.
What we learned
We all learned a lot about the Java language and its idioms. Additionally, we learned how to work with git properly and will hopefully never commit straight to
master
again.
We learned how to organise our work and do code reviews.
What's next for HTC: The next cryptocurrency you never needed.
Get it to run.
Implement all the other package types to make the networking complete.
Change the protocol such that each block contains more than one transaction. (We know that's the standard implementation but it makes it easier if you ignore this feature at first.)
Build a charming GUI to attract more users.
Write documentation.
Write tests.
Do 5 and 6. Seriously!
Built With
java
Try it out
github.com | HTC: The next crypto currency you never needed. | Have you ever wondered how boring it works that Bitcoin and Ethereum work so well? Well, we have a solution for your boredom. | ['Olamide Oso', 'Leyla Shakirzyanova'] | [] | ['java'] | 13 |
10,057 | https://devpost.com/software/fair-team-builder | Inspiration
Before and during hackathons, I see a lot of participants wander about discord channels searching for teammates. I thought it would be great, if there was a more efficient method for team-building while making the process completely transparent. Blockchain fits naturally to this use-case, because it allows the users to query all transaction history (who joined which team at what time) and it is decentralized (no outside authority intervening the process).
What it does
This application provides user interface for creating new teams, joining existing teams, and recruiting teammates. Each user needs a blockchain credentials to use the service.
How I built it
I built an express server that listens to Hedera Consensus messages. When a user makes a request (to create team, join team, etc.) by submitting a message, the server processes the request and update the current match-making state. Since blockchain guarantees order of submitted messages, the server's final state is deterministic.
Challenges I ran into
Compared to traditional way of communication (i.e. http request, socket programming), Hedera Consensus messages were significantly slower. I am not sure if this is because of inherent characteristics of blockchain algorithm or this is from limitation of Hedera's test network, but each transaction took a couple seconds to be processed. I could not find a way to improve speed of my application, so there is some impact on user experience.
I also had trouble subscribing to Hedera Consensus topic from front-end scripts.
What I learned
Blockchain is a very interesting field of technology that will innovate how developers think about web services.
What's next for Fair Team Builder
Right now, the web application does not display the real-time status. Users need to manually refresh the page to get the latest team-building status. My original plan was to subscribe to Hedera Consensus topic from front-end scripts and allow users to track team-building status without connecting to the server, but I had trouble with mirror nodes on my front-end scripts this time. If I could manage to fix that issue, then it would be possible to provide UI that updates in real-time.
Built With
express.js
hedera
node.js
Try it out
github.com | Fair Team Builder | Blockchain based team building application for communities. | ['Donghyeon Kim'] | [] | ['express.js', 'hedera', 'node.js'] | 14 |
10,057 | https://devpost.com/software/best-friends-4ever | Inspiration Marriage on the Blockchain
What it does Creates an immutable and decentralized record of your friendships for the rest of time
How we built it Solidity and Ganache for the Ethereum part. Web3 to interact with the Blockchain in the frontend. HTML and Css for the frontend.
Challenges we ran into The frontend gui had to run on a server.
Accomplishments that we're proud of Finished the ethereum cryptoZombies tutorial in 24 hours.
What we learned Solidity Dapp Programming
What's next for Best Friends 4Ever The MainNet!!!!
Built With
css
ether
ganache
html
javascript
node.js
remix
solidity
Try it out
github.com | Best Friends 4Ever | We've all heard of the phrase BFFs, or Best Friends Forever. But what if you could create an immutable record of your friendships on the Blockchain so you would truly remember to be friends forever? | ['Rami Souguir', 'Sungyu Kwon'] | [] | ['css', 'ether', 'ganache', 'html', 'javascript', 'node.js', 'remix', 'solidity'] | 15 |
10,057 | https://devpost.com/software/mlh-spark-ar-sticker-challenge-instagram-filter | Hunt the BitCoin
Hunt the BitCoin with the Bitblocktocat & a Nerd in a
MLH Summer League
Hackathon named
Hack The Chain | Hunt the BitCoin | Hunt the BitCoin with the Bitblocktocat & a Nerd in a MLH Summer League Hackathon named Hack The Chain | ['Siddharth Dayalwal'] | [] | [] | 16 |
10,057 | https://devpost.com/software/blockchain-based-swarm-robotics | the boids implementation
Unique ids stored in a smart contract
Inspiration
How could VIKI from I, Robot have saved herself?
A secure decentralised existence in her army of NS-5 robots of course!
A recent binge on Defcon 27 hardware hacking got us thinking about future technologies that needed parallel development in security and ease of deployment. Swarm Robotics is one such field.
What it does
It creates a decentralised network for swarm robots, ensuring security, trust and possibly improve the decision making capability of the swarm (consensus concept).
No new bot can be registered without it being registered through this network
Each bot is given a unique id which is used to register it on the blockchain network. The idea is to dynamically store the current position, velocity etc on the block for ease of communication within the fleet in a secure fashion
How we built it
Created a private ethereum network (ganache), made a smart contract that currently holds the array and positions of each of the bots in the swarm.
This can be used for efficient fleet management in industries, disaster rescue, permission management, data logging for autonomous bots etc
Challenges we ran into
Originally the idea was to create a block for every bot in the network however it is not possible to edit a smart contract once deployed.
The ability to access the info in a block and edit it. Possible solution is to deploy a distributed database (using ipfs and ethereum)
Accomplishments that we are proud of
Learnt smart contract and blockchain deployment overnight
What we learned
Theory: All about blockchains, smart contracts and consensus
Applications: Solidity, working with the web3.py library, swarm robotics, all about ethereum networks, truffle ( a little )
What's next for Blockchain based Swarm Robotics
Create distrusted database for the bots
Add a system of voting/consensus on swarm decisions
Built With
blockchain
ethereum
ganache
python
solidity
web3py
Try it out
github.com | Blockchain based Swarm Robotics | Decentralised network for swarm/fleet management system using blockchain | ['Ananya G', 'Krishna Prasad Bhat'] | [] | ['blockchain', 'ethereum', 'ganache', 'python', 'solidity', 'web3py'] | 17 |
10,057 | https://devpost.com/software/bugchain-blockchain-enabled-bug-tracker | Inspiration
What started as a decentralized voting app turned into a bug tracker.
What it does
It creates a decentralized log of bugs in any given software project for greater transparency.
How I built it
I watched several tutorials on youtube (freecodecamp) and tweaked a todo app into a bug tracking app.
Challenges I ran into
Spent hours trying to figure out why I couldn't get my Dapp to compile.
It was error after error, I had to strip nearly everything out which is why there's not much difference between my app and the basic todo app.
Accomplishments that I'm proud of
I got it to function. It's really cool seeing it actually post to the ledger.
What I learned
I had never worked with Blockchain development before today. I didn't even know what it was prior to today.
I went from having no interest in blockchain to now considering focusing all my attention on it while I'm still in school so I can make it a career path or use it heavily as a web developer.
What's next for BugChain: Blockchain enabled bug tracker
I want to add more attributes to the Schema. I'm not well versed in Node.js nor Postgres. But I'd like to add a "date created", "description of the bug" "steps taken to fix the bug" and a "date complete" column.
Built With
metamask
node.js
solidity
truffle
Try it out
github.com | BugChain: Blockchain enabled bug tracker | Track bugs via blockchain | ['Richard Rosenthal'] | [] | ['metamask', 'node.js', 'solidity', 'truffle'] | 18 |
10,057 | https://devpost.com/software/email-tracker | Online Form to Send a Trackable Message. Avaliable at: https://emailtracker.deepjain.com/
Extension that creates a button for seamless use.
Return Email.
Inspiration
It was getting frustrating that people were not responding to emails and that there was no way to know if the email was being ignored.
What it does
Tracks emails and notifies the sender when an email has been read by a return email.
How I built it
I built it using PHP and javascript. A secret token is sent as an image with the email that calls the server telling it that the email has been viewed. The server then sends out a return email with the required details such as IP and Time to the from address.
Challenges I ran into
Creating an image token that would not be seen by the recipient of the email. I ended up using a very small blank png image and used CSS to make the size of the image 1px by 1px so it is not seen.
What I learned
I learned more about email servers and email hacks especially email tracing.
What's next for Email Tracker
Public Extension Release for easier and seamless use(as in the pictures).
Built With
css
javascript
php
phpmailer
Try it out
emailtracker.deepjain.com | Email Tracker | know when your email is read | ['Deep Jain'] | [] | ['css', 'javascript', 'php', 'phpmailer'] | 19 |
10,057 | https://devpost.com/software/slpod | Inspiration
We wanted to create an app to help students find others to self-study
What it does
Students can join pods and create pods
How I built it
Jquery and bootstrap
Challenges I ran into
Getting Electron to work
Accomplishments that I'm proud of
Actually building the app
What I learned
It is difficult to create desktop apps cross-platform
What's next for SLPod
More time spent working on it
Built With
bootstrap
electron
jquery
normalize
react
Try it out
github.com | SLPod | Making Self Learning Easier | ['Jack Luo', 'NoobFected'] | [] | ['bootstrap', 'electron', 'jquery', 'normalize', 'react'] | 20 |
10,057 | https://devpost.com/software/beatbox-x3pmg7 | Inspiration
Learning new stuff
What it does
Its a music app ( BeatBox drum Machine) you choose the psttern you wsnt by xlicking on the checkboxes marks for esxh of the 16th best for the instruments and when you click start it will play tje pattern in a loop.. click stop to stop playing or you can play with the tempo using TempoUp and TempoDown
How I built it
Using Visual studio code , i used java programming language
Challenges I ran into
I got a AWT-EventQueue exception and some otjer errors and i found it challenging to debug my code and figure out wjere the problem is
What I learned:
I learned alot about java, and exceptions , as before today i wasn't very knoweldge about java, so i tried something new to me
What's next for BeatBox:
Peobably making a chat box where clients can communicate and share their pattern
( i attached a link to the video demo)
Built With
java
Try it out
github.com | BeatBox | BeatBox is a form of vocal percussion primarily involving the art of mimicking drum machines, It also involve vocal imitation of turntablism, and other musical instruments. | ['Harir Thaer'] | [] | ['java'] | 21 |
10,057 | https://devpost.com/software/cryptotpryc | Screenshot of our project final form
Inspiration
This is our first blockchain web app.
What it does
This can help you search for a certain value for a cryptocurrency.
How we built it
We used python and some blockchain tech to build it.
Challenges we ran into
We tried to use Hedera at it's best, but unfortunately, after help from all the friendly and patient community members, it still didn't work. So we switched to use other services.
Accomplishments that we're proud of
Create our first blockchain (sort of) website.
What we learned
We learned the basic of blockchain and hedera
Built With
blockchain
Try it out
github.com | CryptotpryC | We are trying to provide data once the user inputs the token address and ABI code. The youtube video tells the basics clearly, but do see the final production here: https://cryptotpryc.netlify.app/ | ['boyuan12 Liu'] | [] | ['blockchain'] | 22 |
10,057 | https://devpost.com/software/bitfit | FitBloc Logo
Main login page
See others stats with HashGraph Consensus
What it does
Everyone has a hard time finding motivation to get out and be active, especially during quarantine. Wouldn’t it be great to have an unbiased source of drive, that can motivate anyone to start working out. Introducing FitBloc, an intrinsically fueling, monetarily motivational social workout platform. The concept is simple: When you sign up for the service, your athletic ability gets evaluated with the elo ranking system and you get put into a league with similarly athletic competitors. Everyone will then have to run as much as possible, and at the end of the week, the ranking within the league will then determine how much of the winnings will be paid out to the participants of the league, and deposited into the users wallets.
How we built it
All of this happens with a blockchain. Users can register their public key and athletic abilities to a smart contract that keeps track of the people in a group and the wallet for the winning pot. Hedera HackGraph is then used to let people exchange their information and workout records to keep each other accountable. After the week is over, people report their performance and the smart contract unlocks the pot and sends the appropriate HBAR to the winners of the challenge! The cycle can begin again.
The app is easy to use. The only thing that users are required to have is a Hedera wallet to both provide a source of identity and to fund the entry into a group. You can see your own performance, as well as the performance of all others in your group.
MLH
We used UI-Path to consolidate the user data
Built With
blockchain
figma
hashgraph
ios
javascript
node.js
ui-path
Try it out
github.com
www.figma.com
drive.google.com | FitBloc | Use the power of blockchain to keep you accountable with your friends | ['Alexander Proschek', 'Surya Prabhakar', 'Sai Aguru', 'Rahil Patel', 'Riya Mehta'] | [] | ['blockchain', 'figma', 'hashgraph', 'ios', 'javascript', 'node.js', 'ui-path'] | 23 |
10,057 | https://devpost.com/software/hashchain | HashChain is a blockchain project created with Hedera Hashgraph Consensus. | HashChain | HashChain is a blockchain project created with Hedera Hashgraph Consensus. | ['Warp Smith'] | [] | [] | 24 |
10,057 | https://devpost.com/software/flappybird | FlappyBird
Built With
java
Try it out
github.com | FlappySquare | Tap your mouse and move the square | ['Hoang Do'] | [] | ['java'] | 25 |
10,058 | https://devpost.com/software/naturedex | Logo
Splash 1
Splash 2
Splash 3
Splash 4
Upload Image Screen
Add Image
See Top Result
See Other Options
View Past Plants
Plant Info 1
Plant Info 2
Best results
Inspiration
When going for a hike or a walk, you see lots of different plants. Ever seen a beautiful flower and wondered what it was called? Or a tree whose name you just can’t quite remember? NatureDex is here to help you identify and keep track of all the cool plants you encounter on your adventures!
What it does
NatureDex utilizes the Plant.id api to identify plants by analyzing photos that you take or upload from your camera roll. After analysis, NatureDex provides the common and scientific names of the identified plant so you can easily learn more about the plants you find. NatureDex also keeps a record of all the plants you’ve spotted before so you can look back at all of the trees and plants you’ve “captured”!
How we built it
We built this app using React Native on Expo for the front end. The backend is built with Node.js and Express.js, and utilizes MongoDB to store users’ plants. The server is hosted on Google App Engine. The website is hosted on Firebase. The Plant.id API is used to identify plants from user photos.
Challenges we ran into
We had some trouble connecting the tables and the databases together. It was also a little difficult to figure out the different navigation stacks for our application screens.
Accomplishments that we're proud of
We are proud of working with a third party API. This was the first time we had done so in a while and the documentation wasn’t very extensive so we had to figure out parts through examples and testing. We are very proud to have managed to create a fully functional finished application with a pleasing UI/UX within 48 hours while miles apart.
What we learned
We learned a lot more about working with React Native to create mobile applications and how to manage databases operations more efficiently. We also learnt how to store third party api data to a user’s database to increase efficiency and decrease costs and traffic to the api.
What's next for NatureDex
We want to expand NatureDex’s capabilities beyond plants to include animals such as birds and insects. We would also love to work on training our own models for recognizing different plants and animals!
Built With
expo.io
express.js
firebase
google-app-engine
javascript
mongodb
node.js
react-native
Try it out
github.com
backyardhacks2020.firebaseapp.com
www.naturedex.space | NatureDex | Identify plants when you're out and about! | ['Saloni S', 'Reshmi Ranjith', 'Megan Tran', 'Vincent Vu'] | ['First Overall'] | ['expo.io', 'express.js', 'firebase', 'google-app-engine', 'javascript', 'mongodb', 'node.js', 'react-native'] | 0 |
10,058 | https://devpost.com/software/trek-birk0z | Home Screen
Creating a Trek
Completed Routes
Inspiration
Going for a walk is one of the best ways to get some fresh way and reconnect with the world around you, especially during times like this. Our team realized that instead of taking the same path everyday, this is the perfect opportunity to tap into our adventurous sides and explore our communities. We want to inspire everyone to spend more time outside reconnecting with nature.
What it does
Trek creates personalized routes for you to explore your community, and it displays them to showcase all of the treks you’ve taken. After inputting your target distance and points of interests (parks, lakes), Trek shows you possible routes you can take on your daily walk. This way, you can achieve your target walking distance, visit natural spots, and explore new areas all at once.
How we built it
We built this using React Native for our frontend and Flask for our backend. We used Google Maps, Places, and Directions APIs to generate and display the routes. On our mobile application, we displayed the maps and accessed current locations using react-native-maps and expo-location libraries. On the backend, our route-generating algorithm factors in the points of interest and distance to build the unique route. It does this by including waypoints that consist of the points of interests along with nearby randomized locations.
Challenges we ran into
For one, because it was our first time building a React Native application, one of the biggest challenges we faced was actually learning the framework. This resulted in a lot of time spent learning about navigation, networking, hooks, state, and more. Thus, setting up the networking between our mobile app and our backend API proved to be a challenge. In addition, the backend server was challenging to create; designing randomized yet personalized routes required unique and creative solutions.
Accomplishments that we're proud of
We are proud of completing the goals we made for this hackathon. We were not only able to learn React Native, but also complete the core features of the mobile app. Most importantly, we are proud that we finished strong at our first hackathon.
What we learned
We learned React Native and its many features (hooks, navigation, etc.). Because we have not developed mobile applications or used React.js, this was a new experience for us. We learned how to debug and test our application, as well as network with our API server deployed elsewhere.
What's next for Trek
Next, we want to implement the ability to connect with friends and view their maps of completed routes. We also want to consider implementing a feature that displays the percentage of the community that has been explored.
Built With
flask
google-directions
google-maps
heroku
javascript
python
react-native
react-native-maps
Try it out
github.com | Trek | Explore your community in a new way, everyday. | ['Michael Shen', 'Vinh Le'] | ['Second Overall'] | ['flask', 'google-directions', 'google-maps', 'heroku', 'javascript', 'python', 'react-native', 'react-native-maps'] | 1 |
10,058 | https://devpost.com/software/beesafespace | The beehive outside
The front of the beehive
The top of the beehive
Our neumorphic dashboard client
Simple reinforcement learning built into the experience. As people use the system, the system will improve seamlessly
Result of object detection model drawing bounding boxes on a test image.
Computer vision model sample size and accuracy.
Twilio SMS notification sent when sensor is triggered.
domain.com order confirmation
Puns
Those pesky murder hornets just can't bee-hive themselves, their just a bunch of wanna-bees! We were buzzy all day and night working on this project, and it's not too shab-bee. We aren't pollen your leg! Oh, and even though we used US Bees though out the project, the implementation should work anywhere in the world.
Inspiration
As if a global pandemic wasn’t enough to handle, murder hornets have arrived in the United States. It only takes a few of these guys to wipe out an entire colony of bees in just a few hours, decapitating the powerless honeybees and taking their thoraxes to feed their young. At a time when honeybees are already severely threatened, murder hornets jeopardize not only bee colonies but also our food system. In fact, one-third of the food we eat depends on pollination by honeybees.
What it does
Our system connects directly to a beehive and uses a two-tiered architecture to create a low-power yet high-performance model to detect murder hornets and other honeybee predators. Once the preliminary test detects a honey bee, a more power hungry yet comprehensive model is run and the beekeeper is notified via SMS. The beekeeper can check the dashboard to view the image of each hive and respond to incidents. The images can also be given a ground truth label, allowing the system to continue to improve through reinforcement learning.
How we built it
The preliminary test
The first test is done completely on the arduino. We use a capacitive proximity sensor to detect anything larger than an average bee. Capacitive sensors are perfect for this task as they are relatively low power, can detect non-metal objects unlike inductive sensors, and can detect thickness of objects unlike ultrasonic sensors. If the capacitance changes enough due to a large enough object getting close to the sensor, the output voltage drops which the arduino detects via a thresholding algorithm. The arduino then enables the more power hungry computer vision system.
The cloud based computer vision model
We used Google Cloud Platform's object detection system trained on a few hundred of our own labeled images to differentiate between bees and hornets. The hardware is able to upload an image after the preliminary test is triggered, allowing the computer vision model to confirm that there is a hornet or identify it as a false alarm. The beekeeper is alerted via SMS, and the incidents and images are recorded in Firebase where it can be queried by the dashboard through a NodeJS API.
The dashboard
The data for the dashboard is stored in Firebase and is connected through a NodeJS API. The client is built in React using a
neumorphic design
, as we were bored of flat & material designs and wanted a challenge. A static version of the dashboard is available at our Domain.com domain
BeeSafe.Space
.
Challenges we ran into
Unfortunately, we lost one brave soul in the process of building the hardware. Despite the voltage divider on input to the arduino, the output from the capacitive sensor was enough to fry our first arduino before we fixed it by adding more voltage dividers and resistors.
We implemented the neumorphism on the dashboard from scratch, which introduced challenges in maintaining code quality and sanity.
Accomplishments that we're proud of
We're proud of putting so many moving parts together into a comprehensive solution that maintains high quality hornet detection while significantly lowering power and computational needs.
What we learned
We learned what neumorphism is and how to apply it in web development, how a capacitive proximity sensor works, including how it compares to other similar sensors and how to apply it in practical projects, and how to work better as a team when integrating different parts of a project remotely.
What's next for BeeSafeSpace
We're interested in exploring different methods of neutralizing the hornet before the beekeeper arrives. One idea is to apply a small shock, stunning the hornet while not killing it to avoid killing nearby bees, then allowing the bees to swarm the hornet -- when given the opportunity, bees do fight back, and can typically take down predators by swarming them and generating heat. Another potential defense could be to automatically close or open a small door, or use a fan to blow the hornet out of the beehive.
Built With
arduino
domain.com
electricity
express.js
firebase
google-cloud
netlify
neumorphism
node.js
react
serverless
twilio
Try it out
beesafe.space | BeeSafeSpace | Energy efficient system to keep bees safe | ['Ben Taylor', 'Anthony Zhou'] | ['Third Overall'] | ['arduino', 'domain.com', 'electricity', 'express.js', 'firebase', 'google-cloud', 'netlify', 'neumorphism', 'node.js', 'react', 'serverless', 'twilio'] | 2 |
10,058 | https://devpost.com/software/single-player-tennis | TinkerCad Circuit
Inspiration
The era of physical distancing has changed the dynamics of everyday activities and interactions, including sports. An example of this is tennis - a sport that's much more fun with a partner, or at least an opponent to compete against. When playing with others isn't an option though, what can you do? Well, that's where Single Player Tennis comes in. With enough space in your backyard and a hard wall to hit against (or at least materials to make one), you'll be well on your way to simulating a game of tennis on your own. You'll essentially be playing
singles tennis, online
!
What it does
Tennis backboards are common practice tools to help players improve their strokes, but it can get monotonous after a while. Single Player Tennis gamifies the backboard experience by simulating a virtual opponent.
According to a
study
, the average collegiate tennis rally lasts approximately 6 seconds. A randomized timer (between 2-15 seconds) will be initialized at the start of each point and a red light will signal the end of the point. At this point, the Player can push a button to signal that they "won" the point by successfully returning the ball with proper form; otherwise, the Computer "wins" the point, and the next cycle starts. This continues until either the Player or the Computer wins the game.
How I built it
Part 1
I started out playing tennis against the wall of our house in our backyard, but it was causing too much noise (and sometimes made the walls shake), so my family decided to put some time into a weekend project and build a tennis backboard for our backyard.
Part 2
Since I don't have an Arduino at home, I used
TinkerCad
to simulate and code the program. The program comes with a library of basic components, including an LCD screen and a push button. The library also includes a WiFi module that I wanted to use, but the simulation software limited its functionality.
Challenges I ran into
I was lucky that my family was willing to support me in this project and help build the tennis backboard. My dad had some extra pieces of wood from a previous project and was extremely helpful in building and placing the backboard.
Additionally, simulation is new to me. It took me a while to find a free Arduino simulation software, and with time running out, it seemed like TinkerCad had almost everything I wanted. Of course, the functionality was limited in that you can't import your own libraries or components, but I was able to adapt the project to what they had available. I really wanted to make use of the WiFi module and somehow connect it to a GUI on my phone, but the limitations of the simulation software wouldn't allow me to test it. Hopefully, this is something I can implement in the future!
Lastly, I tried to use a service called Netlify to host the domain from Domains.com, but for some reason I kept getting a message to configure the DNS. For now the domain gives a 404 error until the DNS updates, but in the meantime the full site can be found on Netlify through the temporary link found at the bottom.
Accomplishments that I'm proud of
Encouraging my family to take part in a weekend activity
Learning/experimenting with Arduino without the physical hardware
Building something that I know I will actually use throughout the summer
What I learned
As someone who is more comfortable with MATLAB syntax, I learned how to use programming foundations and apply it to Arduino syntax
Learned the power of simulations and its use for fast/cheap prototyping
Learn how to use OBS Studio and Adobe Rush to do picture-in-picture video editing!
What's next for Single Player Tennis
My main goal for this hackathon was to create an Arduino-based project in order to better understand how to use it and to get comfortable with its syntax. I like the idea of having a physical push button to signal whether I "won" the point or not, but it may be more feasible to turn the entire idea into an app for a phone/smartwatch. Otherwise, if more features/components are added to the TinkerCad simulation library, I may integrate the WiFi/Bluetooth module to communicate with my phone.
I'd also add features to increase the game count to at least 6 games so that the Player and the Computer can play at least 1 set if they wished.
Cover Image Credits
Photo by Mohammad Saemian on Unsplash
Built With
adobe-rush
arduino
obs-studio
tinkercad
Try it out
www.tinkercad.com
SinglesTennis.online
awesome-rosalind-959390.netlify.app | Single Player Tennis | Physical distancing left you without a tennis partner? Time to elevate your backyard tennis game! | ['Erika Yoon'] | ['Most Outdoorsy Hack'] | ['adobe-rush', 'arduino', 'obs-studio', 'tinkercad'] | 3 |
10,058 | https://devpost.com/software/catchimal | Landing webpage - 1
Landing webpage - 2
Landing webpage - 3
Wireframe Screenshot - 1
Wireframe Screenshot - 2
Wireframe Screenshot - 3
Wireframe Screenshot - 4
Wireframe Screenshot - 5
Wireframe Screenshot - 6
React Native App Screenshot - 1
React Native App Screenshot - 2
React Native App Screenshot - 3
Catchimal Logo
Alternative Logo
Soft Boy
Main objective of Catchimal
Encourage to get involved with nature completing a virtual album of animals together with your friends.
Features of the project
Social Media
Allows to see your friends registered animals, comment, and chat with them. Join your friends to explore the outside and the unknown.
Animal Album
You would have an album for storing the animals you have taken photos of in your life.
Photo Information
Catchimal is using GCP services to automatically recognize your animal information. Furthermore, you will see where, when, and how the photography was taken.
Animal Learning
See information and curious facts about the animals around you, chatting with AI chatbot. You would learn how to protect our nature and be sustainable.
Gamifier
It would be like a game, like a real Pokedex. Obtain points and rewards for taking pictures of exotic animals.
Shared Environment
Share albums between friends, showing the things around you.
User Account
See progress, status, points, challenges, rewards, and more!
Interact with your Animals on AR
Win points in a different way when there aren't more animals near. Play, feed or combat with your animals.
How we built it - Milestone we have achieved
We made a mobile react native app and a react landing webpage.
Use of Google Cloud Storage for uploading the animals photographs.
Google Vision, Cloud functions and GCP services for recognize animal data.
User can login, take a photo, and see some basic information about the animal identified by Google Vision.
Made a prototype on Spark AR of possible interaction of users with their avatarized animal photos.
Domain.com and Netlify for deploying the website.
Created a cloud machine with the robots running in UI Path cloud. One of these two bots running in the cloud scrapes random user profiles to add it to the project and stores it in a .CSV file, and the other one is a simple wiki scraper that generates a page with all the info about an animal the user wants.
What's next for Catchimal - To be done
Allow to avatarize animals on users album.
Add interactions and games with the AR animals.
Chats between users.
Add challenges and multiple albums, ordered by difficulty, to be completed.
Complete and enhance the functionalities.
Make a working chatbot that provides the required information by the user for each animal.
For future plans, it is going to be a complete social media, a game like Pokemon Go, and a platform with a chatbot AI for deep information about the animals.
Challenges we ran into
Lack of time.
Defining task and communication between team members.
Accomplishments that we are proud of
The first page on React of one of our members.
We think that Catchimal is a really cool idea, but do not know how to make it reality and used by real users.
What we learned
Some members worked with technologies that they have never worked like React, React Native, Google Cloud Platform or GitHub organizations.
Learned team work and communication.
Built With
css
github
google-cloud
html5
javascript
node.js
python
react
react-native
typescript
wit.ai
Try it out
catchimal.space
github.com
framer.com
expo.io
www.instagram.com
catchimal.netlify.app | Catchimal | Know and share the wonderful animals of our world. | ['Abhinav Kumar Srivastava', 'R Prasannavenkatesh', 'Juan Alegría', 'Paulina Schuler', 'Rutvik Patel', 'Kevin Baltazar Reyes', 'Gustavo Alegría'] | ['Best Hack for Sustainability'] | ['css', 'github', 'google-cloud', 'html5', 'javascript', 'node.js', 'python', 'react', 'react-native', 'typescript', 'wit.ai'] | 4 |
10,058 | https://devpost.com/software/extreme-forest | Botanical Workspace in Action!
Inspiration
Botanical Workspace was inspired by productivity apps like Forest and Pomodoro, which help you focus by promising a reward at the end of your work time, such as a five-minute break, or the growth of a virtual tree. We decided to use that idea, but to add a sense of urgency, by involving a real, living plant.
What it does
Botanical Workspace is connected to your houseplant and lets you view its surrounding temperature and humidity in real time. You can set a timer for yourself with our web app. Stay focused throughout your entire work period without switching pages, and Botanical Workspace will make sure your plant is well taken cared for and watered. However, if you get distracted, Botanical Workspace will douse your plant with a small flood of water. Over time, the excess of water can lead to repercussions such as dropping or wilting leaves and root rot. Make sure you remain focused to keep your plant happy and healthy!
How we built it
An Arduino senses the temperature and humidity of the plant, which is relayed to a Flask server. This data is then send through API calls to our React app and used to determine whether or not the plant needs watering. The React app also allows you to set your timer. If you switch pages and fail, an HTTP request is sent to the Flask server which in turn tells the Arduino to release the floodgates! If you succeed, the Arduino will care for your plant and water it regularly.
Challenges we ran into
We faced many problems during the creation of the many technologies, such as reading bytes of data from the Arduino's sensors. The format of this data was confusing and had to be relayed to the Flask server in the form of a POST request. We fiddled around with the server for a long time to get all the requests working correctly. Also, none of us had any experience with React, so it was a challenge to write the app and learn at the same time.
Accomplishments that we're proud of
We made a completely functional hardware hack remotely!
We took an idea and added a completely new twist to it.
We automated a process and gave it the added benefit of increased productivity.
What we learned
How to use React.js for web apps
Communications between Arduinos and computers through serial
How to correctly hand POST requests from multiple origins with CORS
What's next for Botanical Workspace
We really want to be able to cater to different types of plants with different watering needs. We also briefly considered the idea of using a halogen/UV bulb to supply light to the plant, and turning it off when the user fails to remain focused.
Domains
botanicalwork.space
distractionofflineplantlife.online
Built With
arduino
c++
flask
python
react
Try it out
github.com | Botanical Workspace | Stay focused to maintain a real houseplant! | ['Rohan Shetty', 'Samer Rustum', 'Matthews Ma', 'Harry Kim'] | ['Best Hardware Hack presented by Digi-Key'] | ['arduino', 'c++', 'flask', 'python', 'react'] | 5 |
10,058 | https://devpost.com/software/backyard-buffet | Backyard Buffet
Backyard Buffet Tech Stack Diagram
Inspiration
We’re living in an unprecedented time. Between more and more research coming out about how “food is medicine” and the benefits that eating better can have on your health, there has been a huge push lately to be more conscious about what we eat. With disruptions in the food supply chain due to COVID-19, however, it’s sometimes hard to find fresh (or even minimally processed) food in grocery stores. Many people also don’t want to go shopping every few days for fresh ingredients if they can afford to stay home and self-isolate. At the same time, with schools and businesses closed or at reduced capacity for the foreseeable future, a lot more people are exploring parks and connecting with nature.
We wanted to combine these two ideas to allow people to forage for food like our ancestors did, safely and efficiently. The catch is that most people don’t know what plants out in nature are healthy, or can be used for what purposes. While it is pretty straightforward to pick a plant you know (say, a willow tree), and look up the health and medicinal properties (the bark can be brewed into tea with similar properties to aspirin), what do you do if you don’t know the name of the plant you’re looking at? That’s why we created Backyard Buffet, a one stop app for not only plant identification, but also determining health and medicinal benefits from a plant, as well as recipes to incorporate more everyday plants into your diet.
What it does
Backyard Buffet lets you know whether or not plants (or parts of plants) are edible. It gives information on how to prepare the edible ones for eating, as well as possible health and nutritional benefits. For inedible plants, Backyard Buffet lets you know whether they’re toxic, or simply indigestible.
While we’ve built a wide variety of different options to accomplish that goal, they all follow the same basic formula:
You take or upload a picture of a plant you want to analyze.
A Tensorflow Machine Learning Model (trained in Google Auto ML Vision) identifies the type of plant in the picture.
All of the results are displayed in a standardized, easy-to-understand dashboard. These results include common information like the name of the plant and whether it is safe or not, as well as detailed information about nutrition, health benefits, side effects, and recipes.
When it comes to using this app, we know that there are different use cases that users may have. Therefore, we built a wide range of ways to get the plant photos into TensorFlow to hopefully fit every use case. These include:
From a computer or 2-in-1 web browser, you can hold a plant up to the webcam and take a picture. This is perfect for using plants you have already picked to pull up recipes on a larger screen while doing meal prep.
From a computer or 2-in-1 web browser, you can upload a picture from your hard drive. This is perfect for looking up information on plants you’ve found before heading back out to harvest them
From a mobile device (iOS or Android) web browser, you can take a picture of a plant directly from the app. This is perfect for exploring around your house or campsite.
From a mobile device (iOS or Android) web browser, you can take a picture from the native camera and send it directly to Backyard Buffet. This is perfect for taking a quick picture where you can use some of the advanced camera features like the flash or zoom.
From a mobile device (iOS or Android) web browser, you can upload pictures from your camera roll. This is perfect for learning about plants you saw on a nature walk when you were not connected to the internet.
From a mobile device (iOS or Android), you can download our Flutter app and take pictures and get plant information without ever needing to connect to the internet. This is perfect for long hikes or backpacking trips with sparse to no internet.
Overall, Backyard Buffet takes the idea of simply identifying a plant from a picture to the next level, by providing input methods for any use case, and more detailed information about each plant than any other app out there.
How we built it
Underlying the entire system is a TensorFlow Machine Learning model that we trained in Google Auto ML Vision. To do this we followed the these steps:
We went exploring in our backyard and local parks, and identified as many different plants as we could.
We thoroughly researched each plant, and identified those that we thought would be good candidates for training into the model. We tried to pick a mix of edible and toxic plants, as well as common and rare plants to show the scope of what Backyard Buffet could do.
We went back out and collected more than 100 photos of each of our 4 candidate plants (Hostas, Dandelions, English Ivy, and Bloodroot). We also collected a mix of other plants on the internet for a “None of the above” category.
We wrote a number of custom python functions to handle data processing and preparation, before uploading all of the photos (now standardly named and labeled) to Google Cloud Storage.
We imported our Google Cloud Storage Bucket into Google Auto ML Vision, and trained our TensorFlow Model.
Next, we jumped into building a React App styled with Material UI to serve as our initial portal. We selected this for the following reasons:
It runs as a single page app, therefore once the app is loaded, it no longer requires the internet to run.
We can quickly and easily support almost every internet connected device, so we can reach the most users as fast as we can. Material UI was also designed with mobile responsiveness in mind, so we know that it will work for any sized device a user has.
We can distribute a demo with no software downloads required. In particular we chose to use Firebase Hosting to ensure availability and scalability of our initial demo, which is available for you to try at
https://backyardhacks2020-gcp.firebaseapp.com/
.
Finally, we created a Flutter App in order to entirely remove the need for an internet connection to access Backyard Buffet. This means that it can be used in the middle of nowhere where WiFi or cell service may be sparse or non-existent.
Challenges we ran into
Interestingly enough, this ended up being one of our most straight forward hackathon projects. This was our first time training our own machine learning model, so it certainly took some time going through the Google Auto ML documentation. However, once we understood how everything worked, it wasn’t really all that challenging.
Likewise for creating the Flutter App. This was the second time we’ve ever built any mobile app, so once again there was a learning curve, but it was mostly just going through the documentation.
Surprisingly, what ended up being the hardest was connecting to the webcam for the webapp. While we’ve built video systems from scratch before, we were actually able to start out with an npm module to jumpstart this project, and we expected the video implementation to be the simplest aspect. However, this was our first time supporting more than just desktop browsers, and so it was an… “interesting” experience. While rendering the video was trivial, trying to turn on the right camera with the right-sized video was really difficult. While getUserMedia is the standard to connect to A/V input devices, the constraints that it accepts vary greatly from browser to browser, and version to version. Ultimately, we ended up writing a complex constraint tree that would adjust the parameters given based on the error message of the last camera render until the camera finally turned on.
Accomplishments that we're proud of
We accomplished every objective we set out to, with (almost) enough time to film our demo video before the sun went down and the rain started. We were also able to solve most of our cross-platform support issues, so we’re relatively confident that our app will work on pretty much any environment that a user has.
What we learned
As mentioned earlier, this was our first time creating our own machine learning model, so we learned a lot more about how machine learning works behind the scenes (instead of just calling someone else’s model or API).
We also learned a lot more about app development (using Flutter in particular), because that is not something we have had much experience with before.
Finally, we learned a ton about how to build cross-platform support into an application. In particular, we learned how different browsers handle images and video, and how to build debugging into the app itself so that it can adapt to its environment.
What's next for Backyard Buffet
Because we didn’t know how long it would take to train our image identification model in Google Auto ML Vision, we started small so that we wouldn’t bottleneck the rest of development. Now that we have the basics in place, if we have more time (and a bigger budget), we’d like to expand our model to identify more types of plants.
We’d also like to work on expanding cross-platform support. While we think that the camera video stream works pretty much everywhere, our primary development environment was a computer. Consequently, it wasn’t until some of the final stages of development that we found out that phones with ultrahigh resolution cameras can sometimes overwhelm TensorFlow. Therefore, in the future we’d like to work on advanced image resizing and sampling to reduce the size of the high-resolution images that tend to get uploaded directly from the phone’s native camera into Backyard Buffet to improve performance and reliability.
Try it Yourself
Want to try out Backyard Buffet for yourself? Check out our demo at
https://backyardhacks2020-gcp.firebaseapp.com/
. Note that for best results, we recommend Google Chrome on either a computer or Android. iOS and other browsers are supported, but we’ve found that either video compression or permissions can sometimes vary between browsers and impact performance once the image goes into TensorFlow.
Built With
dart
firebase
flutter
google-auto-ml
python
react
tensorflow
typescript
Try it out
backyardhacks2020-gcp.firebaseapp.com
github.com | Backyard Buffet | Your foraging friend for maximizing Mother Nature’s menu. | ['Andrew Dimmer', 'Nathan Dimmer'] | ['Best use of Google Cloud'] | ['dart', 'firebase', 'flutter', 'google-auto-ml', 'python', 'react', 'tensorflow', 'typescript'] | 6 |
10,058 | https://devpost.com/software/veglife | Landing Page
Login
Sign Up
Thank You!
Info Page About Your Journey
Choose Your Diet Journey
Main Dashboard
Shop
Upload Receipt to Earn Points Based On the Number of Vegan/Vegetarian Items You Get
Coupons to Help the User Buy More Vegan Groceries
All Of The Cryptocurrency That The User has Earned Is Stored Here
Offers For Today
Order Placed
Map of Nearby Companions That Have a Similar Diet Goal As The User
Example of a User With Similar Diet Goals
Leaderboard To Engage in Friendly Competition Against Other Companions To See Who Can Get The Most Cryptocurrency
Inspiration
Our inspiration for VegLife came from vegan and vegetarians' experiences when trying to purchase/consume food related to their diet. Furthermore, we wanted to give them a more motivational experience so we put a companion option to help them find others who are on a similar diet plan as they are.
What it does
VegLife is a mobile application that can help you on your journey to becoming a vegan, vegetarian or pescatarian with a growing community of people to help motivate you, rewards to encourage you and more. Using in-app cryptocurrency, users can buy vegan/vegetarian groceries with gift cards that are otherwise rather expensive. This way, people would stay motivated to following their diet goals. Next, there is also a AI built in the app which lets users scan the food and determine whether it is vegan, vegetarian or pescatarian. Last but not least, with the implementation of local companions to help them along their journey, people are bound to make a healthy difference on the health of the earth and themselves.
How we built it
We used Flutter, Dart, React-native, JavaScript for the front end. Tensorflow for the Machine Learning. MongoDB for the database and the UI/UX, is designed in Adobe XD. We used Express Server for the backend to handle routing and JSON web tokens for restricted routing. For passwords hashing, we used, bcryptjs.
Challenges we ran into
When we were trying to train the machine learning it crashed at certain times.
Accomplishments that we're proud of
We are proud that we learned about machine learning and we were able to make the app classify the different food diet categories.
What we learned
We learned how to make a TensorFlow machine learning model that has the ability to recognize images and a Flutter camera API.
What's next for VegLife
Our future plans for VegLife is that we would like to improve the app as much as we possibly can and then launch it into app stores worldwide to help everyone start and maintain their eco-friendly lifestyle.
Domain Name
dontbeahaterbeacreator.tech
Built With
adobe
css3
dart
express.js
flutter
google-cloud
html5
javascript
json
jwt
lite
mongodb
react-native
tensorflow
xd
Try it out
github.com
github.com
github.com
veglife.netlify.app
dontbeahaterbeacreator.tech | VegLife | A Convenient, Community-driven, and Eco-friendly application that helps to maintain a path towards a healthy lifestyle | ['Andrew Yang', 'Sohil Athare', 'Saffat Aziz'] | ['Best Domain Name from Domain.com'] | ['adobe', 'css3', 'dart', 'express.js', 'flutter', 'google-cloud', 'html5', 'javascript', 'json', 'jwt', 'lite', 'mongodb', 'react-native', 'tensorflow', 'xd'] | 7 |
10,058 | https://devpost.com/software/health-bot | Inspiration
In our day to day lives, we often overlook our mental health, physical health, emotional well-being or all three at once. Even when we decide to invest more time in ourselves, we don't know where to start. So we made a website where you can find all the information in one place. We have sections for Home Workouts, Outdoor Workout (to keep you physically fit), Mental Health (for filling you up with positive thoughts), Healthy Eating (to keep your immune system in good shape) and Connecting with Loved ones (so you always have someone to talk to).
How we built it
We used wix to design the site. We used UiPath to scrape the video links from youtube and populate the database. The Google action for Google Assistant was made using google action console and Dialogflow.
The Google action allows you to get workouts and tips from your smartphone, Google Home or any device with google assistant in it.
The outdoor workouts will certainly make you feel more connected with nature 😉
Challenges we ran into
We struggled with creating follow up intents with dialogflow and getting the google action to work.
Accomplishments that we're proud of
Learning how to use Dialogflow was a great accomplishment for us. Also this was our first time making a website so we are pretty proud of how the UI turned out to be.
What we learned
Making google actions, creating websites using wix, populating data using UiPath
What's next for Health Bot
Adding a whole variety of workouts and making a skill for Alexa too.
Built With
dialogflow
google-actions
uipath
wix
Try it out
maggiefloat.wixsite.com | Health Bot | Taking care of your mental and physical well-being | ['Maggie Hou', 'Julia Ma', 'Jatin Dehmiwal', 'Victor Yau'] | ['Best UiPath Automation Hack'] | ['dialogflow', 'google-actions', 'uipath', 'wix'] | 8 |
10,058 | https://devpost.com/software/peter-pan | Inspiration
Joblessness is skyrocketing and tens of millions of people are thrown into economic uncertainty. It is causing sprawling lines at food banks as people desperately seek their next meal.
According to University of Manchester Research, people say there is always five lots of stuff left over and it stresses them when the food is wasted. 60% of Canadians throwaways were edible, costing more than $1,100 per year. An average American spends over $7500 over food, but less than 30% is from home cooking.
To solve this issue and reduce food wastage, we have launched our AI chat web application Peter Pan, which provides you easy and organized way to create a mouth-watering recipe sand enhances your outdoor experience.
You can simply create your meal during outdoor activities or camping in minutes with the web application. Hiking, camping, no matter what activity you are doing, do not worry about what to eat when planning your next trip. Peter Pan is made to be your best travel companion no matter where you located in the world.
What it does
Peter Pan is a free software web conversational AI application that recommends dishes based on the ingredients you have, and tells you the recipe step by step. It is not only the best quarantine cooking sidekick, but also the best travel cooking companion no matter where you are located in the world.
It gives you three options for inputting your ingredients you have in hand – take a picture, input with text, or simply talk to it, then this app will offer a wide variety of tasty recipes.
At first, Peter Pan asks the user to input name, ingredients you don’t want, and health concerns in the profile section before it starts listening to the available ingredients. After customizing the options, you can take a picture of the ingredients you want to use cooking. You have to confirm which one to pick from two options for the meal convenience checkup. The quick option provides menu with least number of steps, and the creative option provides menu with the greatest number of steps. Just tell Peter Pan what you feel like having.
After that, Peter pan will recommend some menus according to its selection algorithm and your preference. Don’t worry if you don’t feel like taking the menu we recommend because we are going to provide other ones until you are satisfied. If you feel like you are behind following the steps of the recipe, don’t hesitate to tell Peter Pan. You can always ask Peter Pan to repeat the steps.
Once you are done with following the steps, smart Peter Pan will calculate and tell you how much you have saved by cooking yourself today. You can add the result to Google calendar and track how much you have saved by cooking.
How I built it
Website: Html, CSS, javascript, Figma
Computer vision: Python (Google computer vision API)
Back-end: node.js, Flask (Google cloud platform)
Conversational machine: voiceflow (Google Assistance), recipe extraction (Spoonacular API)
Challenges I ran into
Trying to publish a fully functional and a visually compelling application on time was very challenging. We have all came up with a bunch of features we want to implement and each of our members worked on different parts of the application such as front-end, back-end, Voiceflow, and image recognition, so we had a hard time trying to put the all the parts and functions together.
When we started working on this project, our team was not very familiar with using Google Cloud, Voiceflow, and Google Cloud Vision API, so we had to spend some time familiarizing ourselves getting used to its features. One of the most challenging tasks was publishing the application using Voiceflow and integrating it with Google Assistance.
Even though we had to ask our mentors and spend much time on getting confident with the developing tools, we are very proud that we have but we have ended up understanding and published a conversational web application.
Accomplishments that I'm proud of
We are very proud that we were able to produce a fully functional and a visually compelling app. According to MLH regulation, we are allowed to develop and continue on the project idea we had previously. When we first came up with this project idea, we were not able to publish our application from Voiceflow nor connect our application with Google assistance.
We had an idea of getting the ingredients using computer vision, but we had to eliminate the function since it was hard to connect the image recognition codes to the back end. Successfully adding the blacklist section for the image recognition allowed Peter Pan to filter out more odd results such as paper effectively. Now, Peter Pan is ready to recognize whatever ingredients you have in hand.
Even though we have developed from our previous idea, we have come up with a completely new codes – from front-end structure to website. We think the app shows that we have spent much time on working on the UI part and customizing the recipe recommendation algorithm as well. Peter Pan is very user friendly and customizable – it almost feels like you are having a conversation with your friend what to eat for the upcoming meal.
Peter Pan allows you to save your recipes and export how much you have saved from cooking to Google Calendar. I think we have successfully managed the economic problem we wanted to solve from the first stage of the development.
We were very efficient in working since we have divided up our works from the beginning; we knew our strengths from the start. All of our members actively expressed opinions and we were very open to learning new developing tools and ended up developing a completely free and ad-free application that helps you save your money, time, and food wastage efficiently.
What I learned
Since we had a limited amount of time to finish our project, it was significant to plan the dues for each feature realistically. I think we have done a good job of using the Google APIs that expedited our process of development.
It was our first time using Mongo DB, Google Assistance, and exporting data to Google calendar, but we have successfully added all the features we have planned and published the web application.
What's next for Peter Pan
It would be a dream for us to further polish the app and deploy it to app stores. We are very contented that we could add various functions that help customize and recommend the best recipe for a user, but it would be better if we could make Peter Pan work offline as well. If we were given more time, we would like to implement some conversational features that cheer people up during the pandemic and further expend this conversational AI into other fields.
Built With
api
css
figma
google-cloud
google-vision-api
heroku
html
javascript
python
spoonacular
voiceflow
Try it out
github.com
peterpan2020.herokuapp.com | Peter Pan | A free software web conversational AI application that recommends dishes based on the ingredients you have | ['Hyunjoe Yoo', 'Sanghoo Oh', 'Sang min Lee', 'Yona Kim'] | ['Best use of MongoDB Atlas'] | ['api', 'css', 'figma', 'google-cloud', 'google-vision-api', 'heroku', 'html', 'javascript', 'python', 'spoonacular', 'voiceflow'] | 9 |
10,058 | https://devpost.com/software/zephyr_mhl |
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if (msg.type === 'video') {
// force a resize of the carousel
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}, 2500
)
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if (d.getElementById(id)) return;
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Inspiration
Our thirst to create something different using technology which can be put to use by a lot of sectors
What it does
It collects real-time vehicle density information and dynamically changes traffic signals for smooth hassle-free vehicle transition
How I built it
Using Image Processing and Java GUI
Challenges I ran into
Transmitting the collected data from the python interface to Java GUI and implementing the graphics with proper time difference
Accomplishments that I'm proud of
Being able to create a functioning system from scratch within the given time and putting incomparable efforts to this project
What I learned
I learnt a lot of things about image processing, tensorflow and YOLOv3, and these will definitely be a great help in my upcoming career paths
What's next for Zephyr_MHL
We'll try to include more implementations into this project and make it a completely ideal solution for a lot of real world problems
Built With
java
tensorflow
yolov3 | Zephyr_MLH | A little beyond tech, a little behind fantasy | ['Dhanraj Chowdhury', 'Satish Ranjan Das'] | [] | ['java', 'tensorflow', 'yolov3'] | 10 |
10,058 | https://devpost.com/software/florafy | Home screen with the Florafy app!
Pachira aquatica AKA a money tree!
A dandelion from my backyard!
Inspiration
I was very excited about the outdoor theme for BackyardHacks, as I've worked in agriculture for many of my summer jobs. I wanted to create a feeling of wonder and curiosity about exploring the world around us.
What it does
Florafy uses your phone's camera to classify various plants.
How I built it
So, my dataset and model are both stored in Google Cloud. I trained my dataset using Firebase's AutoML, as well as used their image analyzer in my code. The app itself is written in Kotlin, with the front-end in XML, using Android Studio as the IDE.
Challenges I ran into
The biggest challenge was finding data to train. I combined a couple datasets from Kaggle with some labels I made myself.
Accomplishments that I'm proud of
This is actually my first time venturing into the world of machine learning and computer vision, though it's something I've always been interested in! So I'm proud that I was able to create this app with many new concepts in only 48 hours!
What I learned
I learned a ton about machine learning and computer vision, and I'm looking forward to exploring these tools more in the future!
What's next for Florafy
For Florafy, the biggest task is training a new model with a bigger dataset so it can recognize almost any plant!
Built With
android-studio
computer-vision
firebase
google-cloud
kotlin
machine-learning
xml
Try it out
github.com | Florafy | A machine learning app for classifying plants using your phone's camera! | ['Emilie Robichaud'] | [] | ['android-studio', 'computer-vision', 'firebase', 'google-cloud', 'kotlin', 'machine-learning', 'xml'] | 11 |
10,058 | https://devpost.com/software/covid-19-detector | Inspiration
In light of the ever-evolving Covid-19 situation.
One day I was reading the news that CoronaVirus is spreading very quickly and highly developed countries like the USA and Italy are not capable of handling this virus. Most striking news was earlier it takes up to 2 days for just testing whether the patient is COVID positive or not. Then after some advancements also, it is taking some hours to test. So, I thought there should be the minimum time to test this virus so that actions can be taken as soon as possible because of its highly contagious nature.
What it does
This project is my contribution to helping to analyze the probability of a person having the infection. Technologies that were made to convert information so that it can be accessible to computers are used to aid people and I can contribute to a social cause.
COVID 19 Detector is a Web Application Prototype Developed by ME and built for Doctors to find out whom to test for the infection first under a limited testing capacity by finding out the probability of a person having the infection. It takes the symptoms of the patient and within seconds it will try to predict the probability whether the patient may be positive for coronavirus or not.
How I built it
This Web App is a dashboard developed in Flask (Python), HTML, Bootstrap/CSS and using Machine Learning. World map is created using Mapbox-Map-GL. Currently, I'm using pythonanywhere.com 's server for the deployment of this web app.
Challenges I ran into
Accuracy was the greatest challenge because symptoms of a pneumonic patient and a person having COVID can be similar. After all, pneumonia can be a symptom of COVID-19. So, to classify COVID cases from pneumonic cases separate was a big challenge in itself.
Accomplishments that I'm proud of
What makes my model different from other detectors out there is I didn't use transfer learning for training my model.
This model uses a technique called Logistic regression. By training the Database and import the machine learning model into an HTML file with the Flask (web framework).Data to be randomly generated for this Prototype. I tested my model the data and achieved 81% accuracy on training set and 80% accuracy on the test set.
What I learned
During developing this system, I learned how new technologies like AI and ML can be helpful in any field like healthcare. Understand the important effect that technology has on the medical facility today.
What's next for COVID-19-Detector
For future work
This model allows better priority to certain people who are affected by the virus.
Right now I have designed the project for One Disease but it can be designed for more number of diseases.
It acts as a life-saving device.
-All the tools and technologies used for developing COVID-19 detector are free hence the cost of production and development is close to NULL.
All COVID-19 detector required is an internet connection which makes it affordable for everyone.
Also, I am doing more research on how to make this system even more accurate so that govt. and hospitals can make use of this system at a higher scale and people can be benefited from this.
GitHub Repository
MY_Repo
Built With
bootstrap
flask
html5
mapbox
numpy
pandas
python
sklearn
Try it out
ayushman17.pythonanywhere.com | COVID-19-Detector | A Web Application Prototype built for Doctors to find out whom to test for the infection first under a limited testing capacity by finding out the probability of a person having the infection. | ['Ayushman Singh Chauhan'] | [] | ['bootstrap', 'flask', 'html5', 'mapbox', 'numpy', 'pandas', 'python', 'sklearn'] | 12 |
10,058 | https://devpost.com/software/wildeye | The WildEye app launch screen.
A sample scavenger hunt list for Maryland.
Inspiration
I was inspired to create an app that would motivate people to engage with nature! An interactive scavenger hunt is a fun way to do that, and it also provides an easy way to learn about your local wildlife. I decided to code it in an app because you can take it with you on the go. I wanted to try out mobile development, too!
What it does
WildEye is an interactive scavenger hunt app that creates a list of items for you to find outside based on your location. When you first open the app, you allow it to access your location, and then it generates a list of wild plants that are native to your area. The app chooses a few of them to list in your personalized scavenger hunt. You can check off items on the list as you find them on hikes—or maybe even your own backyard!
How I built it
I coded the iPhone app in Swift using XCode; it consists of a navigation view and a table view, which holds the scavenger hunt list items. The program mainly handles taps on list items to mark them as “found” with a checkmark. I was also able to implement local persistence in Swift, so if you close the app and reopen it, the app remembers which items are checked off already.
I also used Python to call an API for the USDA PLANTS Database and scrape about 2000 plants native to the US. I cleaned the data by removing listings that had missing information (or weren’t linked to a photo) and reformatted the locations to be organized solely by state, also in Python. I wrote a function in Swift to read the JSON data from the file, but unfortunately wasn’t able to get it running by the deadline (the list pictured has sample data taken from the Database for Maryland, my home state).
Challenges I ran into
Challenges I ran into
Unfortunately, I ran out of time! Although I did successfully generate a huge JSON file of data to go into the app, I wasn’t able to read it in using Swift before the deadline. That’s why I only have a sample scavenger hunt from Maryland available currently.
I had never tried mobile development before, and had never worked with XCode or Swift before this hackathon, so it took me a long time to accomplish my initial tasks.
Accomplishments that I'm proud of
Everything about this app! I am so proud that I finally dipped into mobile development and tried learning a little Swift for this hackathon. I was unsure about picking an area I had no experience in, but it was a great opportunity to learn.
What I learned
I learned a ton about Swift and storyboards in XCode, as well as mobile development in general. I also brushed up on API calls and working with JSON in Python along the way!
What's next for WildEye
There are so many awesome ways WildEye could be expanded in the future! Of course, the first task is to get the data transfer completely ironed out, but after that I would love to keep working. It would be great if the app could include countries outside of the US and languages other than English, for example, and Android support would also increase the number of users. I would most like to implement a “share” or “community” feature where users can post photos of the items they found and see what local wildlife in different places looks like.
Built With
json
plantsdatabaseapi
python
swift
xcode
Try it out
github.com | WildEye | An interactive scavenger hunt app that encourages users to engage with local wildlife. | ['Elizabeth Carney'] | [] | ['json', 'plantsdatabaseapi', 'python', 'swift', 'xcode'] | 13 |
10,058 | https://devpost.com/software/oculus-imperium |
This image is currently processing. Please be patient...
Full screen version of the app
Level 2
Level2
Level1
Score
Inspiration
Earlier this year, I discovered the fact that - "According to the Vision Council of America, approximately 75% of adults use some sort of vision correction. About 64% of them wear eyeglasses, and about 11% wear contact lenses, either exclusively, or with glasses". This news intrigued me. So, I starting devoting my free time researching on the effects of blue light (HEV). And since Americans are number one consumers of blue light emitting devices, I decided to develop an app that can measure user's eye sight.
What it does
Is a quiz game intended to diagnose the eye health of a user & connect them to eye specialists & provide them with posts/remedies to improve their eye health.
How I built it
## Prelude - I developed the current version of this app with the intention of conveying my idea. It is just a model prototype. I haven't focused much on front end development due to a strict schedule.
I build it using HTML and Java script. It is plain and simple intended to convey my idea.
Challenges I ran into
As said, I couldn't bring out all the features I planned to add in my app.I couldn't focus much on the front -end development which is contrary to my previous plan of making the app using React.
Accomplishments that I'm proud of
I managed to make an app in a matter of couple of days with an intention of bringing change on eye health graph of American population.
What I learned
To develop a dynamic web app, takes hours of creation and debug. Through out the process, a developer kind of compromises some of his ideas with new simple ones to avoid making the app more complex and susceptible to bugs.
What's next for How good is your Eyes?
In the near future, I will be focusing on the front-end development using React ( a face book friendly framework).The upcoming features I plan to add include:-
1) "Share" option to share the score of user.
2) Strategic game - with more exciting new series of challenging questions.
3) Recommending the user with tips and posts to improve one's eye health.
4) Connecting the user with a eye specialist for improvising one's eye sight.
Built With
html5
javascript
Try it out
oculus-imperium.web.app
nasfame.github.io | Oculus Imperium | Is a quiz game intended to diagnose the eye health of a user & connect them to eye specialists & provide them with posts/remedies to improve their eye health. | ['Hiro H'] | [] | ['html5', 'javascript'] | 14 |
10,058 | https://devpost.com/software/slug-swipe-left-for-unwanted-gmail | The code
After the code execution
Before the code execution
Inspiration
My manual labor of deleting the 1000 emails
What it does
It automates the process of deletion of these unwanted emails
How I built it
Using UiPath
Challenges I ran into
Many configurations but the beautiful skies helped me out( in the Backyard)
Accomplishments that I'm proud of
The final result
What I learned
Focusing on the task at hand
What's next for SLUG-Swipe Left for Unwanted Gmail
automate it using advanced technologies (like deleting w/o the user explicitly mentioning)
Built With
uipath
Try it out
github.com | SLUG-Swipe Left for Unwanted Gmail | Automating the deletion of unwanted emails from Gmail using UiPath | ['Keerti Keerti'] | [] | ['uipath'] | 15 |
10,058 | https://devpost.com/software/the-great-outdoors | Inspiration
My inspiration was Facebook Events and websites like makemytrip. makemytrip has these beautiful cards and provide the basic information about the hotel. Similarly I did the same with the events and their summaries.
What it does
It allows people to join specific outdoor activities. Like FB events but just for the outdoors
How I built it
I built it using HTML5, CSS and JS.
Challenges I ran into
I ran into challenges while writing scritps since it was my first time working with JS. I had great trouble transfering info from one page to another
Accomplishments that I'm proud of
I'm proud of the way I handled my challenges. Also, in the end, my website does it's intended task
What I learned
I learned to use JS for front end WebDev
What's next for The Great Outdoors
The Great Outdoors will expand to become a website that allows users to chat and create new outdoor events to go to and attend. It will allow users to add friends and request them to on trips and events. People can leave reivews for recurring events and certified "Outdoorians" can leave their tips and tricks on how to make the most out of the outdoors.
Built With
css
html
javascript
Try it out
cocakhosla.github.io | The Great Outdoors | An Event Planner for Outdoor Events. Like a Facebook Events for the Outdoors. People can create Activities and others can join them to have a great time together. Nobody wants to be alone outside. | ['Rohan Khosla'] | [] | ['css', 'html', 'javascript'] | 16 |
10,058 | https://devpost.com/software/pixers | pixers
pixers is a online image gallery that allows anyone to search and view images.
Run Locally
Before you begin, ensure you have met the following requirements:
You have to get an api key from pixabay.
Put the key in .env file.
git clone https://github.com/2kabhishek/pixers
cd pixers
yarn
yarn start
Built With
javascript
pixabay
react
tailwind-css
Try it out
github.com | pixers | Look at pixers. | ['Abhishek Keshri'] | [] | ['javascript', 'pixabay', 'react', 'tailwind-css'] | 17 |
10,058 | https://devpost.com/software/mynatur-space | our team logo
Profile Page of MyNatur Space
News Page of MyNatur Space
Events Page of MyNatur Space
Signup Page of MyNatur Space
Edit Profile Page of MyNatur Space
Login Page of MyNatur Space
Forgot Password Page of MyNatur Space
website responsive and compatible with iOS dark mode
website responsive and compatible with iOS dark mode
Error hosting custom domain on firebase
Error hosting custom domain on firebase
Inspiration
We wanted to build an app so that people can self-assess themselves on how they contribute to nature
What it does
It is a self assessment app where you can track the number of trees that you have planted, number of trees you have saved and number of trees that you have cut. It also has a news feed and events page where you can get information related to the environment and tree plantation events.
How we built it
We used
Reactjs with Ionic Framework
to build the
Front-end
of the App.
Authentication
was handled by
Firebase
. We even wrote
custom CSS
to
beautify
the App and used
Local Storage
to persist
data
(as we wanted to try that out). Note that the website is fully responsive and cross platform.
Challenges we ran into
Since this was our first hackathon, managing time and collaborating was the biggest issue. Also, we challenged ourselves and used Ionic Framework for the first time to make it a cross platform App. And very few tutorials were available so every time we were stuck, debugging was very difficult, but we did it!
We could not host our page on firebase with custom domain that we got from domain.com (mynatur.space) because firebase was unable to verify ownership of the domain.
Accomplishments that we're proud of
The MVP of the app is fully functional.
We successfully created a cross-platform app (for Android) using Capacitor and Android Studio. We could not create it for iOS since it required acceptance into the developer program.
What we learned
1) How to use Firebase authentication
2)How to use Ionic Framework
What's next for MyNatur Space
1) Using a proper database we are going to add many more features like upvotes and comments on events page.
2) We can even build a tracker (sorta like a calorie tracker) which can track the number of trees that have been used to make a particular product that you buy. Example, when you use/print 500pages it is equivalent to 1 tree.
3) We can also use Machine Learning (mostly an API from plant.id) to provide you with the scientific name and description of the plant.
Built With
android-studio
capacitor
css3
firebase
ionic
jsx
react
Try it out
mynatur-7a2a5.firebaseapp.com
mynatur-7a2a5.web.app | MyNatur Space | Save Nature, Save Yourself | ['Preet Shah', 'Utkarsh Tiwari'] | [] | ['android-studio', 'capacitor', 'css3', 'firebase', 'ionic', 'jsx', 'react'] | 18 |
10,058 | https://devpost.com/software/hobby-enigma | Landing Page
Categories Page
Task Page 1
Specific Task View
Task Page 2
Inspiration
So, the inspiration came from the ongoing
COVID19
Pandemic due to which, to be honest, Our lives have kinda stopped. In such a time, people are unable to decide what to do. I mean, I myself am confused about what to do. Now rather than doing something, many of us are wasting our time thinking about "What to do?". So, in order to make it easy for ourselves, we developed this so that you can organise your activities and manage your time well.
We can defeat the virus!
What it does?
It basically provides you with
well organised categories within which there are tasks which you add to your to-do list and kill your time by learning something
. Rest you can see in the video I guess.
How I built it
So, my teammate Ayush gave me this idea about how we can utilise this time of ours in learning something. As soon as we heard, we started our work. We designated tasks among each other and preceded. We created the Front-end and Back-End parts separately. For Front-End, we designed separate layouts for landing page, category pages and the task panels. In the Back-End part, We used the
Django Framework
. Also,
User Authentication
is one thing which we implemented for the first time.
Tools Used
* HTML
* CSS
* Django Framework
* Bootstrap
Challenges I ran into
The main challenge was integration of front-end and back-end since we divided those part among us. Rest all was fine. Thinking about the layout and all was too time consuming.
Accomplishments that I'm proud of
This is our First hackathon. So, we are proud of everything we did.
Impact on Society
During the COVID emergency this online support space will be a great aid to people,isolated at home, as they could continue to have educational support, webinars and Live, exercises and practices to keep their anxiety level low and get some fun passtime.
What I learned
The Environment, got to know new people, and the motivation may help you to find alternative solutions with new technologies.We have learned that
cooperation
is essential for a successful group project, particularly during a quarantine period, where smart working is the only way to be together.
Challanges We Faced
The biggest challenge was thinking of a solution that could help children with fewer resources. Solutions such as
Hobby Enigma
can bring the joy of learning home in so many households.
What's next for Hobby Enigma
A mobile app is on the way and also we will integrate more categories and more tabs and also, some fun and frolic is missing I guess, So, that's one thing to do.
Project Link
https://github.com/Gr8ayu/hackathon
Contributors
Ayush Kumar
Ankit Kumar Singh
Abhiroop Saha
Built With
css
django
html5
javascript
python
scss
Try it out
github.com | Hobby Enigma | Giving your hobby a new wing | ['Ankit Kumar Singh', 'Ayush Kumar', 'Victor Ojewale', 'Abhiroop Saha'] | [] | ['css', 'django', 'html5', 'javascript', 'python', 'scss'] | 19 |
10,058 | https://devpost.com/software/composty | Intro to Composting!
Easy to navigate UI
Our mascot Conrad is always cheering you on!
Informative and clean!
Inspiration
One of the best ways households can help reduce waste is by composting their wet waste instead of simply trashing it. Composting can help reduce greenhouse gas emissions by keeping landfills from filling up. Also, composting is great for farmers and gardeners because it helps reduce the need for chemical substances used in croplands. Composting is great addition to any gardener's toolkit, or simply a nice way to help the environment. While children may not have the ability to build compost heaps by themselves, they can still help out.
What it does
Composty is a kid-friendly app that children can use when they want to throw something away, but aren't sure if it is compostable or not. After opening the app and being introduced to the composting mascot, Conrad Bear, users can learn about composting, get help with what to compost and what to trash, or simply check on their new mascot friend. This encouraging environment and child-friendly UI is appealing to the target audience and will make composting fun.
How I built it
I used Android Studio with Java to build the app. The design was done with .xml and the art was drawn in GIMP.
Challenges I ran into
While I initially wanted to integrate Google Cloud Vision API as a form of compost/non-compost identification on the app into the project, I ran into some issues running that portion of the app, and it ended up getting scrapped. Hopefully this can be an addition in the future!
Accomplishments that I'm proud of
This is my first time using Android Studio, and I'm proud that I was able to create an app (that runs!) in such a small amount of time!
What I learned
I learned about:
Android Studio
Composting
.xml design
What's next for Composty
Definitely Google Cloud Vision API integration in place of a link to identify compostable items!
Built With
android-studio
gimp
java
xml
Try it out
github.com | Composty | A composting app for children to learn composting habits early and help the environment! | ['Breanna White'] | [] | ['android-studio', 'gimp', 'java', 'xml'] | 20 |
10,058 | https://devpost.com/software/treewards-k36xo4 | landing page
sale screen
add a new item
products
asking whether you want to buy seed for this plant
seeds will be listed here
Inspiration
Last year through the newspaper and media I came to learn about Greta Thunberg, and Environmental activists who started protesting about climate change. I was inspired by the impact that she bought among young minds. One saying that has resonated with me ever since I read about her was
We can't save the world by playing by the rules, because the rules have to be changed. Everything needs to change - and it has to start today
I only saw this first hand when I saw a Documentary on Climate Change on BBC Earth. This made me think about what I can do to help slow the spread of Climate Change. It occurred to me that using my coding and computer skills; I could create a gamified experience of promoting planting trees, a reward-based system. I believe that we can contribute a lot to this by teaching people how to plant trees and positive outcomes.
What it does
Treewards is a platform where we can start a new plantation(we can get seeds, plants, fertilizers, pesticides, etc) or we can sell(can generate income !) the yields/fruits/any useful product that we got after cultivating. In a nutshell, planting a simple tree can be as simple as never before. The app has several plants, seeds, and agricultural products. If you liked some flowers(you have the option to either buy, or cultivate(seeds will be shipped), or can sell the same product on the platform.
It can even assist you to plant a tree/flower
. You can provide a picture of the plant during a period of 4-5 months. And help us with various guidelines.Until it bears a fruit/flower
How I built it
The app is powered by Flutter by Google. Coded in Android Studio. The app has navigation to various sections like a reward chart, details of each plant,amount of CO2 absorbed, height each plant grows, indoor/outdoor.Plant details are loaded within the app.But planned to have a dedicated api for same with good dataset.
Challenges I ran into
It's been about 6 months that I haven't used flutter. Initially I had doubts about which framework to use. Later flutter seems to work well in this context. Designing the UI seemed challenging. A small miss alignment can alter the look and feels. It also becomes challenging when we write too much code in a single file.So had to refactor the code better
Accomplishments that I'm proud of
I have never designed such a UI before, I really like the navigation between the different plants and description on tap. Flutter made the job bit easier when compared to working with Java for app development
What I learned
I was able to learn the concepts of state management in Flutter. How to carry data across different screens.How to collaborate with the team.
What's next for Treewards
We believe Treewards has a very good future. If we can collaborate with state and central governments alongside their agricultural department. It can provide opportunities for factories and industries on promoting to plant new trees and make the earth greener.
We have to make more improvements to this like, Searching images using the camera of the smartphone in the garden using google cloud machine learning and image recognition. It can help people know the names of each plant with the images of the leaf or plant structure.
Built With
flutter
Try it out
github.com | Treewards | To make earth more greener with improved atmosphere for the sustainability of the every living beings on the planet,A gamified experience to protect mother nature | ['Abel C Dixon', 'Vishal Ravikumar', 'Violet Oh', 'Tuan Trân Minh'] | [] | ['flutter'] | 21 |
10,058 | https://devpost.com/software/mountain-guide | Homescreen
Maps troubles :)
Food entry example
Food database example - local to Sierra Nevada Mountains
Try the demo on a mobile device
Inspiration
A simple and easy to use locally relevant guide to everything you may need outdoors. In the future, the app will have a machine learning scanner that can detect flora for food and mountain tops for navigation.
What it does
It is meant to manage your camp inventory, provide food guides, safety tips, and location tracking as well as topo maps
How I built it
Prototyping in appery.io and final edits are to be made in xCode
Challenges I ran into
Coming up with the idea. It is still a work in progress.
Accomplishments that I'm proud of
I found new tools for prototyping and I worked with my stepfather for feature ideas, he is a man that actually lived in the wilderness as a teenager!
What I learned
How to use Firebase API keys and how to get started with drag n drop builders like Appery.io
What's next for Mountain Guide
To actually finish the app. Fully cleaned up images, tons of entries for each database, auto syncing data for your hikes based on planned events in Komoot or ViewRanger. Fully offline maps, and a fleshed out mapping system. right now only parts of the food database and the map work.
Built With
appery.io
firebase
maps
xcode
Try it out
uobafy.app.appery.io | Mountain Guide | Your personal guide to the wilderness | ['Connor Sanders'] | [] | ['appery.io', 'firebase', 'maps', 'xcode'] | 22 |
10,058 | https://devpost.com/software/mlh-hackathon | MLH-Hackathon
Built With
css
express.js
html
javascript
mongodb
node.js
react
Try it out
github.com | MLH-Hackathon-VirtualWalker | takes us on a virtual walk to the shown places. | ['peesa jagadeesh'] | [] | ['css', 'express.js', 'html', 'javascript', 'mongodb', 'node.js', 'react'] | 23 |
10,058 | https://devpost.com/software/predicting-wildfires-and-alerting-communities | Inspiration and Problem Context
Impact of our Solution
Flow Diagram of our Solution
Our Proposed Solution
Inspiration
Our idea originated from the bushfire crisis in Australia. Massive wildfires have burned over 15 million acres of land across Australia in the current fire season. Two dozen people have been killed. Tens of thousands have been displaced. Hundreds of millions of animals from across Australia's unique ecosystems have lost their lives. The environment has been impacted with increased CO2 levels contributing to increased air pollution and climate change. This increased air pollution has posed a risk to public health by exposing people to more toxic fumes.
What it does
Our solution consists of three parts.
1) Machine Learning Algorithm: Using our developed ML algorithm to predict wildfires based on certain parameters like Fine Fuel Moisture Code (FFMC) , Wind speed, Humidity, Duff Moisture Code (DMC) etc.
2) Web application: Embedding our algorithm into a web application making it easier for stakeholders (eg. governments who would want to monitor the situation actively) to enter input parameters of a given time in order to view accurate predictions. Alongside, makes it easier to demo and pitch the concept to key stakeholders.
3) Twilio Messaging Interface: Using the Twilio messaging interface to alert communities within 5 km radius about a possible wildfire.
Impact of our solution
1) Decreased contribution to Climate Change and Air Pollution: By being able to control wildfires, the potential negative impact to climate change is being cut. Air pollution levels are decreased.
2) Improved Public health: By decreasing air pollution levels, people inhale fewer toxic fumes.
3) Saving animal lives: Saving the lives of animals by allowing authorities to take needed action (such as rescue) at the right time.
4) Allowing people to be better-prepared: Allowing communities of people to be better prepared in terms of resources and travel
How we built it
We built the ML algorithm using Python. We built the web app using bottle and flask in Python too. The twilio messaging interface was built using twilio, javascript and node.js.
Challenges we ran into
We had to seek lots of online support to learn how to embed our ML model into a web app.
Accomplishments that we're proud of
Being able to create a web app and learning the concepts behind the code
What we learned
We learnt how to use Twilio and how to make a web app!
What's next for Predicting Wildfires and Alerting Communities
As of now, our ML algorithm is not perfect. Our RMSE score is fairly large. This could be attributed to various problems such as overfitting of data or the data itself being very noisy. Another factor could be easy human intervention in spreading forest fires, which is hard to account for in data. So, our aim would be to gather a clean dataset and optimise our ML model accordingly.
We would also love to beautify how our web app looks.
Built With
bottle
flask
javascript
machine-learning
node.js
pipeline
python
twilio
Try it out
github.com | Predicting Wildfires and Alerting Communities | Protecting communities and the Earth from wildfires using Machine Learning | ['Arushi Madan', 'Arun Venugopal', 'Aerica Singla'] | [] | ['bottle', 'flask', 'javascript', 'machine-learning', 'node.js', 'pipeline', 'python', 'twilio'] | 24 |
10,058 | https://devpost.com/software/clean-spaces | Inspiration
We decided to take on the environmental and sustainability challenge because, especially lately, it's been affecting us in ways we can and can't see. Our team's goal was to tackle something we can see and tangibly fix... trash. We were inspired by the amount of undesired litter in areas we like to hang out, pass by on our evening jogs and in our very own yards. Picking up litter is a simple action that can leave a huge impact on our community and our planet. It's the most do-able deed average people can do for our planet and sustainability, and you can see results instantly. We wanted to create an app that would allow us to not only track and report areas where there is unwanted trash, but help involve individuals of all ages, organizations and whole communities in the green activity. An application that connects, educates and brings us together!
How I built it
Danielle started off building a wireframe using figma. This helped us visualize our application and what features we were going to add. After completing that, we were thinking that Javascript would be a good place to start, but then quickly realized that web applications are far less convenient and portable than mobile apps. Virath has used reactJS before, but not react-native which is mainly used to build mobile applications. Virath started watching Youtube tutorials about react-native, and that lead us to xCode. Virath watched xCode tutorials and started off demoing react-native applications. After feeling confident, we started our 'Clean Space' application.
Challenges I ran into
We faced a lot of challenges. Setting up react-native + xCode, we came across a lot of bugs. These bugs mainly came from cross-versioning(?) of react-native. Installing 5.0, then accidentally 4.0 repetitively caused issues. Libraries like react-native-elements for icons also was an issue that caused a bug due to duplicate resource targeting at build time when running the simulator. Implementing Google's Map API was a first time for all of us, too. We ran into a lot of configuring troubles while installing it into our application. The biggest challenge that we came across was google's auto completion api. It was an important feature for users to add their report locations. It persistently wouldn't function properly, and so we left it to do other tasks. We never got to get back to it due to time, but we're definitely going to invest some time again after the Hackathon.
Accomplishments that I'm proud of
We're very proud at challenging ourselves for the last 48 hours. We found a problem in our local community that involved the environment, and formulated a solution in a form of an app. We learned so many new technologies,techniques, and completed what we wanted to (except for the google's auto completion).
What I learned
We learned that even though it seems like bugs can be a blackhole, there's always a solution and when we find it it's such a great feeling. Our main developer, Virath learned a lot about react-native, xCode, and react-redux. They are definitely strong tools and libraries that he will definitely continue implementing. Danielle, who worked mainly on UX design, some front-end aspects and developing the wireframe, developed her UX-design skills especially on figma and also participated and enjoyed learning React-Native concepts and coding.
What's next for Clean Spaces
Definitely going to back to implement the auto-completion feature in reports and contributions. Another thing we wanted to implement was a database. Then, after that, we want to try and upload it to our own devices and try it out. There's a lot that this application could expand upon like including a ranking system for the top cleaners, and we're excited to complete it for actual production use.
Built With
figma
google-places
javascript
node.js
npm
react
react-native
react-redux
redux
xcode
Try it out
github.com | Clean Spaces | A mobile app that let's users report areas of trash in their community and also see their's and other's reports on a shared map. Community groups and individuals can go and clean it up for points. | ['Siso Chea', 'Virath Chea', 'Danielle E'] | [] | ['figma', 'google-places', 'javascript', 'node.js', 'npm', 'react', 'react-native', 'react-redux', 'redux', 'xcode'] | 25 |
10,058 | https://devpost.com/software/vwalk | So, our idea was to bring outdoors to those, who can't reach them physically.
Video chat and other techniques are used in order to make it happen | VWalk | So, our idea was to bring outdoors to those, who can't reach them physically. | ['Artyom Sotnikov'] | [] | [] | 26 |
10,058 | https://devpost.com/software/sunlight-exposure-tracker-set | Main View
Info View
Menu
Log View
Inspiration
It is too easy to forget how much sunlight us humans need each day.
A big portion of our population is vulnerable to lack of sunlight exposure. Night shift workers, dev-ops, researchers are often spending a lot of time working indoors, and risking their physical & mental health.
It is recommended to get at least 30 minutes of sunlight midday.
What it does
Users can track how much time they are spending outside during daylight. This app locally tracks the users' GPS history and analyze how much time they have spent under the sun.
How I built it
Using Android Location Update API, we log each user's GPS history on their devices.
Log each user's GPS history using Android Fused Location Provider API
Define the indoor areas (home, work, classrooms, etc.)
When user's GPS coordinates transitions from indoors to outdoors or vice versa, log the event and check if the event occurred during daytime. (Sunset & sunrise time calculated by GPS coordinates + timestamp)
Group transition events by dates then aggregate the total time spent under the sun.
Display the time spent under the sun to each user, and show warnings if they are exposed to too little sunlight.
Challenges I ran into
There is no readily available data for determining indoor areas (where the sun is blocked). We tried to think of a way to distinguish indoor areas from outdoors, but ended up defining each user's indoor areas manually. Most users only visit a small set of indoor areas everyday, so we don't think the compromise is too extreme.
After we determined how to figure out indoor areas, we tried to use Google's Geofence API to detect users' behavior, but Geofence API's accuracy was too low and it could only define area larger than 100m in radius as an indoor area. Most people's homes and work places are much smaller than what Geofence API could detect, so we had to find other ways to detect whether users are indoors or outdoors.
Also, calculating sunsrise & sunset time for different timezones was a challenge.
Accomplishments that I'm proud of
In the end, each user just needs to define their most frequently visited indoor areas, then the application can handle the rest. We are proud to provide a fool-proof way of measuring sunlight exposure for everyone.
What I learned
Background services are very important for this application, and we had to explore various ways to handle background tasks within Android. We learned that Android's broadcast & intent system is helpful to simplify these asynchronous tasks.
What's next for Sunlight Exposure Tracker (SET)
Implementing an UI for defining indoor/outdoor area would improve the user experience.
Amount of sunlight is significantly affected by time of the day and weather. Both factors can be calculated and improve accuracy of the report produced by this application.
Built With
android
Try it out
github.com | Sunlight Exposure Tracker (SET) | Are you getting enough sunlight everyday? We're here to help you find out. | ['Donghyeon Kim', 'Taehyeon Kim'] | [] | ['android'] | 27 |
10,058 | https://devpost.com/software/run4welfare | Inspiration
we know that global warming is a great challenge for us because of increasing carbon emission. We have only one way to reduce global warming, that is to plant more and more trees.
What it does
The app consumes time of user in a way that user spends time on workout and would help in planting a tree. As soon as 100000 steps (total steps of all users) gets completed, we would plant a tree. More a user runs, more the trees gets planted, more the user workout.
How I built it
The app was built using a platform called Kodular through which android apps can be created without coding. I used that platform and tried to design a simple user interface. This app uses pedometer sensor component provided by default by the platform. Also connected the application with Google Firebase to monitor user activities, send motivational quotes and to show number of trees planted currently.
Challenges I ran into
The most challenging part was to connect the android app with firebase. The time it consumed to add user number to the user was the most difficult part while building this app. Whenever a new user sign in, the app automatically gives the user a number based on programming done.
Accomplishments that I'm proud of
I am proud of the programming I done while giving user a number. this took around 5-8 attempts to make it perfect. Now I am proud of what I did.
What I learned
While building the app, I learned about pedometer sensor, its programming and its working and also while making the application, it improved my concentration capacity and now I feel that I can do more in future with this app
What's next for Run4Welfare
I want to add more components such as
Alarm when the phone charges completely because overcharging makes battery life shorter and also consumes much power which will lead to high electricity bills etc.
Birthday notification so that on the birthday of the user, we could wish and would request to plant a tree by himself as a paybact to the Mother Earth
Carbon emission meter would guide a user that what kind of food give less carbon emission and also eating healthy food is beneficial for the user too
Donate button through which if someone is willing to donate some money to plant more and more trees. It would be beneficial to plant trees as soon as possible
Built With
kodular | Run4Welfare | A Step To Thank Mother Earth | ['Keshav Majithia'] | [] | ['kodular'] | 28 |
10,058 | https://devpost.com/software/outrun | Inspiration
We saw that COVID-19 is keeping us indoors and out of shape. In order to encourage ourselves to get out we made a competition: Fastest 5km run. This competition is taking place between us over the summer with the forfeit of wax stripes and dyed hair for the losers.
We thought we would take this opportunity to make a bot that would monitor the competition and encourage us to go outdoors.
What it does
It takes: 'distance for a submission to be valid' (eg 5 KM) and 'date competition started' as competition inputs. It also asks the users to grant permission to the bot to access the Strava data. This is done with '.code' command.
With this data it determines the user rankings and shows the updated leaderboards. This is done with the '.check' command.
How we built it
The task was broken down into 3 sections: communicating with Strava's API, processing the message received from Strava and setting up a bot to interact with users. Each section was developed separately then implemented upon completion. All team members helped out with each section to better develop the bot.
Challenges we ran into
First Hackathon for 2 members one of which only started Python 2 weeks ago. This lead to difficulties is agreement on design phase.
For Jed
-Difficulties in learning how to interact with an API
For India
-Difficulties in learning Python as a whole
For Dax
-Difficulties in learning Discord API
Accomplishments that I'm proud of
Found out how to set up and program discord bots which were pretty functional. Learned about file security and the .env file extension which was used successfully to hide the discord bot token. Managed to use Strava API to access user data and transfer the meaningful data from that data onto a functioning leaderboard.
What we learned
We learned how to program discord bots with various commands. Additionally, we found out how to use the .env file extension for security purposes- keeping the discord bot's token hidden from people viewing the code. We also learned how to access the Strava API, originally a website was setup to access the data from this but then we ended up just going straight from the API to a file. This data was then filtered, and sorted so that it could be presented in a leaderboard.
What's next for outRun
Develop the programme to show more statistics e.g. total distance travelled & total calories burned.
Make the bot more accessible to other servers.
Integrate Outrun onto a website to increase overall accessibility.
Implement a timer to prevent users from reaching the daily request cap for the Strava API.
Built With
discord
dotenv
operator
os
python
requests
stravaapi
urllib3
Try it out
github.com | outRun | A discord bot used to encourage people to go outside and compete in racing using Strava's API. | ['Dax Blackhorse-Hull', 'India Godfrey'] | [] | ['discord', 'dotenv', 'operator', 'os', 'python', 'requests', 'stravaapi', 'urllib3'] | 29 |
10,058 | https://devpost.com/software/where2recycle | Inspiration
Lack of Recycling Awareness in American Cities is a key Sustainability issue. The city I live in does not mandate recycling or trash separation and as a result, tons of waste daily is going to landfills which can otherwise be recycled.
What it does
The application I developed is an iOS App which takes the user's zip code and locates nearby recycling centers using the
Earth911 API
. It then opens a view where a user can upload photos of their trash items and check if each item is recyclable or not and add it to a list in-app.
The app prompts the user for each photo and alerts them of it is recyclable or NOT recyclable. This is accomplished by using the Google Cloud Vision API and a local dictionary defined within the app that classifies the item into categories.
The user can then go to a map view of nearby locations which will accept the items on their list for recycling.
How I built it
The application was built for the iOS platform using Xcode and Swift. Swift is able to handle the entire application design as well as the required API calls. The demo was conducted on an iPad Pro.
Challenges I ran into
I was a little rusty with my ImagePicker and UIIMageView skills which crunched the amount of time I had to devote to the map section of the app
Accomplishments that I'm proud of
What I learned
What's next for Where2Recycle
An Android App perhaps, and a monetary portal in-app that calculates how much money the user can make by selling their recyclable trash.
Built With
gcp
google-maps
ios
mapkit
swift
Try it out
github.com | Where2Recycle | Incentivizing Recycling by connecting people to informational, physical and monetary sources for Recycling | ['Mohit Doshi'] | [] | ['gcp', 'google-maps', 'ios', 'mapkit', 'swift'] | 30 |
10,058 | https://devpost.com/software/hikegest | Homepage of HikeGest
Individual hiking trail
Inspiration
HikeGest is the website avid hikers need. Our name is combined from "Hike" and "Suggest", which is targeted to hikers who cannot decide where their next trail will be.
What it does
It suggest hiking trails nearby the user based on online user ratings and weather conditions for the next 5 days. It returns the top 5 trails that the hiker should consider. We want to implement a recommending system which will pick which day has the best weather for the hike, but we lack the time.
How I built it
We used
this weather api
and
this hiking trail api
to get data.
We first get the user's current coordinates and pass it to the hiking trail api. It returns a list of hiking trails, and we pass each hiking trail's latitude and longitude to the weather api. After the process, we get all the weather information of each trail. We store the hiking trail and weather data in Google Firestore to enhance performance. We used React for frontend and Node.js for backend.
Challenges I ran into
We got the idea pretty quickly, but we spent some time discussing how to structure the project. One of our biggest challenges is getting everyone able to run the website locally. Since we can only communicate through the Internet, we cannot immediately look at each other's computer screen and help debug. So it takes us more time to communicate and figure out issues over Discord.
Accomplishments that I'm proud of
We are very happy that we can combine the two unrelated apis together and leverage them for our project. Utilising Firestore also improves the website's performance.
What I learned
What's next for HikeGest
Built With
express.js
firebase
react | HikeGest | Suggesting where your next hiking trails should be | ['travischantravis Chan', 'Tenzin Sonam', 'Yongjae Lee'] | [] | ['express.js', 'firebase', 'react'] | 31 |
10,058 | https://devpost.com/software/computational-chemistry-library | Inspiration
I'm inspired by the possibility to learn more about this field of computational science through experimentation.
What it does
I didn't have time to create an interface yet, but it can work as a library for modeling molecules.
How I built it
I watched part of TMP Chem's computational chemistry playlist on YouTube to learn the formulas. I didn't look at his Python code, but I closely modeled my program after his formulas.
Challenges I ran into
I had issues with finding a CSV file of the periodic table of elements that used units that I could identify, so I wrote a Python script to scrape the relevant data off of periodictable.com.
Accomplishments that I'm proud of
I made my own functions for the dot product and the cross product.
What I learned
I learned a lot about C++, which is a fairly new language to me. I had never used pointers or structs before, so I had a lot of Googling to do.
What's next for Computational Chemistry Library
My current vision is to compile the C++ code to Web Assembly and create a distributed network of web browsers around the world that could use molecular docking to model the way bio-molecules fit into each other.
Built With
beautiful-soup
c++
python
requests
Try it out
repl.it | Computational Chemistry Library | A basic C++ library for dealing with molecules. | ['Laszlo Goch'] | [] | ['beautiful-soup', 'c++', 'python', 'requests'] | 32 |
10,058 | https://devpost.com/software/glare-3hqcks | Inspiration
According to the Food and Agriculture Organization (FAO) of the United Nations, An estimated 1.3 billion tonnes of food is wasted globally each year, one-third of all food produced for human consumption. Due to pandemic conservation of basic resources like food has become mantatory, rather than throwing away food how can it be utilized? According to the latest estimates, 9.2 percent of the world population (or slightly more than 700 million people) were exposed to severe levels of food insecurity in 2018, implying reductions in the quantity of food consumed to the extent that they have possibly experienced hunger. So much food is wasted in events like marriages and parties which are thrown, hence wasted. What can be done to reduce this? Due to food wastage---
Environmental Issue
Morally Unacceptable – Fighting Hunger
Waste of Labour, Time, and Natural Resources
What it does
GLARE is an Android/IOS application that helps people locate all the nearest NGOs and other social service organizations which actively collect food, to feed the people in need. Integrated with Google Maps, then the person can send in a food pick-up request, and the food can be collected by the people from the organization rather than throwing away additional food, it can hence be used to feed the needy.
How I built it
It is integrated with Google maps which help find all the organizations in the locality and Firebase system manages the authentication, storage of the information so that people can register using email-id and other details
Challenges I ran into
Integrating Maps with the app, real-time two-end response system. As I had to run the app on the phone to record the video is a bit blurry.
Accomplishments that I'm proud of
Looking at what is happening in the world today, I realized that sustainability is one of the most important things. Hence I am proud of building something that helps the society and also in many ways helps in healing the planet.
What I learned
Technically, cloud-based application building. Most importantly I learned about what the outside world today is, realized the importance of apps like GLARE as they help save the planet and more importantly lay the path for humanity to stand strong.
What's next for GLARE
In-order to be of use, apps like GLARE, awareness among individuals play a huge role. Hence the first step would be making a few changes in the app, publish it, make a web version as well. Then start creating awareness among people about the pros of It, as due to the current Pandemic, with thousands out there without proper food, Glare could make a difference.
Built With
android-studio
firebase
java
Try it out
github.com | GLARE | App that helps reduce food wastage and feed the needy | [] | [] | ['android-studio', 'firebase', 'java'] | 33 |
10,058 | https://devpost.com/software/scavenger-scouts | Nifty nature badges await as a reward for fun findings!
Inspiration
We were inspired by the birds, trees, and the kinds of critters that you don't normally see. We wanted to inspire people to go and discover a world just outside their front door, while also having some fun rewards at the end.
What it does
Scavenger Scouts invites individuals to create an account, and then complete for the various tasks we have designed for them. After completing a task, a user is rewarded with a personally designed badge!
How we built it
We utilized the MERN stack of technologies in order to create our web application. MongoDB Atlas hosts our database, and localized versions of Express.js, React, and Node.js enable us to develop the server and front-end portions.
Challenges I ran into
Allison
One of the main challenges I faced was learning how to work with the MERN stack. I originally attempted the MEAN stack, but then found an awesome tutorial from freeCodeCamp that helped me pick things up. I also attempted to tackle the user profiles, and ran into difficulties with authentication and working in a system that didn't plan for the utilization of Redux.
James
I spent many of the first hours after deciding on our tech stack familiarizing myself with the different tools that make up MERN. Beside React, they were all totally new to me and I had to spend time to understand them conceptually, not to mention be able to develop with them. Designing a system to interface with the UI to allow the user to both save their badge-collecting progress and reload it was the most significant technical challenge I confronted.
Accomplishments that I'm proud of
Allison
I'm proud of the fact that I was able to use a cloud database and connect it to a web application. I'm pleased with the badges I designed, as well as being able to create a system that can recognize registered users.
James
Despite the learning curve, I'm happy we've made a functioning program that accomplished its core goal using a tech stack neither of us were familiar with. Doing all that - alongside developing some lovely sprites for the badges - is something I'm quite proud of.
What I learned
Allison
I learned about the MEAN/MERN stack for the first time this weekend. I gained more knowledge on each of the systems in the MEAN stack, as well as how to work with a hosted database system.
James
This was also my first time learning the MERN stack, as well as my first time being heavily involved in developing both the front-end and back-end systems in a single application.
What's next for Scavenger Scouts
Besides refining the UI and creating a more interesting and intuitive site design, the biggest feature that would come next is to develop and expand on the user profile systems. A reach goal of this project was to allow users to take photographs to document their discoveries and allow them to save these pictures and share them with other users.
Built With
express.js
material-ui
mongodb
node.js
react
Try it out
github.com | Scavenger Scouts | Go outside to enjoy nature and be rewarded for your efforts! | ['James Lynott', 'Allison Broski'] | [] | ['express.js', 'material-ui', 'mongodb', 'node.js', 'react'] | 34 |
10,058 | https://devpost.com/software/covid-tracker-frjgi5 | Inspiration
During this pandemic, most people are quarantining at home trying to stay safe. But what about the people that don't have a home? During this time many police forces are removing homeless camps across cities, with many having now where to go and the government sometimes does not provide or expand it's alternative housing spaces. At the same time, hotel and housing properties listed on airbnb and other media are sitting without any occupancy as travel has become extremely limited. We felt that these rooms/homes with no one using them can be put to better use to help out the community and also possibly have a hand in helping flatten the curve. Another problem in this ongoing situation is that tons of farmers are forced to throw away their products as there has been less buying.
What it does
Homely.space is a web app designed to be easily accessible by everyone and provide all the facilities needed for the user to fulfill their purpose. There are two different people that would use the application. One is someone who wants to list their property on the database for homeless people to use. Another is someone who is seeking a temporary place to stay. People who want to enlist their housing can do so by signing up and providing the home address which will then be added to our database. The person who is seeking a home can also sign up and click the "locate me" button which will get their address and find the nearest available home for them. Once a home has been found, the two people will be put in contact with each other via phone or email. Another feature that is available in the application is a Request Food option. As farmers are throwing away they produces, we though that we can save some of this waste and connect a consumer straight to a farmer. In this part, a person can sign up as a volunteer that helps get food from a farm to a purchaser, which would help reduce good products going to waste. There are other small features such as a chat bot in which one can diagnose themselves and also get the latest updated data for covid.
How we built it
We built the application using JavaScript web framework, Express.js which is a part of Node.js. Simple endpoints were created to the login and registration, and a database was created that hold a users information. The database also stores the address for housing that people are offering to the people in need. When a house provider login in, he/she is asked to add the address of the house they want to give temporarily, which is then sent to the data base. When a shelter seeker uses the app, he/she enters their first and last name and click a button which allows for us to get the lat and long coordinates of their current location. Through an algorithm,using googles geolocation api and google distance matrix api, we find the house closest to their current location and provide them with the owners contact info. This logic is also used for when requesting food. The farmers would register their address, and the purchaser would enter their address. The purchaser then is connected to a volunteer that would be able to get the fruits and vegetables from the farmer to the buyer.
Challenges we ran into
We initially struggles to create a layout of the whole application, but were able to figure that out with some rough drawings. Another challenge was that the team members are all from different time zones, so communication with very difficult. Another challenge we ran into was understand database and getting it to work how we wanted it to. Since this was the first time some of us used firebase and google apis, we had to read documentations to understand everything about the two.
Accomplishments that we're proud of
There are a couple of things that we are proud of. One of them is that eventually we were all able to work together and understand what everyone was doing despite the time difference. We are also proud of the fact that throughout the project we were able to learn to use new features such as apis and databases that we did not know before the hackathon started. One important accomplishment is that we were able to overcome a huge time constraint and come up with a prototype of an idea that has potential to change people's lives.
What we learned
We learned how to set-up and use Google's geolocation and distance matrix apis, create a database and extract from it and using a new framework to built the website on.
What's next for Homly.space
The next steps for Homly.space is to create additional features such as having a donation tab where, people who are seeking shelter can donate whatever they feel like to the host (as anything helps). Another feature that can be added is that instead of having a web-page we could make some sort of chat bot that people can use to find nearly housing and also add housing. In addition, we can also have some sort of rating function, where the host can rate the people who stayed at their listing so future hosts can know how the people are treating their properties.
Built With
firebase
gcp
google-maps
html5
node.js
php
Try it out
github.com | Homly.space | Temporary Housing For The People, By The People - A application that connects people in need of shelter with people who want to provide | ['Rishabh Jain', 'Shreyas Sanghvi', 'Mitali Mittal', 'Kritarth Shah'] | [] | ['firebase', 'gcp', 'google-maps', 'html5', 'node.js', 'php'] | 35 |
10,058 | https://devpost.com/software/cyclops-btwvid | Inspiration
Stuck at home all day, I miss the outdoors, mostly I miss cycling.
What if I could cycle indoors? Sounds crazy!
This is how the idea of cyclOPs was born. A virtual reality nature trail, built with backyard shed items.
What is cyclOPs
virtual reality nature trail
enjoy the ambient nature music/podcast
quiz option that quizzes you on the birds and plants you see on the way [ educating yourself on nature ]
reward points system based on the kilometres cycled.
What's next for cyclOPs
get sponsors/ collaborate with sustainable NGOs so that the reward points gained could translate towards planting trees, reducing the carbon footprint [ for example, an initiative like
https://www.ishaoutreach.org/en/cauvery-calling
]
Adding multiple trek options
Adding different podcasts | cyclOPs | Imagine if you could go in a nature trail from your bedroom! | ['Ananya G', 'Krishna Prasad Bhat'] | [] | [] | 36 |
10,058 | https://devpost.com/software/safe-camp | Icon
Summer theme
Spring theme
Winter theme
Fall theme
QR code for APK v2.0
Safe Camp
DontLickThatPoison.space
An environment and user-friendly React Native app made with ❤️
View the demo of our Project
View the demo of Backend work
Table of Contents
About our Project
Inspiration
What it does
Getting Started
Prerequisites
Installation
How we built it
Data Exploration
Model Training
React Native Application
Model Serving
Roadmap
Challenges we faced
Accomplishments we're proud of
Future updates
Team Members
Acknowledgements
Inspiration
The Safe Camp app is a project made for the
Backyard Hacks hackathon
organized by
MLH Summer League
While in a camp or our backyard, we can come across lots of mysterious plants and animals. But we are not sure who is poisonous or safe for our interaction with them. So we decided to make an app that can detect for
poisonivy
and
snakes
by uploading photos to the app.
Camp Safe not Snake!
What it does
The Safe Camp app provides lots of features to its users. It can detect for
poison ivy and snakes
using photos you upload in the app. What it does is, scans the photo and uses machine learning for the detection. To know more about the backend you can skip to
How we built it part
. Our app can show the
day, weather, temperature, UV index
and
air quality of your location
(needs access to your location settings on your phone).
Prerequisites
Expo app on mobile from Play Store or App Store
*Expo Client supports running any project that doesn't have custom native modules added.
Download the "Expo Client" app from the Play Store or App Store.
Start your project with Expo
Install the CLI
npm i -g expo-cli
Start the project
expo start
Open the project:
Sign in to expo and the project will appear in the app.
Or point your phone's camera at the QR code in the terminal
React Native setup on your system
Visit here
JDK v7 or newer
NodeJS
Android Studio
Installation of the app
Download the v2.0
Click me!
Or scan the QR code provided in the image folder.
How we built it
Data Exploration
Model Training
React Native Application
Model Serving
Challenges we faced
Together we can face any challenges as deep as the ocean and as high as the sky. - Sonia Gandhi
We came across a numerous amount of challenges throughout this weekend for this project. Firstly, the basic setup of dependencies and the environment for React Native took us a while. After that we faced an issue regarding the configuring of a phone camera for our app, causing us to create the React Native application over again as some dependencies were corrupt. Furthermore, there was a problem with hitting an endpoint to post an image. The version of the react-native we were using didn't support what we were trying to do. We also faced tons of problems in our backend and setups.
But in the end, our perseverance and hard work as a team made this app a success. Here are a few achievements we are proud of while fixing challenging issues.
Accomplishments we're proud of
First of all, this whole journey of attending the backyard hacks hackathon, the various workshops as well as interacting with so cool coders and mentors, was an accomplishment in itself.
We are proud of our consistent support to each other in the team as well as helping each other in their field of works.
Our biggest accomplishment was to make the React Native app to get to work. It was our first React Native project after all. We were able to successfully hit multiple endpoints getting weather date at the user's location.
We are proud to be able to make a user-friendly app that anyone can use to have safe camping.
Future updates
Camera capture
More poisonous organisms detection
Team Members
Bravish Ghosh
Adrian
Muntaser
Download here
Download the current version
Built With
react-native
Try it out
github.com
i.diawi.com | Safe Camp | Camp Safe not Snake! This application uses machine learning to detect poisonous ivy or snakes! Shhh- Just snap a picture or upload from your gallery. Now you can enjoy camping safely | ['Adrian Pilkington', 'Muntaser Syed'] | [] | ['react-native'] | 37 |
10,058 | https://devpost.com/software/birdwatch-rsowq8 | on the web!
zoom in!
on the phone!
Inspiration
The world has lots of wanna-be bird watchers and nature experts, including us, that understand how daunting it can be to actually gain familiarity with your local ecosystem. This app aims to
fix that. Simply locate yourself on the map (whether you're at home or traveling) and you'll be presented with a list of birds seen recently in the area, including pictures, where they've been
seen last, and a short description. Get directed to local hotspots where you have the best chance of seeing some birds. Follow the link to wikipedia to read more details, hear bird song, etc!
What it does
You can drag around the google map to pinpoint a location and obtain a list of the most common bird species seen at that location + facts/pictures of these animals.
How we built it
We made a webapp using react + redux. We also used the Google maps API to generate a map and the ebird api to access bird species information.
Challenges we ran into
working, coordinating and being motivated under remote conditions
not all team members were familiar with underlying technology like redux.
Accomplishments that we're proud of
We like the front-end design!
It's pretty bug free - It has one job and it does it well!
What we learned
Google maps API in javascript should probably just be used in javascript and not react
redux is useful! it was pivotal in separating presentation logic from request/API logic, sharing state between the map and the results, and caching results for instant loading.
What's next for birdwatch
Show bird hotspots near you on the map! This feature will be part of the EBirds API we're using.
Make a game out of it - you can collect points by taking pics/recording birds, have it verified, and contribute your observations!
Incorporate bird song audio clips directly on the site!
Expand to plants and animals! More facts for each to help you identify and understand them. Learn about your entire ecosystem.
Built With
css
html
javascript
Try it out
github.com
bird-watch.surge.sh | birdwatch | Birds are very important! Find some around you, then spot them in the wild! | ['Aditi Hebbar', 'Garrison McMullen'] | [] | ['css', 'html', 'javascript'] | 38 |
10,058 | https://devpost.com/software/trash-to-treasure | Inspiration behind Trash to Treasure
Have you ever thought to earn money through waste?
Yes, you read it right. You can earn money through waste. But before that read our story!
Daily, an enormous amount of waste is generated from a household and into a region!! Yet, there are very few solutions to such problems. Many solutions include just recycling the good from the waste and burning the rest. Many people don't even choose to recycle and thus these products end up in landfills. Thus, all this leads to pollution of different kinds like air, water, etc. Many people are affected due to heavy amounts of waste generated every day.
Therefore, our solution tries to solve these problems through digital means and hence the name
TRASH TO TREASURE
.
REFERENCE
Idea
Trash to Treasure uses geocaching to help users in recycling waste! Using Google Maps on the user's device, they can find recycling spots and recycle their products/waste. By going to the specified spots and recycling, users can earn points. Once enough points have been earned they can then redeem their points into something useful!
Building
Quasar, a Vue framework + Vuex for the frontend
Express, Passport for node backend
MongoDB Atlas
Challenges | Accomplishments
All of us were new to Google Maps (particularly with a Vue App) and the documentation was not straightforward at all. It took a significant time to get the map to work and the distance calculation to show up properly (the spherical library was a whole different story to include in the app).
Once it seemed like things were on track, Vuex decided to randomly give up on us. It took 4 hours to try and find a reason behind the 1768 errors that started showing up out of the blue after hours of everything working smoothly. That was 4 hours spent on nothing because the entire thing started working magically when we switched browsers. :3
As time went on and we continued trodding with the UI, yet another issue came up. We had set up Atlas with MongoClient because it seemed straightforward on node. Turns out, it's next to impossible to get that interface to work with passport for a custom strategy. 5 hours before the deadline, we started changing the whole backend + DB interface to Mongoose. And none of these are things we had ever worked on. This was my first time with Mongo.
60 tabs and 3 hours later, mongoose seemed to work - but only on Postman. Some endpoints kept failing at random instances. An hour before the deadline, we decided to chuck the mongoose way and revert to MongoClient (thank the universe for stuff like git). We finally made the decision to not pursue authentication and finished the last bit of hooking the frontend to the backend api for talking to the DB and made the video.
This was by far the most hectic project I have taken up on but looking back, I realise the amount of stuff I have learned kind of makes up for the sleep deprivation and the rush. xD
Components
NodeJS, ExpressJS, and MongoDB
What's Next
Looking into sponsors/organizations which in turn will have more users recycling.
Expanding the current features i.e. allowing users to request a recycling location near them.
Built With
domain.com
express.js
mongodb
node.js
vue
Try it out
trash-to-treasure-278.uk.r.appspot.com
github.com
trashtotreasure.space | Trash to Treasure | it pays to recycle | ['Ananya Dirghangi', 'Deepraj Pandey', 'Hannah Wlasowicz'] | [] | ['domain.com', 'express.js', 'mongodb', 'node.js', 'vue'] | 39 |
10,058 | https://devpost.com/software/weather-info | Main Screen
Inspiration
To build an Web app to enjoy outdoors at particular time.
What it does
It displays the time at which you can enjoy outdoors with out affecting you.You can search your city name and displays if the current time is ok to go out and also recommended timings.
How I built it
I built it with node.js and dark sky api for data
Challenges I ran into
I have just started nodes and everything I done was challenging.
Accomplishments that I'm proud of
I was able to complete the majority of application within 24 hours.
What I learned
I have learnt to develop an web app with node.js.
What's next for Weather Info
This application can be further extended by integrating with google maps to display the nearest nature spots for people to enjoy.
Built With
css3
html5
node.js
Try it out
cryptic-citadel-37719.herokuapp.com
weatherinfo.tech
github.com | Weather Info | This is a web app that displays the recommended timings to enjoy the nature outside | ['Lalith Punepalle'] | [] | ['css3', 'html5', 'node.js'] | 40 |
10,058 | https://devpost.com/software/wildwalks-tech | Inspiration
This was our first Hackathon, web design and cloud computing were new for all of us so we decided to build something in that vein. From the theme of connecting and exploring the outdoors and the personal experiences of daily walks during lockdown we decided to build a website which would help suggest or find local walks in nature.
What it does
Our site takes your location or an inputted location, searches a stored list of walks and returns the nearest walk to the location displayed on a map.
How I built it
First we got started with flask and built a simple website that could display a map.
We then found a site which contained walks through British nature in the form of XML files. These contained coordinates which described the route, we built a web scraper to download each file on the site and extract the coordinates. GeoJson was then used to plot a route of lines between each set of coordinates.
We also worked on getting the site hosted onto Google Cloud, as well as aquiring a domain name and getting that domain to point to the domain given by Google Cloud.
Later we added functionality onto the site with functionality to input a custom location.
Challenges I ran into
Our initial idea was to look at the local area and suggest a walk using Google directions API. After working on this for a while we had trouble finding a suitable route as the directions API makes a route from A to B, and we would have needed to find a way to make a route resembling a polygon A to B to C to A which at minimum needed to be a triangle. This proved difficult in the time frame we had as well as difficulty identifying using Google places which locations were the green spaces that we desired. Our solution was finding a website containing numerous walks and instead recommending and displaying the closest one.
Accomplishments that I'm proud of
I believe the whole team did something new while completing the project and we're happy to have a functioning website that can be visited and perform a task.
What I learned
We learned about the process of deploying a website from local development to Google cloud and domain names. Learnt how to use Google cloud and Google maps APIs.
What's next for WildWalks.tech
Potential future improvements would be to suggest new routes and add more customisation to routes eg. length or landmarks.
Built With
flask
google-cloud
python
Try it out
wildwalks.tech
github.com | WildWalks.tech | A website which recommends a local walk, or finds a walk local to a chosen location. | ['Ollie Day', 'Tim Longley', 'Gustav Moller'] | [] | ['flask', 'google-cloud', 'python'] | 41 |
10,058 | 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'] | 42 |
10,058 | https://devpost.com/software/co2-near-me | CO
2
Near Me
CO
2
Map and API
Overview
CO
2
Near Me
is a web application that has a map with an accompanying API that utilizes collected CO
2
data from devices all over the world. Embedded Devices can send data to the provided endpoint, and the map will display the location alongside the CO
2
value. As the the application is built out, the API will be able to take in longitude and latitude values and give back specific values for the area.
Website
https://co2nearme.herokuapp.com/
Terms
eCO
2
(equivalent calculated carbon-dioxide): concentration within a range of 400 to 8192 parts per million (ppm)
To Do
Create different icons for bad and good CO2 values
Switch from saving / loading dictionary to database
Take lon and lat input from GET and return nearby values
Introduce ML
Resources
Flask and Leaflet
Adafruit CCS811 Air Quality Sensor Breakout - VOC and eCO2
Built With
api
flask
heroku
html
https
python
raspberry-pi
Try it out
github.com | CO2 Near Me | A Crowd Sourcing Effort to visualize and create an API for CO2 recordings associated with longitude and latitude coordinates collected from embedded devices around the world. | ['Kevin Webb'] | [] | ['api', 'flask', 'heroku', 'html', 'https', 'python', 'raspberry-pi'] | 43 |
10,058 | https://devpost.com/software/recyclethis | Result
Analyze
Recycle That
Recycle efficiently using ML
Today the biggest problem faced by mankind is Waste and its disposal. Now most of us are not able recycle any of our waste beacuse we simply dont know how to dispose a particular item in a useful and feasable way, so I have made an app to detect wether an item is recyclable , can be made into compost or can be diposed in a Lanfill, This app uses Machine Learning to detect the type of item, lets see how it works:
The Inspiration
I was inspired to make this app because I saw piles of trash lying around cities in every corner of the world. According to an estimate, Globally the estimated quantity of municipal
waste generation
is over 1.3 billion tonnes per year and is tend to increase each year. So we need a solution to this. And computers are now so-so powerful so i thought why not use the power of computers and Machine Learning to solve this problem, lets see how i did this:
The App
So this app is basically a Waste identification app and uses Tensorflow for the ML side. You haave to just open the app and point the camera towards the item to scan and click analyze, then it will identify what type of item it is and wethet it should be recycled, composted or landfilled.
Technical Part
Technologies use:
This app is mainly programmed in
Javascript
as I am used to this language. I have used
Tensorflow
for the ML side. This is my first ML project and i am still learning.
Other tech used:
HTML
CSS
Libraries used:
Bootstrap
# Building Process
The build was easier than I thought and it took me almost 5-6 hours to complete all of this. I used VSCode as my primary editor.
Problem Encountered
There were not many problems that I encountered but the finding images of waste to train the model was the hardest part.
What I learnt?
This was my first ML project so i learnt a lot about Machine Learning and AI.
Built With
html
javascript
learning
machine
ml
tensorflow
Try it out
github.com
recyclethis.netlify.app | RecycleThis | Using Machine Learning to recycle efficiently. | ['Saksham Saxena'] | [] | ['html', 'javascript', 'learning', 'machine', 'ml', 'tensorflow'] | 44 |
10,058 | https://devpost.com/software/garbage-collector-robot |
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FB.init({
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xfbml : true,
version : 'v3.3'
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// 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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}(document, 'script', 'facebook-jssdk'));
In
The star
Nice
People are busy are busy in their professional life and forget to pay attention to their surrounding problems pertaining cleanliness of the environment #let's prevent pollution to the environmenthave design it to collecte garbage of certain kind and color and also color as we gradually advance the project to fit in the current tech.
I used hardware eg Arduino sensors and android app
My main challenge is finance
Am happy the robot behave as expected.
Through hardwork and perseverance leads to great output.
I will add computer vision that is Ai part for it to lead and pick on its own.
Built With
c++language
clanguage
hardware
iot
Try it out
twitter.com | Garbage collector robot. | Let's make our environment clean using robots. | ['limo patrick'] | [] | ['c++language', 'clanguage', 'hardware', 'iot'] | 45 |
10,058 | https://devpost.com/software/scavenge | Inspiration
With interpersonal contact at a minimum due to the ongoing pandemic, I wanted to come up with a way to get outside and engage with your local environment, without needing to break social distancing guidelines.
What it does
Using your zip code, it checks the
National Wildlife Federation
's website to find
plants local to your area
, then builds a scavenger hunt from that list (includes pictures).
How I built it
I parsed responses from the
National Wildlife Federation
's website, after sending them requests with custom cookies, to avoid having to enter the zip code manually. Then, I built a scavenger hunt object with the parsed information for easier usage, and used that as the backend for a (fairly basic) app that allows the user to actually perform the scavenger hunt.
Challenges I ran into
I've never built a mobile application before (and only one GUI altogether), so that was really tough to figure out. I spent the vast majority of my time trying to make the GUI and backend play nicely together.
Accomplishments that I'm proud of
The app is fairly complete, and I intend to list in on mobile appstores, so my friends (and maybe others) can play around with it.
What I learned
I learned how to build a complete, cross-platform mobile application. I've also confirmed my preference for backend coding over frontend stuff.
What's next for Scavenge!
As I said earlier, I do plan to list it on the Google Play Store and iOS App Store.
Built With
kivy
python
requests
Try it out
github.com
scavenge.space | Scavenge! | a mobile scavenger hunt app for plants local to your area | ['Max Perrello'] | [] | ['kivy', 'python', 'requests'] | 46 |
10,058 | https://devpost.com/software/peek-j5gv7s | Inspiration
When quarantine is over people will like to visit only the least crowded places. Peek was inspired to enable people to avoid crowded places by checking out their destinations before heading out.
What it does
Peek allows individuals to enter their intended destinations into a google maps query and get a prediction of how crowded it is expected to be at that time of the day.
How I built it
Peek is powered by a flask server that connects the JavaScript in the HTML script to the python backend.
Firstly, a user enters a location from the user and its place id is retrieved from google places API. The ID is then sent to the python backend via a POST request using jQuery which returns a prediction of how crowded the place is expected to be.
Due to the scarcity/unavailability of real-time data, I had to rely on data from the
populartimes
API on GitHub.
populartimes
provided a reliable source of popular times of millions of places which was unavailable via google maps API.
Based on the popular times of a particular location, one of 4 possible predictions is made:
highly crowded - current number of people >= 70% of range*
slightly crowded - 30% of range* < current number of people < 70% of range*
not crowded - current number of people <= 30 % of range*
probably crowded - no popular times data available.
**range => range between the least crowded hour and the most crowded hour
The prediction is then passed on to the frontend and displayed via a callback function.
Challenges I ran into
It was my first time using google maps API so I kinda had a slow start.
Accomplishments that I'm proud of
Learned new skills
What I learned
jQuery
Google Maps API
Javascript asynchronous functions
What's next for Peek
Increase prediction accuracy
Improve UI/UX
Built With
css3
flask
google-cloud
google-maps
html5
javascript
jquery
populartimes-library
Try it out
github.com | Peek | Avoid Crowded Places By Taking A "Peek" before heading out. | ['Glory Adedayo'] | [] | ['css3', 'flask', 'google-cloud', 'google-maps', 'html5', 'javascript', 'jquery', 'populartimes-library'] | 47 |
10,058 | https://devpost.com/software/venture-9nvozg | Log In, Home Page, Journals, List of Journal Entries, View of Journal Entry
Inspiration
Derived from the word adventure, Venture is an app that serves as a simple way to organize photos and record thoughts. Designed to inspire wanderlust and appreciation for nature, it encourages users to cherish the world we live in and make the most out of it.
What it does
The app allows users to upload photos of their travels and explorations and document their thoughts and memories associated with the photos. Individuals can create journals for different occasions and write as many entries for each journal. As our world becomes more digital, it is still important to find the time to write about our thoughts and reflect on the things we experience. This app helps streamline that process into a convenient and enjoyable way.
How I built it
I began by brainstorming app ideas for this hackathon and felt the urge to create something fun to remind myself of all the great things in this world. I sketched the interfaces I wanted to create on paper then began officially designing it in Adobe xd. I started arranging all the icons and buttons needed then proceeded to work on the branding in Adobe illustrator. Then I decided on the fonts I wanted to use and began stylizing the app. I used all my own photos for this app which further allowed me to exercise my creativity.
Challenges I ran into
The designing of this app took a long time for me to do as I kept making changes. Since I spent most of the time working on the flow of the app, I was not able to write the extensive code needed for the app. However I did discover a plugin for Adobe xd that allows you to export artboards into html files. I managed to create a few html files for a simple prototype.
Accomplishments that I'm proud of
I always participate in hackathons because I love to learn and create. Although I didn't expand my coding skills much, I did explore my creativity and my passion for designing user interfaces. I studied apps that I frequently used to see how to generate the most effective experience for a user. I also learned many new features of adobe xd during this process as I had to learn how to execute certain ideas I had.
What I learned
I learned how to produce an app that features heavy user engagement and things to consider in such situations. Although my app idea is relatively simple, I still pondered on how to organize a digital journal in order to construct a personal yet user-friendly experience. I also discovered ways in which html code could be obtained through the making of a prototype which may be a future possibility.
What's next for Venture
Venture's prototype has potential to become a real, working app. One way is to use the google open-source UI kit Flutter where the Flutter plugin can be installed in Adobe xd in order to export Dart code. This code can then be used to form a working app on a phone. A feature that could be added to make Venture stand out is a property that can convert the user's journals into printable pdfs. In this way, the physicality of a journal can still be preserved. Although Venture is nothing revolutionary and will not be in the app store anytime soon, it represents the union of the internet age and the need to maintain our gratitude and care for the world.
Built With
adobe-creative-sdk
adobe-illustrator
adobe-xd
Try it out
xd.adobe.com | Venture | A digital adventure journal | ['Johanna Zhang'] | [] | ['adobe-creative-sdk', 'adobe-illustrator', 'adobe-xd'] | 48 |
10,058 | https://devpost.com/software/planty-wzuvpn | Planty can be used for many websites
It retrieves ingredient from the website
Another example with BonAppetit
Figma UI Layout
More Figma Layout
How to install Planty
UI closeup example 1
UI closeup example 2
Inspiration
Our team is extremely passionate about the personal choices people make that can help address climate change. Often, we feel extremely helpless when faced with the issue of environmental sustainability but since agriculture is attributed to 24% of greenhouse gas emissions, the food choices we make can have a big impact on the environment. For example, switching from beef to chicken to salmon to veggies to lentils in a meal can drastically reduce the carbon footprint of your diet. Sustainable food alternatives is a key action that can be taken to positively impact the planet and Planty was made in order to help individuals make better food decisions when looking at recipes online.
What it does
Planty is a chrome extension that is easy to access and intuitive to use while still giving enough functionality to the user for its purpose to be achieved. Users can open the chrome extension while browsing different recipes. Planty will then identify and display all the food items which produce high carbon emissions, suggest alternatives and calculate the total carbon impact of the recipe with any alternative foods that are selected. This helps users become more environmentally conscious of their carbon footprint and provides resources to help them lower it.
How we built it
We began by prototyping our extension design and the user interaction with Figma and then converted the designs into HTML and CSS. We then integrated the interface with a chrome extension we built. After, we set up a firebase database with food and their respective carbon footprints as well as alternatives with their respective carbon footprints. We connected the database to the front end web pages by using Javascript. Additionally we also used a recipe web scraper and used browserify to connect it to our database. We were able to retrieve the food with the highest carbon footprints from our database along with their alternatives and display them for users to see on our chrome extension using javascript.
Challenges we ran into
We ran into numerous challenges while creating this project. Our team decided to center this hackathon experience on learning and improving our existing skills, therefore, we decided to challenge ourselves with designing our very first Chrome extension. We had to overcome numerous obstacles as our team had limited HTML, CSS, and Javascript experience. This meant we had to do extensive learning while creating this project, essentially building this whole project without previous experience with many of the components. Additionally, we ran into problems with Firebase and node.js. We needed node.js components which could not run with our firebase code. This required extensive research and many google searches until we finally found browserify which helped us connect the two. This was just one example of the many unexpected issues that arose. Finally, as this was an online project and we were all working remotely we encountered some hurdles that came along with the nontraditional workflow of communicating online versus in-person hackathons that our team had to acclimate to during the whole project duration.
Accomplishments that we're proud of
Our team was very proud of our work, not only for what it stands for : protecting our environment and tackling issues of sustainability, but also for its high functionality. In these 48 hours, every member of our team learned new tools and soundly grasped concepts such as web scraping, database structures, and UI design. The moment that we were able to go from being unable to even understand documentation to seeing the finished product was a magical moment to us as we saw the fruits of our effort materialize before our eyes.
What we learned
The growth during this project was phenomenal. From brainstorming and the initial design process on Figma, to creating a dynamic Google Chrome extension, each member was stretched in numerous ways. Each member was able to further their skills in HTML and CSS as we learned how to create more dynamic web pages. Additionally, our team expanded our skills with the firebase realtime database. We also learned a plethora of new skills including implementing web scrapers, utilizing browserify and other web services to bundle modules, and developing event listeners for our Chrome extension. Moving away from technical skills, we also gained many soft skills. We were able to increase our teamwork abilities and also our time management skills as our team utilized effective and clear communication to work together to ultimately reach our goal of creating our first-ever Chrome extension. Overall, we all gained numerous new skills to add to our toolkit.
What's next for Planty
All our team members have a deep interest in the problem of food sustainability and personal action that can contribute to tackling climate change. We are interested in developing Planty to be posted on the chrome store to help more people reassess the impact of their diet choices on environmental sustainability.
Built With
browserify
css
figma
firebase
html
javascript
Try it out
github.com | Planty | Planty is an easy to navigate and interactive chrome extension that helps you reduce your carbon footprint. | ['Johnson Su', 'Linda Ma', 'KekeLZ Zhang', 'Amy Han'] | [] | ['browserify', 'css', 'figma', 'firebase', 'html', 'javascript'] | 49 |
10,058 | https://devpost.com/software/terra-x9pwef | Inspiration
We wanted to help people learn more about carbon emissions through a passive and simple way.
What it does
Terra is a google chrome extension that will provide relevant info on carbon emissions through the web pages you browse.
How I built it
I used plain ol' javascript to build the chrome extension, and express.js for the API that provides the extension the relevant info.
Challenges I ran into
This is my first time building and learning about chrome extensions.
Accomplishments that I'm proud of
Being able to see the extension popup and render the view I made :)
Very simple, but it's nice to see.
What I learned
I learned more about google chrome extensions. Though, I wish I took some time to learn about it prior to the hackathon, so I can spend more time hacking than reading docs all day.
What's next for Terra
I will continue to build on top of the relevant info feature to do a better job at delivering the right info based on what web page you're browsing.
Also, I want Terra to detect online shopping and provide eco-friendly alternatives.
Built With
express.js
javascript
react | Terra | your carbon-friendly companion on the web | ['themichamy Huang', 'Mark Santiago'] | [] | ['express.js', 'javascript', 'react'] | 50 |
10,058 | https://devpost.com/software/new-leaf-green-consumer-purchasing-recommendations | New Leaf
Product Recommendations for Leggings
Product Recommendations for Bottle
Inspiration
Justin: I was inspired by watching Hasan Minhaj’s show on fast fashion; he highlights how wasteful new consumer products are in their production and consumption. Having to buy a new pair of running shoes, I realized that on Amazon there was no real way to see how wasteful a product was or find more environmentally conscious products.
What it does
New Leaf is a plugin for chromium (works on Chrome and Edge beta) that launches whenever you visit an Amazon product page website. It will suggest a few products that are environmentally friendly, show a picture, a general price range, and link to the product.
How we built it
Python web scrapers to get product name, price, description and links
Node/ Express server that accepts request from the chrome frontend, queries the dataset for products, and scrapes a website if it misses the dataset and returns to the plugin
React Chrome Plugin that queries the DOM for a product name and hits the backend for products and displays the results in a modal
Challenges we ran into
There are no good repositories of products made from recycled materials online that generalize to an american audience. For example, California has a database of california-only products. We had to build web scrapers to pull together data from a multitude of sources to build our dataset. Furthermore, if a product category misses our dataset, we search generalized green websites for products.
Mapping a product name from amazon to a group of products in the dataset was difficult. We use a few NLP procedures such as stemming and key-word matching to get better fits
Figuring out how to write a chrome extension as a react app was pretty challenging - there were certain steps such as “ejecting” the react application so that we could inject content scripts that were difficult to realize.
There are a lot of firsts on the team
Justin: first time building the back end (Node/ Express)
Jahaan: first time coding in javascript, first time building a scraper
Krishna: first time coding in javascript
Anand: first time writing a chrome extension, first time using flexbox
Accomplishments that we're proud of
Jahaan: As a mechanical engineering major, I haven’t really used any coding languages for any significant projects. The most I’ve done is make a calculator using MATLAB. Being thrown into a timed project really made me learn on the fly, and take a much more hands-on and improvised approach to learning than I’m used to. Even though I still depended on my teammates for the vast majority of my code, it felt great to have my very own web scraper (eventually) work. At the beginning of the project, my teammates were essentially speaking another language, but they took the time to explain concepts to me in a way that I could understand. By the end, I actually grasped some of what they meant, a huge improvement from the beginning. This was my first hackathon, and this whole experience really showed me the appeal.
Justin: Building the backend. I usually only do front end.
Krishna: It has been a long time since I last worked on a software project at any level; the accomplishment I am most proud of is simply picking the tools again (visual studio, git, python, etc.), playing around with them, and being able to produce something functional (in this case, a web-scraping application). Moreover, being able to read up on and better familiarize myself with the current accessibility of recyclable products has been quite eye-opening as well.
Anand: This was the first time I’ve written a chrome extension, and generally done anything on the front-end in a while. Refreshing my skills in react and javascript felt good. I was proud of being able to inject my content script into an amazon web page and use background scripts to do an action when the icon was clicked. I’m also proud of the way it turned out looking!
What we learned
There is a surprising dearth in repositories and applications that quickly and easily connect users to environmentally-friendly products. The few services we did find were only after performing dedicated searches for specific items or retailers.
Justin: How Node and Express work. I was happy because I got to read a ton of documentation I otherwise wouldn't have been motivated to read.
Krishna: When developing a website or other server-esque application, there are multiple ways to allow others to connect to your server and/or communicate with it. In order to make our plugin usable by users outside of our local networks, we need to establish some way to direct users to our server. One way of doing this is port forwarding; however, this method is not entirely secure, and can redirect an unwanted amount of traffic to our server. Therefore, for our testing purposes, we instead used ngrok, which provides us with a more secure and streamlined way to interact with and test our application.
Anand: Learned more about the DOM and how javascript interacts with it and more about the chrome engine. Also learned more about flexbox css.
Justin: I’ve had some idea of what web scraping was, but actually getting to work on one was entirely different. I’ve also never seen or used HTML before, so using HTML code in Python web scrapers was a really great learning experience! I also got to understand more about how programs talk to each other, and how to read responses in general. This whole hackathon was one big learning experience for me!
What's next for New Leaf: Green Consumer Purchasing Recommendations
The product matching algorithm can use some work. We can implement a fuzzy string matching for key-words. We can potentially use machine learning algorithms for matching such as cosine similarly or other multi-class classification models
(QDA, LDA, SVM, etc).
We can also grow our dataset. This is a manual and laborious process.
Finally, we can try to publish our extension on the chrome webstore!
Built With
beautiful-soup
chrome
javascript
node.js
pandas
python
react
typescript
Try it out
github.com | New Leaf: Green Consumer Purchasing Recommendations | Buying a product on amazon? Find an environmentally conscious alternative! New Leaf will recommend products made from recycled materials with low carbon footprints! | ['Justin May', 'Jahaan Turkhud', 'Anand Nanduri', 'Krishna Gotur'] | [] | ['beautiful-soup', 'chrome', 'javascript', 'node.js', 'pandas', 'python', 'react', 'typescript'] | 51 |
10,058 | https://devpost.com/software/breadboard | BreadBoard is a PCB design tool.
Try it out
bitbucket.org | BreadBoard | BreadBoard is a PCB design tool. | ['Warp Smith'] | [] | [] | 52 |
10,058 | https://devpost.com/software/sharenet | Helper's Find Request Page
Currently Helping Page
Register Page
Login Page
Request page
Inspiration
In our town, there are a lot of elderlies who cannot perform many simple tasks, such as grocery shopping, due to the risk of being exposed to coronavirus. To fix this issue, our town created a Google Sheet for people to reach out for help. However, the Google Sheet was very ineffective, because it was unclear and difficult to read. Therefore our team decided to ease this issue through our new website, ShareNet!
What it does
Our website offers 2 different types of accounts: Helpers and Requesters. The requesters are able to send requests for help, each attached with a description. This would then be displayed on a Google Map, where the helpers are able to view them. The helpers then select the most convenient person to help and help them in private.
How we built it
For the backend, we primarily used NodeJS, which handles all the data storing, account verification, and converting an address into latitude and longitude. Then for the front-end, we used a mix of Javascript, HTML, and CSS. We used HTML for the static component and handled the interactive components with Javascript, using jQuery to display the Google Map.
Challenges we ran into
The most challenging part of the project was converting a physical address into its latitude and longitude. We attempted many methods and finally settled on Google Cloud's Map API. However, since we had never used Google Cloud's APIs, setting it up was quite a challenge. Another rather challenging obstacle we ran into was using GitHub properly. Since we were frequently pushing code, there were often merge conflicts, causing a lot of our code to be deleted in the merge process. Additionally, making all the functions synchronize with each other was also a rather challenging task.
Accomplishments that we are proud of
Despite the many difficulties, our final product met all of our designs and goals, which we are very proud of. Furthermore, we were also able to display the Google Map in its full glory, which although we thought was unlikely to be done in time, we successfully implemented in the end. Finally, we are just proud that we created something that can help the world and the community around us in such a turbulent time.
What we learned
For the backend, we learned a lot about accessing APIs and the their benefits and flaws. In addition, we also learned about non-euclidean geometry and how to calculate the distance between two locations on Earth, a spherical object. For the frontend, we learned a lot about CSS and HTML, allowing us to efficiently build pretty webpages and interactive components.
What's next for ShareNet
In future, we think we will try to add many more functionalities to better ShareNet. For example, adding a rating system so that malicious accounts or inhospitable users would be better identified.
Furthermore, we think that there are a lot of time optimizations that can take place. For instance, instead of storing all of the requests in one place, we could partition it into several sections so that the searching for nearest algorithm's time complexity can be massively reduced.
Finally, in the future, we would advertise the app so that more people use it, building a bigger and more loving community.
Built With
css
google-maps
html
javascript
jquery
json
node.js
Try it out
sharenet.space
github.com | ShareNet | A website designed to connect the vulnerable to healthy people who can do their super market shopping for them during the COVID-19 pandemic. | ['Jeff Lin', 'Sarah M', 'Alex Fan'] | [] | ['css', 'google-maps', 'html', 'javascript', 'jquery', 'json', 'node.js'] | 53 |
10,058 | https://devpost.com/software/wild-walk | Inspiration
I'm a casual Pokemon Go player, and was inspired by that game to create a more "real-life version" of the game.
NOTE: This is made for mobile!
What it does
You can log in with Google, but I didn't prioritize it so logging in doesn't do anything :(
Check species that are native to your location
Upload species that you find into your personal collection!
Check out your very cool collection that is not personal because I wasn't able to get individual accounts working in time :D
NOTE: MongoDB doesn't seem to be working on my published website :( but it does work locally. Also, the domain.com URL is not redirecting to the correct IP address, so I put the IP of my website as well down below.
How I built it
This project uses a MERN stack! It uses a React.js frontend, Express.js backend and MongoDB Atlas database. It uses the NatureServer rest API to get the local native species, and its hosted on an AWS EC2 instance.
Challenges I ran into
Waay too many. My main challenge was that this was my first time using MongoDB Atlas, so getting it to work was a huge challenge for me, especially since I haven't worked with any databases before. Also, there isn't a decent plant API that gives you native plants according to your location! I opted to use NatureServe's rest API and show the user the native plants in his/her state. The documentation for this wasn't very clear, and I spent a few hours troubleshooting criteria part of my post request that supposedly was supposed to work, but didn't. I'm not very fluent in React or Node, so I learned a lot more about those. I just spent two hours trying to set a React component's state to an image... I'm so sure I did it right, but it wouldn't work. I gave up on manually doing it and downloaded a package that did it for me. Another challenge was publishing the website on an AWS EC2 instance. Actually I'm still struggling on that... the website loads, but the mongodb functions don't seem to work...
Accomplishments that I'm proud of
I got everything to work together! Although it the MongoDB functions only work locally for some reason...
What I learned
MongoDB Atlas... but not really. And many tidbits in React and Node and Express.
What's next for Wild Walk
Maybe a live map. To be honest, since there are over 6000 species in New Jersey alone, it would be very impractical to follow in Pokemon Go's footsteps. I would probably hardcode the things to discover, like... common species? So like common trees are oak, maple, etc, while rarer trees would be dogwood or something. I'm not too sure...
Built With
amazon-web-services
express.js
mongodb
node.js
react.js
Try it out
wildwalk.online
github.com
100.26.167.92 | Wild Walk | A web app designed for mobile phones, where you collect as many species as you can! | ['Samuel P.'] | [] | ['amazon-web-services', 'express.js', 'mongodb', 'node.js', 'react.js'] | 54 |
10,058 | https://devpost.com/software/abstract-art-in-nature | Inspiration
This project is inspired by the fact that people cannot go outdoors as often, worry-free. From a
website
, I learnt that viewing scenes of nature, reduces anger, fear, and stress and increases pleasant feelings. This shows that nature is very important, and since people do not experience much nature, I decided to make a project that helps people experience nature, worry-free!
What it does
Users can create abstract art against a nature background, just by using anything green and drawing in the air! Since it self-clears after a few seconds, the artwork would be as abstract as possible! It also comes in three different pen inks—red, green and blue and four different backgrounds. This is perfect for users to relax, and is especially useful for both front-liners and stay-at-homers to calm down and experience the long-lost nature again. For a detailed demo of what it does, check out the
demo video
!
How I built it
I used the OpenCV library to detect contours of the same colour (green) from the frames taken by the computer camera and trace the movement of the green object. I also downloaded some royalty-free nature backgrounds from online and used it in my code.
Challenges I ran into
It was definitely a challenge to learn and explore the OpenCV library in one day. I also ran into a lot of errors (mostly having too less or many arguments), but without a proper debugger I needed to read my code over and over again to find out what's wrong.
Accomplishments that I'm proud of
I am very proud that I got to learn so much in the making of this project! This is the first project I submitted to multiple hackathons and the first project I made by myself too! I am also happy that I managed to learn so much and make a project in time.
What I learned
I learnt the different functions the OpenCV library has to offer.
What's next for Abstract Art in Nature
I can improve the user interface and experience, and maybe let users save their abstract artworks!
Built With
numpy
opencv
python
Try it out
github.com | Abstract Art in Nature | Immerse yourself in nature! | ['Min Min Tan'] | [] | ['numpy', 'opencv', 'python'] | 55 |
10,058 | https://devpost.com/software/our-backyard-space | Inspiration
Our mission with Our Backyard Space is to foster an amazing collaborative community for everyone who loves the outdoors! Everyone has their own definition of cozy and comfortable, so why not share your space for others to see? People can gain inspiration and help each other out and ask questions! We foster and value community and hope everyone feels safe and happy here!
What it does
Here, you can upload photo submissions of anything outdoorsy related, especially backyard photos! You can also optionally write down what you want to say about the photo, and the username you want to go by! Then I will manually post them to my gallery for everyone to see! Examples can be seen on the website! You can ask for ideas, inspiration, or flex your beautiful outside outdoorsy backyard pictures.
How I built it
I built this web application using HTML, CSS, JavaScript, SCSS, Bootstrap, Flask, and Google App Engine!
Challenges I ran into
I initially wanted to build a React web application where, instead of submitting images through a Google Form, users would be able to create their own accounts using JWT authentication, and would be able to upload their own images on the spot! I also wanted users to be able to collaborate with one another, commenting on each other's images, giving positive feedback and reinforcement, because I think that's so important, to just be able to give and take good vibes. I also wanted to create a forums page or a commenting section where people would be able to ask each other questions regarding the outdoor life, (how to renovate your backyard), or the hiking life (recommendations on what to pack/wear). That is how I wanted to create the sense of community. However, unfortunately, I ran into a lot of troubles with React and I spent hours trying to fix it. In the end, I decided to just switch to vanilla website creation! Also, all the complications with hosting it on Google Cloud's App Engine was hard, but I managed to pull through!
Accomplishments that I'm proud of
I am very proud that I was able to create a full website using HTML and CSS. I think it looks great, and I love it a lot.
What I learned
I learned a lot of things along the way, not only did I learn a lot about the technologies Google App Engine and Flask, but I learned how to manage my time efficiently. Honestly, I did not think I was going to submit this project in time, but I tried my best with what I had and I pulled through, and I'm so happy.
What's next for our backyard space
I hope to complete my MVPs soon! I am proud of what I was able to accomplish in this short amount of time. I hope you all like this project! I had a lot of fun working on it!
Built With
appengine
bootstrap
cloud
cssj
domain.com
flask
google
html5
javascript
scss
Try it out
ourbackyard.space | our backyard space | Our mission with Our Backyard Space is to foster an amazing collaborative community for everyone who loves the outdoors! | ['Jessica Wong'] | [] | ['appengine', 'bootstrap', 'cloud', 'cssj', 'domain.com', 'flask', 'google', 'html5', 'javascript', 'scss'] | 56 |
10,058 | https://devpost.com/software/the-outdoor-app | Inspiration
What it does
Shows you tips for making your camping trip great, with tips to set up camp, great recipes to cook up for hungry stomachs, and links to campfire stories online for a great campfire experience
How I built it
AdobeXD
Challenges I ran into
Learning how to use AdobeXD in a short time to make the app with no tutorials.
Accomplishments that I'm proud of
I managed to make the app in less than an hour with very little time left on the clock
What I learned
How to use AdobeXD to make a small app and interactive.
What's next for The Outdoor app
Proper development for a better user interface and making it more interactive.
Built With
adobexd | The Outdoor app | This little app has all the features you need to arm yourself for an amazing time in the great outdoors. | ['Dark the Eyezor'] | [] | ['adobexd'] | 57 |
10,058 | https://devpost.com/software/corona-hangman | Home Screen
New Game. The Player is Shown a Hint
Win Alert. Player is Shown How Many Guesses They Used
Lose Alert. Player is Shown the Correct Answer
Inspiration
As we are currently in the midst of a pandemic, we wanted to create an application which would be fun, yet intellectually stimulating for children as they find themselves experiencing this new reality while living with the threat of COVID-19. Corona Hangman seeks to teach children interesting and educational facts about COVID-19 so they will be better prepared in their day-to-day lives.
What it does
Corona Hangman is an educational game which allows the player to complete the given COVID-19 fact by guessing the letters which make up the missing word(s). If they do not guess within a certain number of allowable attempts, then the man unfortunately gets hanged in the game and they lose. The more they use this app, the greater amount of knowledge they will digest, which will assist them in their everyday lives as they try to stay safe against COVID-19.
How we built it
The game was built entirely in Swift using the UIKit framework. No third party libraries were used. For the UI, we wanted it to look like actual drawings on a whiteboard so we drew all the visuals by hand. For the words, we created two text files, one that holds the words, and one that holds the hints. These are randomly picked and the beginning of each round. We made it so that the user gets 7 incorrect guesses before they lose. They select letters from a grid of buttons placed at the bottom of the screen. If they guess the word correctly, they are told they have won and how many guesses they took.
Challenges we ran into
Due to the hackathon being forced to be online, it was hard to communicate with other team members as it was more restricting than when members are able to communicate face-to-face. Another major challenge that we faced was strategically dividing tasks amongst the team members in accordance with each individuals' expertise. With time, we were able to assess each others' skills and divide work accordingly to achieve our goal.
Accomplishments that we're proud of
Despite the circumstances caused by the current pandemic, we were able to work cooperatively and finish the project on time. Moreover, each of us made sure to work with a tool/technology which we had never used before, so that the learning experience was maximized. Furthermore, we are very proud that we managed to efficiently work together, even though we were miles away from each other.
What we learned
This project was indeed challenging, however, this forced us to grasp a better understanding of app development. Finally, we learned that regardless of the hurdles, we are able to accomplish anything if we put our minds to it.
What's next for Corona Hangman
We aspire to expand our horizons and have Corona Hangman ready for any future pandemics or viral outbreaks, so it will better prepare children against what is to come. For instance, as per the Centers for Disease Control and Prevention, approximately 540 children died from H1N1 flu within the first six months of the viral outbreak. If only those children were somewhat better prepared, they may have had a better chance in survival against this kind of a deadly outbreak. At the end of the day, we want to save the lives of as many children as possible. Furthermore, we wish to arrange appointments with educational institutions to display and demonstrate our application to the students directly, and have troubleshooting and Q&A sessions every week just in case the children do not know how to utilize our product as intended.
Domain Name
Our domain.com registered domain name is
http://LetsHangCorona.online
Built With
python
swift
Try it out
github.com | Corona Hangman | Allowing children to learn more about COVID-19 in the midst of a devastating pandemic. | ['Niranjan Krishnaswamy', 'Arjun Dureja', 'Shoeb Islam', 'Farhan Mohammed'] | [] | ['python', 'swift'] | 58 |
10,058 | https://devpost.com/software/moivebot | Inspiration
I wanted to learn how to build a chatbot, but my local IDE and environments weren't working so I decided to work on a project on Colab. I came across a chatbot tutorial for Colab, and decided to follow/learn it.
What it does
MovieBot is a chatbot but only replies to you with movie phrases
How I built it
Made with help from a
tutorial
, Google Colab, Flask, Spacy, Python, and SimpleNeighbors
Challenges I ran into
Understanding the theory and math behind semantic similarity and reading the documentation to use updated versions of code
Accomplishments that I'm proud of
Finishing my first AI project and understanding the theory behind semantic similarity
What I learned
The theory behind chatbots, NLP, word and sentence vectors, cleaning/arranging data, etc.
What's next for MoiveBot
Moviebot is fundamentally a chatbot. If we train the chatbot with customer service data, support data, etc. you automate customer support for your business. Making an API for you to add the chatbot onto your website would also be great.
Built With
flask
python
spacy
Try it out
github.com | MoiveBot | A semantic similarity chatbot trained on movie dialogs | ['Ryan Lam'] | [] | ['flask', 'python', 'spacy'] | 59 |
10,058 | https://devpost.com/software/a-boring-useless-hardware-but-still-useful | Inspiration
I recently bought the adafruit circuit board express, so I decided to challenge myself a bit and for the first time in my whole student career using hardware.
What it does
This can able to alert the driver when you shake the board, it has the red light shining. It can also help you keep track of your exercise time in some sort.
How I built it
I built it using make code and adafruit
Challenges I ran into
Actually how to get started, how to transfer code (software) to the circuit board (hardware)
Accomplishments that I'm proud of
It actually works! When I shake it, it turns red, and it keeps track of exercise time in some sort.
What I learned
I learned basic knowledge for how to code for adafruit circuit board express.
What's next for A Boring (Useless) Hardware But Still Useful
Built With
adafruit
makecode
Try it out
makecode.com
gitlab.com | A Boring (Useless) Hardware But Still Useful | Cool hardware | ['boyuan12 Liu'] | [] | ['adafruit', 'makecode'] | 60 |
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