hackathon_id int64 1.57k 23.4k | project_link stringlengths 30 96 | full_desc stringlengths 1 547k ⌀ | title stringlengths 1 60 ⌀ | brief_desc stringlengths 1 200 ⌀ | team_members stringlengths 2 870 | prize stringlengths 2 792 | tags stringlengths 2 4.47k | __index_level_0__ int64 0 695 |
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10,255 | https://devpost.com/software/temporary-submission | Shopper Conversation
Home Page - 2
Shopper Profile
Home Page - 1
Home Page - 3
The Mission
The gig economy is broken.
Uber, SkipTheDishes, and other gig economy services are built upon the exploitation of gig workers - who are often paid under minimum wage with little to no benefits. Further, the spread of COVID-19 has decreased trust in allowing strangers to handle our transportation and shopping needs.
Neighbourdeeds is a personal shopping service with the mission to reinvent the gig economy. Instead of using real-time demand to schedule workers, Neighbourdeeds allows customers to sign up for
recurring
shopping deliveries from trusted individuals in the neighbourhood. The service was designed to facilitate trust between the worker and the customer, as well as to help provide a reliable and recurring source of income for gig economy workers.
The workflow is simple. Customers begin by a location-based search to find trusted shoppers in their area. They can then pick and choose available gig workers (depending on schedule and their biography) to sign up for recurring grocery/shopping deliveries.
During the scheduled time (weekly, for example), gig workers would drop off the requested items. The customer and shopper would then continue to collaborate on future deliveries. This recurring model creates a layer of trust and understanding between the customer and service provider. This results in higher satisfaction (for the customer) and a more reliable source of income (for the gig worker).
A service such as this is poised to succeed in the new COVID-19 reality. Given the relative danger of highly trafficked areas, an increasing number of consumers are resorting to online grocery shopping for their essentials. Additionally, the social distancing measures have created a need to find community, trust, and support in the services that we use on a daily basis.
Implementation
Neighbourdeeds is currently an idea to begin transforming the gig economy to be fair and inclusive. I believe that this service can be easily implemented and scaled with an initial pilot project in current service areas operated by FaceDrive and Hi-Ride.
An initial POC can be implemented with a Vue/React front-end and a Node/Python back-end with a Elasticsearch database hosted in AWS or GCP. This simple implementation should be able to handle fairly high-volume workloads for our initial pilot.
In the future, we can explore expanding beyond web functionality into mobile applications. I'm very much looking forward to pursuing this project further with FaceDrive and Hi-Ride. | NeighbourDeeds | Reinventing the gig economy, starting with personal shopping. | ['Frank Jia'] | [] | [] | 77 |
10,255 | https://devpost.com/software/heard-helping-eliminate-all-racial-discrimination-app | GIF
Shared GitHub with
info@dubhacks.co
Inspiration
Despite the Civil Rights Act, Black Americans still face brutality and unequal conditions today.
Black Americans suffer a higher rate of fatal police shootings than any other ethnicity at 30 shootings for every one million Black Americans.
Black households have 1/10 The median net worth of white households
Black Americans are living in poverty at twice the rate of their white counterparts
Black Americans constitute a higher percentage of COVID-19 Deaths
Black Americans are incarcerated in state prisons at 5.1 times the rate of their white counterparts
Once convicted, black offenders receive longer sentences compared to white offenders.
Studies have shown that people of color face disparities in wage trajectory following release from prison
While people of color make up about 30 percent of the United States’ population, they account for 60 percent of those imprisoned. According to the Bureau of Justice Statistics, one in three black men can expect to go to prison in their lifetime.
As a minority myself, as in many countries, many of have know, seen or been one discriminated based on our differences and other people and this is cause that still has not been reduced to an optimal level. With all of these points in consideration, I felt as it is my responsibility to use my productive coding skills in order to develop a high level application in order to help people be heard, avoid and act against forms of racial discrimination.
Main Features of the App
First here is the news feed in the home page tab. It allows end user to obtain powerful, unbiased and truthful sources speaking regarding the topics of race, discrimination and protests in regards to real world events and the ability to quickly view if you choose. Here you see:. Overall this section helps inform the user and spread awareness.
Here is the Petitions Tab where users are able to choose a petition they would like to support in order to help take action for those respective reasons. Some of these include justice for Ahmaud Arbery and other such incidents. Here you see: This will help users quickly take action with the quickest approach rather than scavenging the web for petitions. You can click the view button and it. Overall, this section helps the user take action against racial discrimination.
Here in the Statistics tab where you can view all the numbers the app is calculating behind the scenes to provide data in order to take action. Here you see: ... More specific data stored behind the scenes can be provided to local lawmakers, legislative officials and the towns to push for actions in those areas to help improve society as a whole. Overall, this section helps the user take action against racial discrimination.
Now we move to our search tab where we have a maps UI displaying our locations. Due to some constraints, I am not able to use a physical phone. Hence this Iphone 11 simulator displays the default San Francisco location header on the map, where otherwise it would show your location. Here, we have a text input where we can type in a location and enter to see various results. Based on the location input, we find data regarding the amount of complaints in this city. Since this app has not published any complaints yet we see 0. Using a custom algorithm with multiple data points from various apis, it estimates the amount of potential occurrences of acts of discrimination. We also see a risk level in order to help you make a decision whether you are going to avoid this location or not. We also see the amount of people in help status, which is a status you can enable in order to alert people nearby in your city to help you. Additionally, their icon will come up on the map. End users will end up seeing it and this will help others respond by going to their location and responding in numbers to that act of racial discrimination. Additionally, we see how many HEARD users there are in this city to see others in support. Over hear we see a button we can click in order to send a data point to the app to show we have avoided the location we typed in, incrementing data counters by 1 to track it. If we go out, we see this button in order to go into “help” status. Overall, this helps users avoid certain locations based on multiple data points.
Now to the last part of our app.
Here is the complaint submission form where you can submit a complaint regarding a person, individual, location and specify details regarding an act of racial discrimination. Additionally, the user can attach a photo in order to identify the person who discriminated. This will help us take action against such people and reduce racial discrimination on the back side of the app and provide this information to such organizations that do. Additionally, this data will be posted to the backend in google firebase and the cloud where the data is stored and then is retrieved in this upcoming section where all users can see the various different complaints by users in their areas.
Here we refresh and see my complaint comes up and we have a simple UI displaying this information.
I used various apis such as the news api, react-native-maps api, expo’s location api, the api provided by google firebase making the backend so easy, and various libraries for easy and efficient styling. These apis helped me make this app in such a small period of time.
That is all for this app and I hope this app can help make the world a better place.
How I built it
During the progression of this application, I built I primarily with already existing libraries which helped me style my elements quite quickly. I used libraries such as react-native native base, react-native-elements and react-native vector-icons. For the many apis I used in this project a News API creating the feed of news, react-native maps api allowing for the maps UI, the Expo permissions and locations API making it very simple to take data points using their documentation, Google Firebase API to help me use a simple post method to post my data reducing tons of time and geolocation/geocoding api that came with expo permissions. All of these apis and libraries made it easier to make a high level application in such a tight time frame. Overall, I used APIs, Location Services, Geolocation, Geocoding, Google Firebase, to create an application for people to connect, use data to make decisions to go to a certain location, alert other users around them for help and take action using petitions and the technologies provided in the application.
For alerting others, getting location and the maps UI I used the react-native-maps api, geofencing apis provided by expo and geocoding to translate a lat and long coordinates into an address and visa versa to process the address given, share location if you are in 'help mode' and alerting others if there is someone nearby who needs help.
For the news, I used News API for a feed
For the complaint form, I used Google Firebase API to store and retrieve data, which I also used to store statistics which can be used in order to take action.
Challenges I ran into
Some last second challenges I ran to was the manipulation of the database on Google Firebase. While creating the video in fact, I realize that some of the parameters were missing and were not being updated properly. I eventually realized that the naming conventions for the some of the parameters being updated both in the state and in firebase got mixed up. Unfortunately this took way to long and results in me having to cut the video up into two different sections. I stayed up until 1am and got it done. Thanks to all the great documentation and other tutorials I was able to effectively implement the rest.
What I learned
I learned a lot. Prior to this, I had not had experience with geolocation, geofencing and other location services which I found quite fascinating after I was able to fully learn them. I also learned how to upload large amounts of data to Google Firebase, which was easy with the help of tutorials, which I had previously thought was hard. Additionally, I learned new styling elements such as how to created rounded images and permissions to the images directory which I was not previously familiar with. At the beginning of this project, I did not think I would finish. However, I had learned that after you gain enough time with certain things and learn how to do it and push yourself to do it, you realize it is much easier than anticipated.
Theme and How This Promotes Social Good
Overall, this application was created in order to help reduce racial discrimination
Design
I created a comprehensive and simple UI to make it easy for users to navigate and understand the purposes of the Application. Additionally, I used previously mentioned utilities in order to create a modern look.
What's next for HEARD (Helping Eliminate All Racial Discrimination) App
I hope to create an API endpoint for the algorithm I created in order to determined the estimated occurrences of racial discriminations and calculated risk level rather than having it on the app. In the long term, this will reduce complexity if the app becomes larger.
Built With
algorithm
api
cloud
expo.io
firebase
geofencing
google
javascript
news-api
postman
react
react-native
react-native-base
react-native-elements
react-native-maps
Try it out
github.com | HEARD (Helping Eliminate All Racial Discrimination) App | Helping everyone get heard, avoid, and act against discrimination against minorities using geofencing, geocoding, location services, google cloud and apis to bring awareness to, avoid and act against. | ['Om Joshi'] | ['Powerbeats3 Wireless Earphones + WOLFRAM AWARD + $250 Digital Ocean Credits', 'First Place'] | ['algorithm', 'api', 'cloud', 'expo.io', 'firebase', 'geofencing', 'google', 'javascript', 'news-api', 'postman', 'react', 'react-native', 'react-native-base', 'react-native-elements', 'react-native-maps'] | 78 |
10,255 | https://devpost.com/software/information-database | school database
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 Information Database
good work
Built With
database
Try it out
atifakh.blogspot.com | Information Database | this project is to use for the higher education college and university systemhighly purposes to use this project to input easy data | ['atif khan'] | [] | ['database'] | 79 |
10,255 | https://devpost.com/software/care-coach | Team
AI Patient Conversation Platform
Problem Part 1
Problem Part 2
Solution
GPT-3 research paper our algorithms are based from
Examples of different training modules for healthcare professionals
Market Size
Alignment With Judging Criteria
Inspiration
COVID-19 has changed the way we treat patients (i.e. telehealth). It's also changed the way we TALK to patients. We have no good way to train that. The US spends $15 billion a year on training doctors. In 2011 med schools mandated cultural competency training, as only 8% have an official course on it. This costs $55 billion through malpractice expenses, 2.4% of total healthcare costs in the US. Our team leader has been a clinician at multiple hospitals and has personally seen these difficulties.
What it does
Care Coach is a cultural competency training platform for medical professionals to improve their bedside manners across a variety of dynamic settings using GPT-3. We provide medical practitioners to instantly create patient profiles for specific settings (i.e. COVID-19, Black Lives Matter) repeatedly, and get feedback on.
Note this platform can become a cross-industry AI training platform for cultural competency. For example, Facedrive and HiRide can use this platform to train drivers on how to deal with certain customers (i.e. drunk, sexual harrassment, confrontational, etc.)
How I built it
Carecoach uses automated conversation generation techniques with an engine driven by elements of OpenAI's GPT2 and GPT3.
The basic approach we used was to take a pretrained model (training such a model from scratch is prohibitively expensive ~5 M$) and applied a few-shot method.
GPT type models are generative, and they employ a shallow/sparse transformer approach in order to generate coherent words of phrases according to context. We use a few shot example of 10 conversations as input to the model, and thereby extract the result phrases as the response from the automated bot.
Currently this approach works decently between 3 - 4 turns of a conversation, and supplementing this with additional input data from real life interactions and classical NLP techniques shows promise.
GPT-3 for the ML model
Reactjs for the web interface
ffmpeg, moviepy (they're both python libraries) for video generation
modified version of pydub (a python library) for silence detection
Azure Speech to Text for converting trainee's speech
Azure Text to Speech Neural Voice for the avatar's voice
Various react libraries for recording audio, webcam, playing video, recording training session
Azure cloud functions for creating endpoints
AdobeXD for UI/UX prototyping
Adobe Premiere for creating gifs of avatars
Challenges I ran into
Going beyond 3 turns in a conversation. Silence detection. Video is generated on the fly so there's a delay / echo so far.
Accomplishments that I'm proud of
Getting validation from multiple hospital groups that are interested in learning more about the product and potentially trialing it in their environment. What you build matters only if it solves a real problem.
Leveraging GPT-3 in a novel way that we have not currently seen in the public domain so far. The technical discoveries we made during this hackathon will be a subject of a future research paper from our team.
What I learned
How to stitch together text output and an avatar visually mouthing those words in sync.
How to leverage GPT-3 for an accurate, multi-turn conversation in a medical environment.
How to navigate the healthcare environment to understand the budgeting process, vendor selection, and stakeholder navigation.
What's next for Care Coach
In the middle of talks with several hospitals such as Providence Health, Kindred Care, and Inland Empire Health Plan to run a pilot. Looking to close a deal and test the platform out.
We're also looking to add further training data from conversation transcripts to train our model from a hospital partnership.
Built With
azure
ffmpeg
gpt-3
javascript
react
Try it out
www.carecoach.tech | Care Coach | We are a PhD-led hospital team training medical professionals to improve bedside manners (during COVID-19) using GPT-3 driven AI patients | ['Ronald AngSiy', 'Flora Ma', 'Ebtesam Haque', 'Muntaser Syed'] | [] | ['azure', 'ffmpeg', 'gpt-3', 'javascript', 'react'] | 80 |
10,255 | https://devpost.com/software/healthrific-your-health-pal | todo
Built With
bluetooth
dart
flutter
Try it out
tiny.cc
github.com | na | no | ['Anubhav Sinha'] | [] | ['bluetooth', 'dart', 'flutter'] | 81 |
10,255 | https://devpost.com/software/ubarber | UBarber - Look Fresh, Stay Safe
Inspiration: Covid-19 has a huge impact on our daily lives, the economy, and our future normal life. During the pandemic all barbershops, hairdressers, and beauty clinics were forced to shut down, making zero revenue while still paying some operating fees for their businesses (rent, utilities...) and struggling to find means end for their families. On the other hand, people who were staying at home to flatten the curve require hairstyling and other beauty-related services given the period they were locked in, also to lift their mood and spirit up during these difficult times.
What it does: UBarber will allow users to book private hairstyling/beauty sessions at their comfortable and safe homes to avoid large gatherings that are usually found at barbershops and salons. On the other hand, service providers will have profiles that demonstrate their skills and most importantly show that they are using the full PPE required to complete their job in addition to the last time they were tested for Covid-19 and the test result. This platform will also provide an opportunity for those who have beauty & hairdressing skills but they practice it on the side to have a platform that allows them to actually practice their side hustle and generate income and not worrying about the costs associated with establishing a store.
How I built it: I have used my logical thinking & coding knowledge to utilize platforms like Bubble & GoodBarber to build a beta version of how the app will be. I'm looking for a qualified teammate with the right set of skills to help me build the final version of it.
Challenges I ran into: The two major challenges I ran into are finding the right candidate to help me build the final version of this app in addition to having the funding required to make this project come to life.
Accomplishments that I'm proud of: I have contacted barbers, hairdressers & beauty clinics and clients who require such services and talked to them about the idea of this platform, the feedback that I received was very positive and encouraging to proceed in building this platform. I did a market research analysis to determine the market size and other valuable data that will help in moving this project forward. The beauty & hair salon industry in Canada has a market size of 4 Billion Dollars which is a great marker to tap into. Moreover, I sought feedback about this idea from different entrepreneurs I met during my studies at UoWaterloo, the feedback was also positive and they also provided great tips that will allow me to better execute this project.
What I learned: I learned that this idea is a great opportunity and a window into our future normal life during and after Covid-19. This platform will give many skilled workers in the field of beauty & hair styling the opportunity to work & cope with the changes we are facing. In addition, I expanded my knowledge in building apps through this competition.
What's next for UBarber: Building the final version of the app, marketing, then going to market to collect feedback and enhance it as we go to become a successful business.
Built With
c++ | UBarber | UBarber helps you look fresh and stay safe.Ubarber is an app that allows users to search for barbers & hairdressers in their neighborhood and book a private session at their comfortable and safe home. | [] | [] | ['c++'] | 82 |
10,255 | https://devpost.com/software/eleutherios-tz9pow | Business cooperation model
Inspiration
Eleutherios
(https://eleutherios.org.nz)
is a global cooperative forum or circular economic system, that goes beyond the old local or linear economic system or tight coupling, implied by a single supply chain.
For example, if a person wants to access food or a new house, they have to serve or participate in the financial supply chain system first, in order to receive the food or house.
Business (finance) --> Customer (request e.g. food, house)
What it does
Eleutherios, removes this tight coupling, by inverting or delegating the customer’s request to the business or supply chain system, instead.
Customer (request) --> Business (food, housing)
By, putting the customer or request first, we can scale the request or invite more than one service or supply chain (food, housing) to help serve or manage the request or conversation.
For example, if a person or customer was hungry and isolated at home, they could register with Eleutherios through it’s website and create a forum or request, for some food. A grocery store owner could register as a service in the website and subscribe to the forum and ask the person what food they wanted? The grocery store owner could gather the food from their store and scale the forum by creating a sub-forum for a healthcare worker, to help with the delivery of the food. The healthcare worker could scale the sub-forum again and create another sub-forum for a delivery service and accompany the delivery service and be the person that delivers the food to the isolated person.
Forum (Food)
Service (Person or customer)
Service (Grocery store owner)
Forum (Healthcare worker to deliver food)
Service (Healthcare worker)
Forum (Delivery service to deliver food)
Service (Healthcare worker)
Service (Delivery service)
Eleutherios, scales the forum or conversation, that people or businesses are having, not the service or work, that they are trying to perform. People or businesses, still provide the same product or service in the world, but within the same conversation as other products, services or supply chains.
How I built it
Eleutherios, is built with an HTML/javascript (Angular) frontend and node.js (nosql/firebase) backend.
Circular tools or features:
Forum in forum (redundancy/resilience)
Tags for filtering forums or services (searchable)
Alerts to keep end users informed when new forums or services are created in the system (notifiable)
Blocking to prevent unwanted services or users from serving in forums they have been asked not to serve in or for requesting services, they have been asked not to request (accountability)
Service ratings/reviews (accountability)
B2B or shared processing (scalability)
AI (automatable)
Challenges I ran into
https://github.com/aletheon/eleutherios-alpha/issues
Accomplishments that I'm proud of
Discovering that forums can be automated using ML (machine learning). For example, ML can learn the behavior of services and what requests they are likely to make, and make them ahead of time. This is useful in pandemics, where the system can provision, face masks or respirators.
What's next for Eleutherios
1) Complete MVP
2) Create User guide, including how-to videos
3) Test the system
Built With
angular.js
firebase
html
javascript
node.js
Try it out
eleutherios.org.nz | Eleutherios | Global cooperative forum or circular economic system | ['Rob Kara'] | [] | ['angular.js', 'firebase', 'html', 'javascript', 'node.js'] | 83 |
10,255 | https://devpost.com/software/all-a-s-2amh8w | Friendly user login
Global Messaging Service
Global Messaging Service
User interface
Special Need Learners
User interface
Global Messaging Service Settings
Inspiration My inspiration started when i watched the movie ..... Social Network and i am a huge fan of Mark Zuckerberg. this then led me to create a global APP which will enhance the lives of kids by providing them a solution to a better and brighter education using online technology as well as allowing all students from across the world to make contact with each other just by a simple swipe of a finger and search for active users across the globe.
What it does its a fully functional educational resource and global messaging service for every user to easily connect with others via their online profiles.
How I built it i used appy pie and my ideas put together to create this global APP
Challenges I ran into the challenges was that of many to mention but the more server ones was time and this was not on my side as i had to work and still do development after work which was becoming rather difficult. i then decided to resign from my job and focus solely on the development and it was at this point were i was able to build my APP to an amazing state
Accomplishments that I'm proud of i have been featured on a few radio stations i was also on TV and most of all the most important achievement is helping people get an education. as well as to note that ALL A's has made it onto windows, IOS and Android.
What I learned is that time is something that can never be wasted and taken for granted as i know the true value of a second, a minute and an hour.
What's next for ALL A's to become the global leader in E-Learning.
Built With
appy-pie
Try it out
play.google.com | ALL A's | Em[powering the youth of our world by means of education | ['Zayne Chan'] | [] | ['appy-pie'] | 84 |
10,255 | https://devpost.com/software/order-up-6imhau | Order Up system architecture
Order Up Kiosk App
View Menu
Create order with your voice
Pay on companion Order Up - Customer app
Customer order confirmation
Merchant Web Portal
Live charts and merchant info.
Manage Menu
Menu to import
Auto-scanned and imported menu
Review orders
Inspiration
As a care giver, I have been hyper-sensitive about my contacts in this COVID-19 world. In looking for ways to use technology to improve on processes, I considered my local small businesses. Order taking requires risky face-to-face dwell time that can be limited with the right solution.
What it does
Order Up implements an automated contactless order taking and payment service using a voice-enabled kiosk and Square services for a catalog of items, order logging, payments, and loyalty rewards. The kiosk runs on an iPad and communicates with a Brother printer for the kitchen or fulfillment area to prepare the order. There is a companion Order Up Pay app that interfaces over bluetooth with the kiosk Order Up app. The Order Up Pay app identifies you to the service, enables contactless payment via a credit card with Square, or Apple Pay, and provides order confirmation.
The merchant logs into the Order Up app and can set up their service by identifying their printer and reviewing their menu. They can also review recent orders. When ready, they enter kiosk mode in the app to take orders. A user launches the Order Up Pay app and brings their phone near the kiosk to sync. They are then presented with a guided menu of things they can say on the kiosk to place their order. As they speak to the kiosk, it assembles their order and shows the total cost. The Order Up app automatically applies any earned rewards, such as a free item. The user can add a tip, and finish their order. The kiosk then prompts to make a payment on their Order Up Pay app. When that's done, the kiosk shows confirmation and prints the order on the prep area Brother printer. The Order Up Pay app shows their complete order with an order number so they can claim the order when it's brought forward.
The system is then ready for the next customer.
The whole system uses the Square service to host the order item catalog, to record orders, take payments, track customer loyalty, etc.
The backend and web portal of the Order Up service manages merchant account info and allows the merchant to interface with the Square service, such as reviewing orders, payments, and customers, and managing their menu. Order Up implemented a menu scan feature to make it easy to translate a physical menu into the Order Up backend.
How we built it
We created 2 iOS apps in Swift - Order Up and Order Up Pay. We used the Brother SDK to interface to the backroom printer. The Order Up app uses iOS voice recognition technology to implement the order taking process. Both apps use bluetooth technology to synchronize information between them. They both use the Square SDK to interface with the payments service. The Order Up app further interfaces with the Square service over their REST API.
The backend is written in Python and uses the Square SDK to interface with their service, and runs on a serverless architecture.
Challenges we ran into
There were numerous challenges in building this service from scratch. First, getting the voice interface working so that one can navigate through a series of hierarchical menus took a lot of experimentation and testing. Second was interfacing to the Brother printer, which took a while to learn, but we had some help from Brother support. Third was implementing the bluetooth sync interface between the two apps. That was very hard to debug any issues. Finally, interfacing to the Square service took a while to figure out, debug, and test. The payment SDK was somewhat easier to integrate, and there was some good example code. But the REST API required a lot of experimentation with the API explorer, trial and error in the code implementation, and proper sequencing of the calls to effect the transactions.
Accomplishments that we're proud of
We're very happy with the progress we were able to make in just a few weeks. While it still needs work before deployment, it's working well as a demonstration. There were a lot of pieces that all had to work together to even get to that stage. There is also a clear path to deployment and market viability.
What we learned
We learned a great deal about each of the various pieces. How to implement a voice-controlled interface, how to talk to Brother printers, how to sync information over bluetooth, and how to work with the Square service with their SDK and REST API.
What's next for Order Up
We want to identify a local merchant where we can field test the service. There is still work to do for account creation, merchant definition, menu editing, and some other components before Order Up is ready for deployment.
Built With
bluetooth
python
serverless
square
swift
voice
Try it out
github.com
testflight.apple.com
testflight.apple.com | Order Up | A voice-powered contactless ordering kiosk to minimize virus transmission risk for in-person ordering. A backend powered by Square provides a full order management platform. | ['Ed Arenberg', 'Chris Buonocore', 'Brian Cottrell'] | [] | ['bluetooth', 'python', 'serverless', 'square', 'swift', 'voice'] | 85 |
10,255 | https://devpost.com/software/smart-tourist | Inspiration
COVID-19 pandemic has brought the world into a halt. People were forced to stay at home. But, there would be a time when people will go out after the pandemic is over.
But, travel in post-pandemic era would be harder. It requires longer hour, many health-related checking and a lot of documents.Therefore, a simpler way for checking in the post-pandemic travel would be crucial.
What it does
SMART helps travelers to go abroad safer in a post-pandemic era by utilizing blockchain and machine learning. Documents that would be needed for travel could be placed in blockchain and machine learning could be utilized to understand itinerary data.
How I built it
SMART is built using blockchain for cross distributed document-checking.
Challenges I ran into
Implement blockchain for cross distributed document-checking
Integrate machine learning into the project
Accomplishments that I'm proud of
What I learned
We learn how to use blockchain, deploy machine learning models, and integrate it into our application.
What's next for SMART
Smart contract development; testing; fine-tuning; improve application
Built With
amazon-web-services
blockchain
Try it out
smart.acacio.my.id | SMART | Blockchaih-Based Passport for Post-Pandemic Travelling | ['Tri Labs'] | [] | ['amazon-web-services', 'blockchain'] | 86 |
10,255 | https://devpost.com/software/food-liv | sign as admin : usernam:foodliv / password:foodliv
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 Food.Liv
food
food.liv
deliver
Built With
html5
mysql
php
Try it out
freedevelopp.com
freedevelopp.com | Food.Liv | this project can deliver your order where you find | ['HayThem ait alla'] | [] | ['html5', 'mysql', 'php'] | 87 |
10,255 | https://devpost.com/software/bolt-pen | Inspiration -"I"
What it does-This is just concept or you can say A prototype this pen will bring a huge revolution in technology world all the keyboards and mouse will be disappeared from the market if it's implemented in to reality the description I have added to this basically it's a wireless USB device or a pen
How I built it- this just a concept or a vision whole programming and product development will be done by your team
Challenges I ran into
Accomplishments that I'm proud of
What I learned "A great vision has power to change whole world"
What's next for Bolt pen I want to see a vision into reality
The nip of pen will be connected to to chip on which series of sensors will be deployed | Bolt pen | A revolutionary solution for keyboard and mouse | ['Sanjog Gaikwad'] | [] | [] | 88 |
10,255 | https://devpost.com/software/quickeat | Inspiration
Since the onset of COVID-19, human traffic and shops have been restricted to flatten the curve. People still need to eat regardless hence our product, QuickEat.
What it does
QuickEat is a food delivery service that hopes to minimize the hustle of acquiring food.
How I built it
We used PHP and MySQL.
Challenges I ran into
None.
Accomplishments that I'm proud of
We completed the product in record time.
What I learned
We learned there is a need in the food delivery industry due to COVID-19 hence our product.
What's next for QuickEat
We hope to secure funding to implement a cashless payment system.
Built With
mysql
php
Try it out
quickeat.rf.gd | QuickEat | QuickEat basically aims to make feeding oneself easy and seamless as possible. Save time, energy and money to secure your favourite meal. | ['Yanilda Peralta'] | [] | ['mysql', 'php'] | 89 |
10,255 | https://devpost.com/software/medical-intelligence-applied-miia | Chatbot
Login
Facial recognition
Health check up
Patient home
Patient profile
Caregiver onboarding
Inspiration
In Canada, 17.2% of the country's population were aged 65 and older, and this number is only set to increase in the next few decades. Individuals over the age of 65 have a higher risk of developing medical conditions such as coronary artery disease, arthritis, diabetes, obesity, and neurological diseases. 85% of the aged Canadian population suffers from at least one chronic condition. Seniors suffering from chronic diseases require regular health check-ups every 3-4 months for proper management of medications, vital signs, and lab values. These conditions impact the quality of life and ability for seniors to perform in everyday activities, thus increasing the need for caregivers to assist with daily routines on top of managing complex medical conditions. Furthermore, evidence suggests that caregivers enter their roles with little support and therefore carry high rates of mental and emotional health problems as a result.
With the onset of COVID-19, the elderly's ability to access usual medical care and emotional support has drastically decreased, and the communication with caregivers and family is impaired. Seniors are advised to stay at home and may feel isolated from their family and friends, leading to struggles with mental health on top of existing feelings of hopelessness and possible grief from the loss of loved ones. Moreover, as a result of impaired health care, the elderly are also more susceptible to exacerbating chronic conditions that raise concerns for future life-threatening complications from the coronavirus. Caregivers too may experience increased stress due to barriers in remote support for the care recipients health and daily needs.
These problems all point to the need for a solution in developing communication channels between elderly and caregivers for health management, while making remote support and health care accessible. Mobile health (mHealth) interventions using smartphones have proven effective for monitoring mood and health symptoms, while also providing a platform for communication and support for mental health concerns. However, these applications are not always accessible for the elderly population. Finger sensitivity and mobility can be an obstacle for the elderly as it impairs their ability to interact with apps. Features such as larger font size, high contrast, and text to speech functionality are often neglected due to the lieu of modern design trends intended to appeal to younger audiences.
Therefore, we designed our app, miia (Medical Intelligently Applied) to be accessible and usable by most seniors, while providing a platform to aid in remote caregiving. Miia is an application that will help track and manage both physical and mental health conditions for the elderly population. For instance, we implemented a Chatbot function to ask seniors about mood and emotions, while also providing a means to input health measurements such as vital signs. The chatbot can be made to speak aloud, while the senior can utilize their voice which is then converted to text. Furthermore, our app has an additional function to track mobility and activity functions of our users through drawing data from the built-in accelerometer, gyroscope, and other smartphone sensors. This will help us predict activity, encourage exercise, and potentially prevent frailty and traumatic falls with seniors.
What it does
The system leverages AI technology to analyze data collected from facial recognition, speech recognition, wearable devices and IoT on a daily basis, and alert the caregivers if there are any identified risks. The platform also provides a way to facilitate communication between caregivers and care recipients, while aiding with health management to alleviate caregiver stress.
Our current figma prototype serves as a better representation of the app's final functionality and design. In contrast to the web application the prototype is developed for mobile devices to better serve the elderly through prioritizing convenience and mobility. The prototype itself is fully interactive as users have the ability to click, scroll and drag through both caregiver and patient interfaces.
App Guide
Caregiver
Signs up in the app and makes a profile for both themselves and their care recipient.
After choosing the caregiver option, they will set up an account with their email and phone number, and set a password.
Then, the caregiver will add the patient’s name and phone number.
They can then add the pre-existing medical conditions of their care recipient. In this case, the preset conditions are common chronic diseases but there is also the option to add more conditions and background information.
The caregiver can choose important metrics to monitor for certain chronic conditions, such as blood sugar level for diabetes, or mood for depression.
After adding the background information for the patient, a unique pin will be generated for connecting the caregiver with the care recipient.
A confirmation screen will also show the patient’s conditions and metrics to follow.
If there are multiple care recipients, the caregiver can add another patient.
On a daily basis, caregivers log in and monitor health of care recipients, the most important metric on display. The red notification symbol indicates a warning that requires caregivers to follow up on a metric.
In the patient profile, the caregiver can change or add more metrics to monitor, chat with the patients, or edit the patient profiles.
Elderly/ Care Recipient
Care recipient received a text message from the caregiver with his/ her unique pin. If a senior is unfamiliar with technology, the caregiver can help him/ her to set up the app.
Choose to sign up as a patient, and enter the pin received.
Our chatbot, guide seniors through the whole health checkup process on a daily basis
The patient can choose to text or speak to the chatbot.
Miia will proceed to initiate the process of health check by taking their facial image
Miia will first ask a few questions regarding their physical and mental health, such as body temperature, blood pressure, or mood and the senior can input manually or tell miia their measurements. For voice inputs, Miia will repeat the measurement to verify.
Depending on the needs of the senior and caregiver, the chatbot can also ask about other metrics, give reminders, or chat with the senior.
After health check, users will be redirected to a health overview which summarizes results for the senior.
Key metrics of seniors are shown in measurements. If the user is interested in knowing more of a particular metric, they can click the metric and look into the details.
If seniors have any concerns, they can contact their caregivers using the in-app chat function.
If desired, they can also choose to add or remove wearable devices and sensors.
Lastly, they can check their profile, which shows personal information, settings and caregiver information.
How we built it
Software
• Frontend development using Flutter
• Backend development using FireBase
• Chatbot using Dialogflow
• Hosting and CICD setups using Netlify and Heroku and GitHub.
• SQL DB connected to the app with Restful API
• Google Colab notebooks to execute heavy GPU workloads and ML Algorithms
• Invision for developing WireFrames
• Figma for creating the prototype
Machine learning
We collected datasets from various sources such as Kaggle, JAFFE, and IMFDB and trained the machine learning model for a couple of tasks: the identification of emotions from facial expressions, identification of BMI from face images, identification of emotions from speech, and detection of falls from phone sensors. Determination of cardiovascular disease risk is also achieved by reviewing cohort studies and results in medical journals. After training the model, we deployed a demo of the emotion prediction model, BMI prediction model, and cardiovascular disease risk using Heroku service.
Challenges we ran into
It is difficult to find quality labelled data for training machine learning models, which in turn affects the accuracy rate. Given that this is a remote hackathon, we were also unable to test connection with wearables. While there is flexibility to use the app without external sensors, we plan to integrate with multiple wearable devices and platforms in the future.
Accomplishments that we are proud of
We have completed the whole UI design, developed a fully functional chatbot, trained machine learning models for emotions/ BMI prediction using facial images, and the backend & frontend development of the main features of the app.
What's next for medical intelligence applied (miia)
App Development
Health data collection via speech recognition and wearables
Data analytics dashboard
In-app chat
Wearables
Water-proof watch for seniors
Water-proof necklace for seniors
Recruitment
We are planning to bring the project to the next stage. Shoot us a message if you're interested!
Built With
dialogflow
firebase
flutter
google-cloud
python
Try it out
github.com
github.com
bot.dialogflow.com
miia.webflow.io
emotionpredict.herokuapp.com
drive.google.com
www.figma.com | medical intelligence applied (miia) | Digital health solution for seniors suffering from chronic illnesses and their caregivers | ['Ava Chan', 'Rohan Pal', 'Andrew Chan', 'Kishoraditya Chaudhari', 'Duncan chiu'] | ['WINNER', 'Best Health Project', 'Best Mobile App', 'Champion', 'Best Impact'] | ['dialogflow', 'firebase', 'flutter', 'google-cloud', 'python'] | 90 |
10,255 | https://devpost.com/software/music-promotions |
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Inspirations
I was inspired by many artists who always contact me to help them in the promotions of their music
What it does
It helps in the promotion of any kind of music
How I built it
I managed to promote some music and that helped me to get artists who needs my help
Challenges I ran into
Most of the artists I do promote are upcoming so they lack money so I end up making losses
Accomplishments that I'm proud of
Is that every song I promote becomes a hit song with in a short after the reli
What I learned
Music promotion can't be done alone it needs teamwork
What's next for Music promotions
I would like stage an event under my promotion
Try it out
gmail.com | Music promotions | Selector Stevo Hoima | ['Tukamuhabwa Steven'] | [] | [] | 91 |
10,255 | https://devpost.com/software/virtualset | Inspiration
Learning
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Virtualset | Virtualset | Virtualset | ['Kazeem Abdbasit'] | [] | [] | 92 |
10,255 | https://devpost.com/software/chatbot-social |
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Rolê
Inspiration
My inspiration was the city where I live, there is no channel that reports what is in the city, people have no place to search in a simple and agile way, so we found a great need to have a unified means of communication where I had all the information we need, such as: companies, service providers, entertainment, etc.
What it does
The solution is a Chatbot available on WhatsApp that informs everything that is happening in the city 24 hours a day, we use Artificial Intelligence, where it has a relaxed and fun dialect.
Informs everything about entertainment such as: shows, theaters, ballads, as well as trade companies such as shops, restaurants, delivery, beauty salon, all kinds of freelance services even the digital influencers of the city.
How I built it
Builds using artificial intelligence from IBM - Watson
Challenges I ran into
The challenge I found was to make the Bot smart to understand all forms of conversations, since it caters to children and elderly people, designed to help all types of people.
Accomplishments that I'm proud of
It was his launch where we had more than 1000 thousand hits, all giving good feedback, people are impressed with the Bot, because he is so smart, fun and agile, just add his contact and say Hi, he already starts talking.
What I learned
I learned a lot with the development of Chatbot, due to having learned everything through the internet, I had no knowledge about artificial intelligence, I am self-taught, because I have no college.
In addition to tremendous creativity to create new and useful things for people and companies.
What's next for Chatbot - Rolê
For Rolê, our Chabot, we want to expand Bot to a global level.
Making you smarter and smarter.
Especially now with COVID-19 people need to know which establishments are open, self-employed professionals and companies need to publicize their products and services even more now.
Built With
ai
artificial
Try it out
api.whatsapp.com | Rolê | Chatbot for social service through WhatsApp, inform everything that is happening in the city. | ['Flávia Porto'] | [] | ['ai', 'artificial'] | 93 |
10,255 | https://devpost.com/software/nai-artificial-intelligence-desktop-navigation-lho2pw | GIF
Artificial Intelligence
Controlling mouse with corresponding gaze direction. Blink for mouse click.
Gaze estimation using Deep Learning.
Naruto Eyes (Fun mode)
Navigation of desktop using Artificial Intelligence. (GUI)
Inspiration
Millions of great people, are not able to use their electronic devices as efficiently as they potentially could, because of some uncontrollable circumstances. Because of that, many potentially brilliant writers, engineers, musicians, etc. could not conveniently follow their passions and create great things for humanity, and enjoy their lives a bit more. We decided that we are willing and we are capable of taking action towards helping those people. We decided to build software that solves this problem for physically disabled people and makes this world a little bit better.
What it does
Our first prototype enables people to navigate around their desktop, using only their eyes. This includes moving the mouse and pressing the buttons. It also has fun Naruto eyes mode.
How we built it
We built the base in Python 3, we used PyQt5 to create a GUI. Then we used OpenVINO and dlib library's pre-trained models and applied some transfer learning on them, in order to estimate the real-time gaze direction. We used OpenCV for detecting blinks and pyautogui library for controlling the mouse movements, and we used Docker for containerizing our application.
Challenges we ran into
First and the biggest challenge was the optimization of the inference of our deep learning models in order to make our app run faster.
Solving all the version compatibility issues(we ended up using Docker to solve this problem).
Accomplishments that we're proud of
The biggest accomplishment that we are proud of is the fact that we were able to turn what we had imagined into life.
We are also very proud that even the first version of our software is readily available to help disabled people immediately.
What we learned
We gained more experience in working with Deep Learning applications and learned new cutting edge technologies like Docker.
We also felt all the huge importance and power of good teamwork.
What's next for NAI - Artificial Intelligence Desktop Navigation
Our further improvements are:
Packaging app into ".exe" file, so it could be downloaded and run by anyone on any kind of operating system.
We are working on a website enabling people to download our software from the web.
Working on the sensitivity of the models, so our app works better, faster, and more precisely. Training our own model, instead of using OpenVINO models for better performance.
Adding NLP and voice control options to our application.
Adding more functionality and options to GUI.
Creating a mobile version of the app, using TensorFlow lite, to run our models on Android and iOS.
Built With
c++
dlib
keras
opencv
openvino
pyautogui
pyqt5
python
Try it out
github.com | AI Desktop Navigation | We are utilizing AI to create an innovative way for all people to control their electronic devices by using their gaze. | ['Matvei Popov', 'Sharan Babu', 'Srikar Samudrala'] | [] | ['c++', 'dlib', 'keras', 'opencv', 'openvino', 'pyautogui', 'pyqt5', 'python'] | 94 |
10,255 | https://devpost.com/software/win-win-201lpd | Cooperation Driven by Reciprocity, Not Conformity (psychologicalscience.org)
Inspiration
The recent rise in ride-share and ride-hailing companies is truly remarkable. Whenever a new type of business opportunity is invented and introduced, whether it is the invention of airplane or the introduction of e-commerce, too many new companies come up and attempt to grab the opportunity. Many of them miss to understand and adhere to the fundamentals of the techno-economic viability of that business type, and fail to survive beyond a few days.
What it does
This project is an attempt to offer some tips to ride-share and ride-hail companies, so that such companies can stay longer in the business, and drivers, passengers, society, and the government are benefited by their business.
How I built it
A simple web-site is built, and some tips are added in the form of text and images.
Challenges I ran into
Understanding the industry at large and extracting some tips was not an easy task.
Accomplishments that I'm proud of
I am hopeful that these tips will be helpful.
What I learned
The "bathtub model" used in the reliability theory is applicable in understanding the business survivability.
What's next for Win-Win
I might add some more techno-economic details.
Built With
html
Try it out
github.com | Win-Win | A few tips to help ride-share and ride-hail companies, drivers, passengers, society, and the government | ['Lalit Patel'] | [] | ['html'] | 95 |
10,255 | https://devpost.com/software/ridhima-s-covid-app | This is the downloaded app on the phone
Inspiration
COVID-19
What it does
Self declaration for COVID
How I built it
I built it with my imagination and the situation the world is in right now
Challenges I ran into
The code kept disappearing
Accomplishments that I'm proud of
That I finished I nice project even if I do not win
What I learned
How to code better than I used to
What's next for Ridhima's COVID App
Enhance for more features of sending alerts and notifications
Built With
code.org-local-school-database
Try it out
studio.code.org
github.com
docs.google.com | Ridhima's COVID App | Self Declaration for COVID | ['Ridhimasgame Bembey'] | [] | ['code.org-local-school-database'] | 96 |
10,255 | https://devpost.com/software/karinderya-bot | Inspiration
Introduction
There's nothing more essential to the Filipino food culture than the carinderia. It is the go-to place of every Filipino for homemade food on every occasion: from workers getting their lunch fix, to families taking out meals to eat at home. It is Pinoy-style fast food at its best.
The COVID-19 pandemic has hit the food business here in the Philippines, with the small local eateries suffering the most; the entire industry is projected to lose 80% of expected revenue as the pandemic rolls on. While food deliveries are on the rise, most carinderias are left out of the top digital platforms, not able to reap the convenience and benefits they provide.
Now, there's a way for these food stops to be part of the new normal. Carinderia PH aims to solve this problem by providing an easy-to-use digital marketplace for small local eateries and businesses to be able to serve their customers.
With Facebook Messenger as one of the most used messaging applications in the Philippines with over 78.5 million users, small food businesses started creating their own Facebook Pages to be able to reach their customers and sell their products, especially during the pandemic. Customers can quickly engage with the Facebook Messenger chatbot without the need to download or sign up for a separate app or service. They can also find all the restaurants within their area, check all information about the stalls such as products, reviews, ratings, and map locations.
Dashboard
Through a dashboard that is viewable from both the web and inside the Chatbot, carinderia owners or even food enthusiasts can set up a virtual eatery in a few minutes. With a few clicks, photos are uploaded, and menus with prices are made. Instantly, these products are automatically learned by artificial intelligence to show it whenever customers are particularly looking for it.
Inside the dashboard, owners can monitor visual analytics of sales, visitors, orders, ratings, reviews, and geographic reports to help them track profits and make adjustments or data-driven business decisions. Their outstanding performance is rewarded through free promotions across all the customers within the platform.
Geographic reports
- give stall owners a capability to see how their products are being patronized on certain areas that can be used for targeted marketing and business decisions.
Visitor Hit Rate
- metrics that show the trend of users as the stall goes live. This could be used by owners to schedule their promotions and see if their marketing efforts actually converts.
Feedback
- shows customers' satisfaction rates to help owners improve.
Customer and sales reports
- provide tracking of profit, customer acquisition, product quality, and store performance.
The products page enables stall owners to set up their online menus.
Menu and product creation.
Variant Management
- the capability of owners to add different variations of their products. They can also add separate images for each variant.
The orders page displays the list of all orders from chatbot customers. Owners can manage the orders from this page such as accepting, declining, and tag ready for delivery/pickup. By also clicking the name of the customer, owners can start a conversation with the customer
The Stall Setting page is where owners fill up information about their online store which shall also be visible to the customers.
Chatbot
Kayenna is Carinderia PH's very own virtual assistant that lives in Facebook Messenger. She will help users find their favorite local eateries, get info about their business, and showcase their products. Using the power of Natural Language Processing and Artificial Intelligence, Kayenna will be able to give users results on eateries that serve their current cravings.
Some customers are very particular with the carinderias they patronize, so at the tip of their fingers, they can get notified if their go-to is ready to take orders or have a new menu to offer. Carinderia PH automatically sends these orders to the respective stalls while customers can track the progress of their orders in real-time or even start a conversation with the owner regarding their orders.
Users can also help out their favorite local eateries by giving them ratings and feedback that will help other customers find their new favorite carinderia.
Carinderia PH Chatbot in Facebook Messenger
After clicking 'Get Started' Kayenna will welcome customers with menu options to choose from
Customers can simply type in their cravings and Kayenna will find stalls that serve the food they're looking for. After clicking the 'VISIT' button, customers will be asked one time to set their delivery address by pinning their location on the map. After this, nearby stalls serving the searched food will be displayed.
Stall information such as delivery hours, location, reviews is viewable by tapping the info button.
Adding food to the cart and checkout process.
Customers can view the progress of their order after receiving each order status notification
Customers can type in their inquiries about their order.
Aside from tapping 'OPEN STALL' in the main menu, stall owners can also type in their request to register their store in our platform.
Conclusion
As everyone adapts into the new normal, Carinderia PH will seamlessly connect patrons with their favorite carinderias with safety and convenience. Carinderia PH, digitizing local eateries.
How we built it
Chatbot
- We created the Chatbot using Microsoft Bot Framework V3 on Node.JS and channeled to Facebook messenger utilizing Facebook GraphAPI.We integrated Wit.ai as our NLP and product entity training programmatically from the dashboard.
Dashboard
- We built the dashboard using typescript Apollo client, AWS amplify, GraphQL, base web as UI Framework. We used Cloudinary for image repository.
Backend
- We are hosting on different providers, our Microsoft bot framework bot service is deployed in Azure while the rest of the backend is running on AWS Lambda, Appsync.
Challenges we ran into
We initially had problems with how we are going to train each entity such as product and name of stalls; fortunately, Wit.ai can create objects and feed it to existing trained utterances programmatically. As we aim the customers to re-engage with the bot, the one-time notification had given us the option to subscribe users to unavailable products or currently closed stores then notify them once the product and stall are ready for orders.
Accomplishments that we're proud of
We have combined some of the most modern and advanced software development tools, services, and frameworks out there to create a platform with an impact on one of the most crippled businesses today, local dine in.
What we learned
For the dashboard, our team has explored and used some cool and convenient stuff such as codegen tool of Apollo GraphQL and entirely run its interface on Now serverless. It is also our first time implementing a one-time notification and the newer version of Wit.ai for a chatbot while the backend services are also running on serverless Lambda.
What's next for Carinderia PH
Keep it live for the food stall businesses and help communities share more of their delicacies to their neighbourhood.
Should all goes well, add cashless payment integration and delivery service.
Built With
amazon-web-services
facebook-graph
graphql
microsoft-bot-framework
next.js
node.js
react.js
typescript
wit.ai | Carinderia PH | Carinderia PH is an on-demand food delivery service for the local Filipino eatery, similar to UberEats and Postmates. It helps small businesses like "Carinderias" during the pandemic. | ['lanzosuarez Suarez', 'Romesias Kristu Dorado', 'Patrick Ian Co', 'Bench Cosme'] | ['Second Place'] | ['amazon-web-services', 'facebook-graph', 'graphql', 'microsoft-bot-framework', 'next.js', 'node.js', 'react.js', 'typescript', 'wit.ai'] | 97 |
10,255 | https://devpost.com/software/dan-sako | Inspiration
In Northern Nigeria, there is virtually few homes without home businesses by housewives or an aged lady, but these businesses never thrive due to locking women indoors and never allowed to go out.
This rendered most women powerless because of financial constraints, they are unable to make personal decisions.
Having a business at home and advertising on social media, exposed their business to a larger market, but this market never scale due to inability to satisfy key customer needs, which is delivering the product to customer.
What it does
This will help people especially women deprived of going out due to very strong religious and cultural beliefs in Nigeria, which prevent millions of women to carry out successful businesses and becoming financially independent to empower and enable them make decisions for themselves and provide income stream for millions of bike owners due to ban on commercial bike activities by government in many states in Nigeria.
How I built it
Challenges I ran into
It was very challenging for me to go out and speak to the affected people directly.
Accomplishments that I'm proud of
I was able to identify a problem in my community and provide solution to it that will benefit humanity.
What I learned
If an only if we face our challenges, then an only then we will succeed in getting a solution.
What's next for Dan Sako
Dan Sako vision is to be the savior of the oppressed women and small business, to provide them an opportunity for financial freedom.
Built With
express.js
mongodb
node.js
react-native | Dan Sako | A platform empowering oppressed women in Nigeria and small business. Women in Northern Nigeria are prevented from going out, which crippled business owners due to delivery factor. Our close this gap. | ['Zaharadin Mandekira'] | [] | ['express.js', 'mongodb', 'node.js', 'react-native'] | 98 |
10,255 | https://devpost.com/software/covidnet-jq97oa | Our site's homepage.
Site homepage (ctnd).
A diagram showing the relationship between the various components in our project.
covidNet by Anirudh Kotamraju and Kailash Ranganathan - A Deep Learning Powered Coronavirus Visualization and Prediction Software
Inspiration
Coronavirus is undeniably the most major problem of current times, but it seems that quarantine and the effects it is having on the global market and on people’s lives are influencing a new wave of openings, and with it, an even stronger and more potent virus.
People are not adhering to social distancing as much, and while we understand their perspectives to want to quickly resume their normal lives, we wanted to deliver an objective and informative way to show people that coronavirus is more potent and spreading faster than ever.
To do this, we built covidNet, a realtime web app that uses up-to-date coronavirus data to display the growth of the virus in all US states and also use deep learning to give predictions and insights into how coronavirus will grow over the next 30 days using recurrent neural networks. This will be able to give a better insight into how coronavirus could grow over standard regression and curve-fitting models in place.
What it does
covidNet delivers a neat and clean UI straight to your device that gives visual data for all 50 US states on total cases and how they have grown since the start of the coronavirus outbreak. But the main attraction is the prediction curves, where we trained individual “recurrent neural network” models for each of the 50 states to analyze how the virus has grown over the past few months and continue the curve to predict the virus’s cases over the next 30 days, a lookahead from today. Quick highlights for predicted (total) cases tomorrow, in 3 days, and in one week are also visible for each of the states. The website is updated daily.
Each day, a Google Cloud Virtual Machine automatically starts up. It gets the new data for the day, and automatically trains each of the 50 models using the new Johns Hopkins data (not from scratch, but starting from the previous day’s trained models). It then uploads the new models’ predictions for the historical time and the next 30 days into a Github repository as well as the model files for the next day’s training. Whenever a user visits the website (hosted on Heroku), the predictions are taken from this Github repository. Thus, both our models and website are automatically always up to date with the newest trends in each state's fight against the pandemic.
With this project, we are able to give well organized and accurate predictions using state-of-the-art deep learning methodologies of what the virus could become in each state if further action is not taken. We hope that this will help present the true danger of the uncontrolled virus and encourage preventive action to be taken in the future.
How we built it
We used Dash and Plotly for our frontend, libraries especially relevant for visualizing data science results. With this, we are able to efficiently and effectively integrate our neural network prediction backend with a clean frontend all in Python with some CSS formatting.
The model updating happens on a Google Cloud Virtual Machine. It is configured with CRON to automatically start up at a certain time and run a startup bash procedure each day. This procedure begins training the models and pushing the csv and model files to our main github repository, where these results are integrated with our frontend. It features a streamlined python script that fetches data from Johns Hopkins, formats it and retrains 50 state models, and saves those to files as well as their historical and 30 day future predictions to a csv. The models are trained using 2 layer deep LSTM neural networks, with dropout rates of 0.2-0.3 implemented to prevent overfitting. The model files are saved so that on the next day, rather than starting training on the dataset and next day’s data from scratch, the training can load in the preexisting model and continue from there, making the model more accurate as time goes on.
The website is live and anyone can access it at
https://covid-net.herokuapp.com/
. Because our training is scheduled, the website and models are automatically updated daily without us having to do anything.
Challenges we ran into
Because LSTM’s are more complicated structurally (and time-dependent as opposed to normal ANNs) than normal feed-forward neural networks, our analysis of coronavirus time series from raw data was quite difficult. We spent a long time devising algorithms to convert the data from raw text (from the Johns Hopkins coronavirus dataset) to properly formatted and normalized tensors to run through our LSTM but were able to generalize this process and train a model given state data just by inputting the state name into our program. With this data our models devised, we were able to quickly create interactive graphs with it to display on our website.
Furthermore, one of the most important parts is that the whole program updates daily automatically, meaning that we don't have to manually change anything and the models will automatically take data from the dataset, continue training from the previous day's models, and fit to the new data while becoming more accurate. This was extremely hard, as we had to go from a python script that ran one model at a time to one that took data, formatted it, and trained and saved all models in an organized manner. Furthermore, integrating the frontend and backend using Github was also a challenge between configuring the GCP Virtual Machine and Heroku.
Accomplishments that we're proud of
We are proud that we were able to write the neural network, train 50 individual models on 50 individual datasets (one for each state), and deliver it in a functioning and visually pleasing UI in the timeframe of the Hackathon. We were able to functionally link the backend neural network Tensorflow model with the frontend Dash and Plotly web app and in the end, could deliver a useful and easy to use visualization of current coronavirus statistics for all 50 states and our deep learning predictions for future cases starting with the next 30 days. Because daily updates from a virtual machine have zero room for error (or the whole website comes crashing down), our process for automatic updates is robust, reliable, and organized well so that connections between backend and frontend are clear (through GitHub). We are also proud of the completely automated model and data update process, which updates the models using *
bash scripts on Google Cloud, then writes them to Github, and the Heroku app accesses those updated data files on Github and presents them to clients on a real time basis. *
What’s next for covidNet
Our application and neural network still have some refining to go through, even though it works quite well for all 50 states as a prediction device. We wish to make a bigger, deeper, and more powerful LSTM network to detect more subtleties and insights in the coronavirus data, and also bring in more variables, such as the openings of states, different social distancing orders, and other factors that may affect the spread of the virus. We already expanded on this project by going from only 37 states in a static website initially to a realtime, updated daily website with not only more accurate results but new data and extra training every single day. Perhaps with more computational power and a multivariate system, we will be able to not only predict coronavirus cases, but simulate different paths for the virus using different societal and community parameters, such as level of lockdown, average interaction among crowds, and others.
We hope you all stay safe and have fun :)
Built With
dash
github
google-cloud
heroku
numpy
pandas
plotly
python
scipy
tensorflow
Try it out
covid-net.herokuapp.com
github.com | covidNet | A Deep Learning Powered Coronavirus Visualization and Prediction Software | ['Hoponga (Kailash Ranganathan)', 'Anirudh Kotamraju'] | ['Second Place'] | ['dash', 'github', 'google-cloud', 'heroku', 'numpy', 'pandas', 'plotly', 'python', 'scipy', 'tensorflow'] | 99 |
10,255 | https://devpost.com/software/anonifi | Inspiration
The Covid-19 pandemic has cost millions of people their jobs. Hunger and poverty has skyrocketed, mental health issues are exploding and people get less help due to scarcity of resources and limited movements.
During this nerve wrecking crisis, I have been forced to work remotely with my team, unfortunately we couldn't afford the steep price and 40 minutes time limitations of using zoom free. So we decided to build our own video collaborating app to help us save cost. After searching for weeks for hosting providers that won't hurt our meager pockets, we decided to go with AWS. Fortunately, AWS has this 1 year free tier that allows us to host and develop our solutions freely for up to 12 months. It's crazy I know. How did they know we need them badly? Well thanks to Mr. Jeff Bezos, Its our best gift yet during this catastrophic pandemic that has killed more than 400,000 people globally and evaporated many economies especially in Nigeria.
Nonprofits are usually the first responders in crisis like these and come to aid under-served or poor people. Now they too are heartbreakingly haemorrhaging funds, caused by cancelled annual events, disappearing earned revenue, or dwindling donations due to limited movements and communications as the COVID-19 pandemics obliterates global economies and keeps people and money isolated.
The rate of Mental Health issues has surged to an outrageous rate leading to many social vices like domestic violence, rape, robberies and other human rights violations. For example, In Nigeria, the word "mental" is synonymous to "Madness" so the stigma around mental health issues prevent people from talking about them or seeking help thereby escalating the issues to an alarming rate due to the pandemic.
Nonprofits can leverage Anonifi to securely and safely tackle these issues while providing tremendous privacy for beneficiaries to avoid stigma associated with mental health issues. They can also use Anonifi to carry out virtual events and meetings simultaneously without limitation to talk time or hurting their wallets further by paying for expensive services that charge $199.9/month for 10 directors/persons to host meetings.
What it does
Basically, Anonifi is a free app the helps people and organizations make secure and unlimited video and audio conference calls and collaborate with a group of people via an end-to-end encryption and no-meeting-recording to ensure 100% privacy, safety and security.
How I built it
My team and I built Anonifi on Android Studio with Kotlin for the client application, Firebase for analytics and deployed Jitsi as backend on AWS EC2 (Encrypted EBS) to ensure that all communications are end-to-end encrypted via DTLS-SRTP with Jitsi.
Challenges I ran into
Collaborating remotely was very hard until we had Anonifi. Finding a host that was flexible, reliable and inexpensive was a nightmare until we found AWS.
Accomplishments that I'm proud of
Since finding AWS, we have deployed many solutions that have kept us and our clients above water during this devastating pandemic.
What I learned
Collaboration and trust is crucial for survival. Innovation and access is paramount for growth. Knowledge and intelligent decisions are the difference between living and dying. Capital and people is a crucial facilitator. We need them all to succeed.
What's next for Anonifi
We intend to add more productive features like payment gateways for fundraising, whiteboard for live presentations, marketplace to allow nonprofits monetize their contents, language translation, speech recognition and text-to-speech for the physically challenged to communicate virtually etc.
Built With
amazon-ec2
amazon-web-services
amazonlightsail
android-studio
firebase
java
jitsi
kotlin
xml
Try it out
github.com
play.google.com
play.google.com | Anonifi | a free, secure and unlimited video conferencing app that helps Nonprofits effectively grow their programs, training, meet with donors, collaborate with staff, and engage their beneficiaries virtually. | [] | [] | ['amazon-ec2', 'amazon-web-services', 'amazonlightsail', 'android-studio', 'firebase', 'java', 'jitsi', 'kotlin', 'xml'] | 100 |
10,255 | https://devpost.com/software/scarvi-scare-the-virus | See
https://devpost.com/software/acid-acoustic-covid-19-infection-deactivator
Built With
ai | ScarVi - Scare the Virus | See https://devpost.com/software/acid-acoustic-covid-19-infection-deactivator | ['Lalit Patel'] | [] | ['ai'] | 101 |
10,255 | https://devpost.com/software/corona-guard | Corona Guard
Home Screen
Resources Page
Contact Log Page (part 2)
Contact Log Page (part 3)
Settings Page
Contact Log Page (part 1)
NFC Scanner Station Overview
NFC Scanner Station Front View
NFC Scanner Station Side View
NFC Scanner Interface
NFC Prototype
Backend
Backend Database
Inspiration
Since December 2019, the Coronavirus pandemic labeled Covid-19 by the World Health Organization has spread to over 188 United Nations member countries infecting over 4.9 million people while causing over 300,000 deaths around the globe. Coronavirus’s high RO value of 2.5 combined with its long incubation period of up to 14 days means that the only way to control the spread of Covid-19 is to social distance. This has caused the majority of public spaces to close wreaking havoc on the global economy. To reopen the majority of the global economy safely, robust testing and tracing infrastructure is needed to prevent a new spike in Covid-19 cases and deaths.
Most countries around the world lack robust infrastructure for tracking the spread of Covid-19 letting it spread very quickly causing unexpected spikes in cases all over the world. Contact tracing is a method of tracking personal interactions in order to preemptively warn a person before they spread Covid-19 to others who they will come into contact with in the future. By tracking personal interactions before Covid-19 actually spreads, many of the risks of being in public are reduced while healthcare providers can take a proactive approach when treating suspected cases of Covid-19 potentially saving thousands of lives. All primary, secondary, and tertiary interactions are logged which allows people to get notified even if they are at a low risk of contracting Covid-19. Contact tracing also allows health care professionals to allocate limited resources like medications and vaccines to people who need them most by finding people who are at the highest risk for contracting Covid-19.
What it does
Corona Guard is a secure contact tracing app that utilizes peer to peer bluetooth communication to anonymously track the spread of COVID-19. It notifies users of daily interaction with other users of the application, gives updates regarding the number of direct, indirect, and distant interactions with people testing positive for COVID-19, and calculates the risk of having the virus. Corona Guard also features an NFC chip that users must check into before going into public spaces to ensure that the public spaces are within healthy capacity levels. Owners of these public spaces also have the option of barring people from entering their property if they have a high risk user. The app has a resources page to give the most up-to-date and accurate news and recommendations during the pandemic to prevent misinformation. All in all, Corona Guard aims to curb the spread of COVID-19 at its sources through its anonymous contact tracing and NFC system so that communities collectively can tackle the pandemic once and for all.
How we built it
The main mobile application for Corona Guard was made using Google’s Flutter SDK. Flutter is a mobile SDK that is compatible with Android Studio and Xcode letting mobile applications be compatible with both android and ios devices of any shape, size, and operating system version. Flutter enables Corona Guard to run on any modern smartphone with proper scaling and a responsive UI. Using the Flutter SDK, our team developed a responsive UI that enables users to get real time data about their risk of infection while receiving notifications if they have been in contact with someone who has tested positive for Covid-19. The app also provides links where users can get up to date information about Covid-19 spread and procedures in their respective areas. The user interface of our app was designed with the intention of giving users easy to access information while being as transparent as possible about how a user’s data is stored and used.
The backend of the app was built using Google Firebase. There were two main tables, one for users and one for the entire system. The user side had these fields: “uuids heard”, a boolean “infected” value, and a calculated “risk” percentage. Every user updates the uuids they heard to the system, and this is stored in the “events” table. This table has 3 fields as well: “uuid”, a “time” value, and the user who uploaded this value. Together, these two datatables work to send data to the Flutter frontend. Firebase gives our app the ability to adapt to a changing user base being fast and responsive with one or one billion users.
The NFC scanner we built utilizes the MIFARE NFC standard which can transmit over 1KB of data wirelessly in under a second. The scanner reads the data in blocks which each hold 16 bytes of data. There are 64 blocks meaning the scanner reads 1024 bytes of data in total. The NFC tag in the phone stores whether a person has been exposed or infected with Covid-19 in the first byte in the first block as either a 0 or a 1; 0 for negative and 1 for positive. We stored this data in the first block so that in the event the scanner gets a partial read the scanner will still be able to display a positive or negative result. Lastly, if the rest of the bytes in the block are not clear (set to 0) the scanner will read the phone’s NFC chip as invalid as the person who is scanning the phone is likely using an unsupported app. As no data is needed by the arduino microcontroller, our NFC scanner can run without an internet connection making it even easier to use for businesses of all sizes. The only potential maintenance a business would have to perform are firmware updates every few months as we continue to optimize the scanner to become faster and faster.
Industrial Scanner Design
As part of our NFC scanner, we also prototyped a sleek and industrial scanner enclosure for use in public spaces to accompany the NFC scanner and user interface. The scanner enclosure is made out of aerospace-grade aluminum and features a stylish industrial design. The user interface includes an NFC reader/writer and a large, high resolution 12" LED display.
Challenges we ran into
Some challenges we ran into while building Corona Guard was how to make it as private as possible. We initially thought of the idea to use geolocation or GPS, but many are hesitant towards giving their every location to a private company. Thus, we decided to transmit anonymous UUIDs (Unique User ID) between users in order to track which phones had contact with each other. These UUIDs are not connected to any private data such as someone's name, so we decided that this was a secure enough way for everyone to remain completely anonymous while still being able to accurately track contacts.
Accomplishments that we're proud of
The application is fully functional and is compatible with iOS 8 or newer and Android Jelly Bean, v16, 4.1.x or newer.
What we learned
We learned the fundamentals of app development and how to build a working application from the ground up. We learned how to use the Flutter SDK for the front-end UI/UX and Google Firebase for the backend.
What's next for Corona Guard
We are hopeful that this application can provide communities a tool to collectively combat the spread of COVID-19 through its accessibility and ease-of-use. Through connections with health organizations, we can provide COVID-19 testing centers with information on who to prioritize testing and give health officials valuable information to help stop the spread of the pandemic. In the future, we hope to continue expanding our knowledge of algorithms and data science techniques to make the backend of the app more efficient and scalable.
Built With
arduino
bluetooth
dart
firebase
flutter
nfc
Try it out
github.com | Corona Guard | Corona Guard is a smart contact tracing app that aims to slow the spread of COVID-19 and other infectious diseases by logging interactions between humans in a secure and private way. | ['Vikas Ummadisetty', 'Derek Xu', 'Krishna Veeragandham', 'Subash Shibu'] | [] | ['arduino', 'bluetooth', 'dart', 'firebase', 'flutter', 'nfc'] | 102 |
10,255 | https://devpost.com/software/emergency-transporter | The idea
Often we forget to take something with us when to go to office. If it is necessary item like medicine, then options before us are either go back or ask someone from home to deliver it to us.
With ride shares in place, we can ask a ride share driver to pick up these items and deliver it along the way
Other option is to use the FaceDrive foods infrastructure to pickup and deliver these items. In this way the customer can feel more secure and delivery can also be quick
What it does
The user will open FaceDrive app. He can choose one to the 2 options.
Pickup and drop by a ride share driver
Pickup and drop by FaceDrive Foods driver. This will be a premium service
Time and distance can be used for service charge calculation
Inspiration
In city of Mumbai in India, Lunch pickup and delivery service is running from 125 years, currently transferring ~200,000 lunch boxes per day. More details about Dabbawala can be found
here
. Same idea can be used to pickup and deliver anything within hours.
Implementation/Demo
This is just an Idea proposal | Emergency Transporter | John went to office to realize that he forgot his meds at home.Mike has come nearby on a ride share pickup and is going in that way.Rob delivering food nearby, can also help him.Why not connect them | ['Keerthana R.V', 'Bharath HK', 'Sharath Holla'] | [] | [] | 103 |
10,255 | https://devpost.com/software/pneumonia-covid-detector-io | What it does
Currently it classifies X-rays as Normal or Infected (Pneumonia) with 92% accuracy. Pneumonia/Normal dataset was used because the dataset was readily available online and the Pneumonia X-rays are very similar to covid-19 X-rays.
How I built it
Because the data was very limited, the X-ray images were first standardized and then augmented to produce as many copies (variant copies) as possible. This way the network could be trained far better. Speaking of the network, a convolutional neural network was implemented to pick up on key features and classify the X-rays.
Challenges I ran into
Arranging the data into it's labels and image contents
Creating batches of data
Accomplishments that I'm proud of
Successfully training the model and achieving 92% accuracy.
What I learned
Convolutional neural networks
Image Augmentation
What's next for Pneumonia(Covid)-Detector.io
Create a similar model but exactly for Covid-19 once the data becomes available.
Built With
cnn
deep-learning
kaggle
keras
machine-learning
tensorflow
Try it out
github.com | Pneumonia(Covid)-Detector.io | As testing can take up to 2 weeks, people are left with no option but to self isolate in a constant state of worry. I used AI to detect and classify X-rays as Normal or Infected.Pneumonia dataset used | ['Zafir Khalid'] | [] | ['cnn', 'deep-learning', 'kaggle', 'keras', 'machine-learning', 'tensorflow'] | 104 |
10,255 | https://devpost.com/software/coronabanned-a-wearable-corona-detection-protection-band | CATEGORY: SOCIAL DISTANCING
A wristband oximeter for COVID 19 detection and protection
ABSTRACT:
It is estimated that 80% of covid infected people are asymptomatic and could have 'silent hypoxemia' where the person does not exhibit any symptoms till oxygen levels become critically low.
https://www.medicalnewstoday.com/articles/covid-19-how-do-we-explain-happy-hypoxemia
and
https://www.deccanchronicle.com/lifestyle/health-and-wellbeing/010720/covid-induced-happy-hypoxia-is-silent-killer.html
This prevents the timely detection and treatment before onset of hypoxia and possible fatality and death. According to several studies, if the SpO2% falls below a threshold level of 90% it indicates pulmonary infection/dysfunction. To address this issue we propose a wristband oximeter to measure blood oxygen levels continuously to alert when possibility of COVID infection is present so timely medical help can be given to PROTECT the user from further deterioration. We incorporate an LED diode and piezoelectric transducer to provide audio-visual alert when user is in proximity to other individuals. This provides a DETECTION alert to other individuals and prompts SOCIAL DISTANCING to avoid getting infected by user.
Social distancing is also prompted in the user psychologically when he is continuously wearing the band and becomes aware at the SUB-CONSCIOUS LEVEL of the existence of the disease. SEEING OTHERS around him wearing the band also alerts him to the possibility of infection if he doesn't maintain effective social distance, particularly since the virus is now known to remain airborne for long periods of time.
DESCRIPTION:
CoronaBANneD - Stay safe!
A wearable corona detection/protection band.
An MIT study reveals India might see 2.87 lakh Covid cases per day by February 2021. It is imperative therefore that the spread is controlled at the earliest possible.
https://www.indiatoday.in/india/story/india-might-see-2-87-lakh-covid-cases-per-day-by-february-2021-mit-study-reveals-1698123-2020-07-07
An effective COVID19 pandemic control solution should
1) continuously monitor a person for infection
2) promote social distancing
3) reduce fatality rate
4) be automated with minimum manual intervention
5) be affordable
6) be easy to implement
7) monitor patient health even after recovery
Most COVID 19 COMMON symptoms can be recognized by the patient himself or just by visual/physical examination without the need for diagnostic equipment.
Cough, fever, tiredness, sore throat, diarrhoea, headache, loss of taste or smell, a rash on skin, discolouration of fingers or toes
However, SERIOUS symptoms like difficulty breathing or shortness of breath and chest pain or pressure need to be monitored with equipment before the disease becomes fatal. This is where the wrist oximeter is useful.
The most important metric which determines the efficacy of a disease control solution is the fatality rate. It is estimated that 70% of COVID 19 patients that succumb had existing co-morbidities. The CoronaBANned should first and foremost be provided to such people to continuously monitor their condition and prevent the onset of hypoxia by providing an early warning audio-visual alarm at low SpO2% levels. If the fatality rate can be brought down dramatically the actual impact of the pandemic on the population can be mitigated.
A finger pulse oximeter requires manual intervention and cannot be worn for continuous measurement as it is inconvenient.
A wrist oximeter can automate and CONTINUOUSLY measure the SpO2% as it can be worn throughout the day, indoor and outdoor, if necessary. Continuous measurement is important as it can alert when oxygen level begins to fall suddenly. A case in point
https://in.news.yahoo.com/bangladeshi-man-with-covid-19-dies-preliminary-cause-is-cardiorespiratory-failure-155642899.html
It would also be useful for continuous monitoring of home quarantined patients.
It would provide a solution for self monitoring by all front line Corona workers, including health professionals, police, etc. who stand the highest risk of infection since they have to come in close proximity of the public while treating them or trying to enforce Corona regulations for public safety.
Most importantly, it is NECESSARY for all individuals since there is not enough testing being done because of a shortage of test kits. It is also not possible to test an individual at regular intervals using test kits because SARS type infections can infect within a day or two of the person testing negative if social distancing and other hygiene measures are not strictly observed. This is because it is airborne and highly infectious. A wrist oximeter provides continuous monitoring/testing of the person to address this problem.
The earliest date of arrival of a vaccine is estimated to be in 2021. This device would help in preventing the spread till a vaccine arrives.
An actual case study of the method used to stop the spread in Dharavi one of the largest slums in India.
"How Mumbai's Dharavi defused the covid-19 bomb"
https://www.livemint.com/news/india/how-mumbai-s-dharavi-defused-the-covid-19-bomb-11592133188747.html
WHO recently acknowledged the success of the Dharavi Model in arresting the spread through testing and tracing.
https://in.news.yahoo.com/acknowledges-success-dharavi-model-arresting-174151062.html
The efficacy of current COVID19 tests is unreliable and often shows false positives/negatives.
The SpO2% is a test that is
1) instantaneous
2) non invasive
3) gives RELIABLE indication of infection
4) easy to implement
5) low one time cost
To quote from Wikipedia
https://en.wikipedia.org/wiki/Pulse_oximetry
Pulse oximeters are used to help with the early detection of COVID-19 infections, which may cause initially unnoticeable low arterial oxygen saturation and hypoxia. The New York Times reported that "health officials are divided on whether home monitoring with a pulse oximeter should be recommended on a widespread basis during Covid-19. Studies of reliability show mixed results, and there’s little guidance on how to choose one. But many doctors are advising patients to get one, making it the go-to gadget of the pandemic.
https://www.nytimes.com/2020/04/24/well/live/coronavirus-pulse-oximeter-oxygen.html
The cost and weight of commercial oximeters/health-bands is high because of full OLED/other displays and multiple sensors.
A $20 oximeter is possible that
1) Only measures oxygen level SpO2%
2) No expensive display except for a single red LED and a low power piezoelectric speaker
3) Has lower standby power consumption without a full display
4) Wrist wearable for continuous monitoring
5) Flashes the red LED alarm and beeps at SpO2% below 90%
It provides a real time audio visual alarm when user is in a crowd. If a user has an LED flashing, beeping band, everyone around the user will
1) immediately maintain safe distance from user
2) contact the healthcare helpline so the user is provided immediate care
A simple TextToSpeech implementation on the device could alert the user in crowds regularly
, to
1) Whether he is wearing a mask
2) Whether he has taken immunity building supplements and prophylactic preventive medication
3) Whether he is maintaining social distancing
With large scale manufacture of the device it is possible to drive down the price point so it is affordable for a majority of the population.
FUTURE PROOF DEVICE:
All SARS type infections can benefit from the use of a wrist oximeter. They all cause pulmonary distress that can become fatal.
A case in point is the emergence of an new 'unknown pneumonia'
https://www.biotecnika.org/2020/07/unknown-pneumonia-in-kazakhstan-chinese-embassy-warns-citizens/
Current studies have shown that monitoring of patient health after recovery for symptoms is important. Shortness of breath occours even after recovery and can be monitored with the wrist oximeter
https://www.ndtv.com/world-news/covid-19-causes-far-more-symptoms-than-first-suspected-2260587
Also a recent UK Study shows that immunity to COVID 19 could be lost in months even for recovered patients. It also raises uncertainty about whether a vaccine would work effectively
https://in.news.yahoo.com/immunity-covid-19-could-lost-163154231.html
The wrist oximeter would help alert people to infection who have lost immunity over a period of time and are re-infected.
POSSIBLE IMPLEMENTATION WITH IMAGES:
A research paper from the University of Toronto implements a wrist band oximeter with high reliability, for manufacturers and developers to implement
https://arxiv.org/pdf/1906.07545.pdf
FINAL THOUGHTS:
Most pandemic control solutions rely on the user having a mobile phone and internet accessibility. In developing countries, mobile and internet penetration is generally low and a standalone embedded device is preferable as a first line of defense. The above band suits this purpose and can be made available to a majority of the population at low cost, without the need for mobile and/or internet accessibility.
If mass produced the cost per unit can be made affordable for the masses and it could SUPPLEMENT a mask as an ESSENTIAL ITEM that all people should wear during the pandemic. It would ALERT 80% of infected people who are asymptomatic and unaware that hypoxia can set in without any other symptoms. Delay in first aid and hospitalization after hypoxia sets is the major reason why fatality rate is high. It would help in early treatment and reducing the fatality rate which is the most important parameter to consider in pandemic control.
REFERENCES:
Post Infection treatment:
https://timesofindia.indiatimes.com/india/health-ministry-revises-clinical-management-protocol-for-covid-19/articleshow/76776649.cms
https://www.indiatvnews.com/news/world/tocilizumab-may-improve-survival-in-sickest-covid-19-patients-scientists-say-643832
Clinical Management Protocol:
https://www.mohfw.gov.in/pdf/ClinicalManagementProtocolforCOVID19.pdf | CoronaBANneD - A wearable corona detection/protection band | A wrist oximeter band that provides audio-visual alarm to detect possible COVID19 infection and to protect others from infection. | ['Kurosh F'] | [] | [] | 105 |
10,255 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-9mrdgx | Privacy preserving person face detection at home
Plug and Play AI device discovery
Home Page
Person detection indoors
Person detection outdoors
Inspiration
COVID19 isolated at home many of us, including our elderly parents and grandparents. Not being able to check on them regularly elevates the risks that they are exposed to such as falls, gas leaks, flooding, fire and others.
What it does
Ambianic.ai is an end-to-end Open Source Ambient Intelligence project that removes the stigma associated with surveillance systems by implementing privacy preserving algorithms in three critical layers:
Peer-to-Peer Remote access
Local device AI inference and training
Local data storage
Ambianic.ai observes a target environment and alerts users for events of interest. Data us only available to homeowners and their family. User data is never sent to any third party cloud servers.
Here is a blog post that goes into the reasons why we started this project:
https://blog.ambianic.ai/2020/02/05/pnp.html
And here is a technical deep dive article published in WebRTCHacks. It clarifies that it is absolutely possible to build a privacy preserving surveillance system, despite popular cloud vendors making us believe that all user data belongs safely on their cloud servers:
https://webrtchacks.com/private-home-surveillance-with-the-webrtc-datachannel/
How we built it
Ambianic.ai has 3 main components:
Ambianic.ai Edge: a Python application designed to run on an IoT Edge device such as a Raspberry Pi or a NUC. It attaches to video cameras and other sensors to gather input. It then runs inference pipelines using AI models that detect events of interest such as objects, people and other triggers.
Ambianic.ai UI: A Progressive Web App written in Javascript using Vue.js and other front end frameworks to deliver an intuitive timeline of events to the end user.
Ambianic.ai PnP: A plug-and-play framework that allows Ambianic UI and Ambianic Edge to discover each other seamlessly and communicate over secure peer-to-peer protocol using WebRTC APIs.
Challenges we ran into
Challenges include selecting high performance, high accuracy and low latency AI models to detect events of interest on resource constraint edge devices.
Another challenge is taking into account user local data to fine tune AI models. Pre-trained models can perform reasonably well, but they can be improved with privacy preserving federated learning on unique new local data.
Accomplishments that we're proud of
Ambianic.ai has been in public Beta for several weeks helping a number of users in their daily lives. Some users report success in keeping an eye on their elderly family members:
https://twitter.com/mchapman671/status/1230931722650423299
What we learned
Although the project sets ambitious goals, there seem to be sufficient enabling Open Source frameworks and community momentum to drive the ongoing success.
What's next for Remote Elderly Home Care via Privacy Preserving Surveillance
We need to work on these major areas:
Recruit volunteers in the home care community to test the system and provide feedback
Select more models to address open use cases such as fall detection, gas leaks and others
Work on implementing Federated Learning infrastructure to fine tune initial pre-trained models.
Built With
javascript
pwa
python
raspberry-pi
tensorflow
webrtc
Try it out
docs.ambianic.ai | Remote Elderly Home Care via Privacy Preserving Surveillance | COVID19 isolated at home many of us, including our elderly family members. Left unattended they are prone to risks such as falls, gas leaks, flooding, fire and others. | ['Björn Kristensson Alfsson', 'Yana Vasileva', 'Ivelin Ivanov'] | ['Best EUvsVirus Continuation', 'Best Home Care Project', 'Best Platform'] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow', 'webrtc'] | 106 |
10,255 | https://devpost.com/software/castme | Main Menu
Motion capture streaming demo
Female avatar professor teaching
Male Avatar professor teaching
presentation screen
view from the back
View from the middle
Customize Character
castme.life website
Splash Screen
Inspiration
Video lectures are present in abundance but the mocap data of those video lectures is 10 times ahead in the form of precise data. High quality and a large amount of data are one of the requirements of best argmax predicting ML models, so we have used here the mocap data. Despite the availability of such promising data, the problem of generating bone transforms from audio is extremely difficult, due in part to the technical challenge of mapping from a 1D signal to a 3D transform (translation, rotation, scale) float values, but also due to the fact that humans are extremely attuned to subtle details in expressing emotions; many previous attempts at simulating talking character have produced results that look uncanny( two company- neon, soul-machine). In addition to generating realistic results, this paper represents the first attempt to solve the audio speech to character bone transform prediction problem by analyzing a large corpus of mocap data of a single person. As such, it opens to the door to modeling other public figures, or any 3D character (through analyzing mocap data). Text to audio to bone transform, aside from being interesting purely from a scientific standpoint, has a range of important practical applications. The ability to generate high-quality textured 3D animated character from audio could significantly reduce the amount of bandwidth needed in video coding/transmission (which makes up a large percentage of current internet bandwidth). For hearing impaired people, animation synthesis from bone transform could enable lip-reading from over-the-phone audio. And digital humans are central to entertainment applications like movies special effects and games.
What it does
Some of the cutting edge technologies like ML and DL have solved many problems of our society with far more better accuracy than an ideal human can ever do. We are using this tech to enhance our learning procedure in the education system.
The problem with every university student is, they have to pay a big amount of money for continuing to study at any college, they have to interact with the lecturers and professors to keep getting better and better. We are solving the problem of money. Our solution to this problem is, we have created here an e-text data to human AR character sparse point mapping machine learning model to replace the professors and use our ai bots to teach the same thing in a far more intractable and intuitive way that can be ever dome with the professors. The students can learn even by themselves AR characters too.
How we built it
This project explores the opportunities of AI, deep learning for character animation, and control. Over the last 2 years, this project has become a modular and stable framework for data-driven character animation, including data processing, network training, and runtime control, developed in Unity3D / Unreal Engine-4/ Tensorflow / Pytorch. This project enables using neural networks for animating character locomotion, face sparse point movements, and character-scene interactions with objects and the environment. Further advances on this project will continue to be added to this pipeline.
Challenges we ran into
For Building, first of all, a studio kind of environment, we have to collect a bunch of equipment, software, and their requisites. Some of them have been listed following.
Mocap suite- SmartSuite Pro from
www.rokoko.com
- single: $2,495 + Extra Textile- $395
GPU + CPU - $5,000
Office premise – $ 2,000
Data preprocessing
Prerequisite software licenses- Unity3D, Unreal Engine-4.24, Maya, Motionbuilder
Model Building
AWS Sagemaker and AWS Lambda inferencing
Database Management System
Further, we started building.
Accomplishments that we're proud of
The thinking of joining a virtual class, hosting a class, having a realtime interaction with your colleagues, talking with him, asking questions, visualizing an augmented view of any equipment, and creating a solution is in itself is an accomplishment.
Some of the great features that we have added in here are:
Asking questions with your avatar professors,
having a discussion with your colleagues,
Learning at your own time with these avatars professors
and many more. some of the detailed descriptions have been given in the submitted files.
What we learned
This section can be entirely technical. All of the C++ and Blueprint part of a Multiplayer Game Development.
We have started developing some of the designs in MotionBuilder, previously we have been all using the Maya and Blender.
What's next for castme
1. We are looking for a tie-up with many colleges and universities. Some of the examples are Galgotiah University, Abdul Kalam Technical University (AKTU), IIT Roorkee, IIT Delhi.
2. Recording an abundance amount of the lecture motion capture data, for better training our (question-answering-motion capture data) machine learning model.
Try it out here:
Intro Demo (2 min):
https://youtu.be/Xm6KWg1YS3k
Complete Demo:
https://youtu.be/1h1ERaDKn6o
Download pipeline here:
https://www.castme.life/wp-content/uploads/2020/04/castme-life%20Win64%20v-2.1beta.zip
Documentation to use this pipeline:
https://www.castme.life/forums/topic/how-to-install-castme-life-win64-v-2-1beta/
Complete source code (1.44 GB):
https://drive.google.com/open?id=1GdTw9iONLywzPCoZbgekFFpZBLjJ3I1p
castme.life:
https://castme.life
More info
For more info on the project contact me here:
gerialworld@gmail.com
, +1626803601
Built With
blueprint
c++
php
python
pytorch
tensorflow
unreal-engine
wordpress
Try it out
castme.life
www.castme.life
github.com
www.castme.life | castme | We are revolutionizing the way the human learns. We uses the Avatar Professors to teach you in a virtual class.Talk to your professors,ask questions,have a discussion with your colleagues in realtime. | ['Md. Zeeshan', 'Rodrixx Studio'] | ['The Wolfram Award'] | ['blueprint', 'c++', 'php', 'python', 'pytorch', 'tensorflow', 'unreal-engine', 'wordpress'] | 107 |
10,255 | https://devpost.com/software/again-vui0w1 | Inspiration
Few days before the start of the quarantine in Morocco, we were walking down the street and we saw a homeless guy trying to find food. Going back home, we were wondering what can this guy do if the quarantine gets imposed on us, Moroccans. A few days later, that was exactly what happened: we were quarantined. Thinking about that guy we saw the other day, we started brainstorming solutions that we can build as computer science passionates to make him and many others in the same situation as he finds a shelter especially during this tough time when they can be easily infected by the virus, as likely as easily spreading it. After seeing Covidathon, we believed that this is our chance to make our solution reach more people and to take the first step in making an impact.
What it does
Again is a solution that aims at securing shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators.
The solution also creates jobs for people who have lost their jobs by being applications' reviewers (more details about this below).
To secure shelter for homeless people, the application allows users to create accounts as an association, a house owner, or an applications' reviewer. All of the different types of users enter useful information about themselves when registering (details about the registration information required from each type can be found on the demo site):
As a house owner: anyone who possesses a house or multiple houses can donate them via the application by filling a house donating application. The application asks for information about the house/s that the user would like to donate. This information includes the location of the house, the area, but most importantly a document proving that the user owns that house. The purpose of this proof is to reduce the wasted time after matching an association with a user that does not really possess the house. This proof document will be processed by an AI system that will either validate it or not. If the document is validated, it will be available to applications' reviewers to match it with an association. If not, the donor’s application will be withdrawn. After the donated houses have been matched with an association or more associations (if there are many houses that a lot of associations can use), the contact of the donor is given to the associations so that they coordinate to finalize the donation process.
As an association: after registering in the application, associations can submit applications asking for matching with a donor. An approximate number of homeless people who will benefit from the donation should be specified in the application. It is then the job of applications' reviewers to review the application and decide on a match with a donor.
As an application reviewer: applications’ reviewers are people recruited through the application in order to review the associations’ applications and match them to house/s donors. To be an applications' reviewer, one must apply to the job through the website (applications are available in case of need when the amount of applications is too much). Applicants must provide their personal information, but most importantly, proof of losing their job because of the pandemic. This proof can be of any kind: a screenshot of an email of firing (the email should be forwarded later to make sure it comes from a recruiter, a document..). This proof of losing a job, plus the first-come, first-served basis, and the description of the need in the application are the factors that the admins are going to rely on when assessing applications. Each applications' reviewer will get associations’ applications on a weekly basis. Their job is to assess the need for associations and match them with house donors in the same locations. They also have to distribute the houses in an optimal way taking the need and the impact into consideration. Applications reviewers get paid from donations to the web application. These donations have nothing to do with the house/s donations, they are monetary donations that can be done through the web application to a specific bank account for this purpose. Anyone can donate including people not registered under any type in the application. More on how application reviewers get paid in the section below.
Payment Policy
Applications reviewers will get paid from donations. Since donations are uncontrollable, our team came up with an adequate solution. Applications reviewers will get a token for each application reviewed and thus an association matched with a donor. The value of a token changes on a weekly basis depending on the donations received. Here is a hypothetical scenario: we have 3 applications' reviewers who have reviewed 10 applications each, this means that each applicant has earned 10 tokens, making 30 tokens in total. The amount of donations received in this week is 300 $, implying that a token is worth 10 $. In this case, each reviewer will receive 100$ for this week. However, this method is not good if the amount of donations for a certain week is very high, let’s suppose that in the same previous scenario, the amount of donations is 30000 $, then a token will be worth 1000$. This also means that an applicant will earn 10000 $ for a single week. This might be not fair for other applicants who will join in the coming weeks, and when the donations will be very much lower. To solve this problem, we decided on having a maximum amount that a token cannot exceed so that if the amount of donations is high, we save it for later weeks.
Going back to our scenario, if we set the maximum worth of a token to be 20$, and having 30 tokens to issue, we will spend 600 $ and save 29400$ for upcoming weeks.
Important notes:
Before associations submit their applications, they have to agree to some terms and conditions. An important condition is that the associations should engage the beneficiaries in society by making them help either by doing a job, volunteering or helping other homeless people. The goal of the application is not only to find shelter for these people but to try to engage them in society especially during these tough times when we all have to unite.
Link to the document about using AI in Again:
[
https://docs.google.com/document/d/1RNNpGf3MIhp-lksVtGzXkH7Tb91Ilw4gRw7AJmu27bA/edit?usp=sharing
]
How we built it
To build our web app again, we (team members) divided the work into three parts:
The front-end part (Mohamed Moumou): This part consisted of designing each web page in the web app. The story of AGAIN and all the scripts in the web app. Also, building the actual web app front end using the react framework.
The back-end part (Ouissal Moumou): This part consisted of designing the database and building the actual back-end of our web app using the express.js framework, MongoDB(for the database), and APIs.
Deployment (Ouissal Moumou & Mohamed Moumou): We used Heroku to deploy either the back-end and the front-end app.
Accomplishments that we're proud of
The team of Again is very proud that he is thinking about homeless people when everyone is thinking about the problems of the homeful ones. It does not mean that homeful people’s problems are not urgent, but it means that there is a huge part of society that struggled and now struggling more because of the COVID-19 outbreak that needs urgent help and re-integration. Another accomplishment we are proud of is that our idea is providing jobs for people losing their jobs.
What's next for Again
1- Implementing AI solutions in our App,
2- Adapting the services offered by the app to every country's laws,
3- Make our web app available in many languages (Arabic, French...).
Helpful hints about running the application in our demo site:
http://againproject.herokuapp.com/
If the page returns an error message from Heroku, just refresh the page and it will work.
Here are some login credentials for quick testing of the application:
For an association: **
email:
tasnimelfallah@gmail.com
password: Tasnim123
*
For a house/s donator: *
email:
mohamedjalil@gmail.com
password: yay yay
*
For an application reviewer: *
email:
badr@again.com
password: Badr123
**The information and metrics shown on our app are fictional.
Built With
heroku
javascript
mongodb
node.js
react
rest-apis
uikits
Try it out
againproject.herokuapp.com
againbackend.herokuapp.com
github.com
github.com
docs.google.com | Again | Again is a solution that aims at securing a shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators. | ['Mohamed MOUMOU', 'Ouissal Moumou'] | ['The Wolfram Award'] | ['heroku', 'javascript', 'mongodb', 'node.js', 'react', 'rest-apis', 'uikits'] | 108 |
10,255 | https://devpost.com/software/sistema-de-historico-de-pacientes-publicacao | mapa de telas
Desenvolvemos um projeto para área de saúde pública que visa atender a população mais carente. O projeto trata da gerência dos dados históricos de pacientes. A ideia é desenvolver um Data Lake (um repositório de dados estruturados, semi-estruturados e não-estruturados) que armazene os dados dos pacientes. A vantagem do Data Lake é que é possível associar a dados estruturados (um banco de dados existente), dados não estruturados como imagens de um exame, etc. Além de ser possível aplicar técnicas de aprendizado de máquina sobre esses dados. É um ambiente de integração de dados sem todo o custo de bancos de dados multidimensionais como Data Warehouses e Data Marts. A partir desse Data Lake, o plano é desenvolver um sistema que seja capaz de gerenciar/consultar os dados. Resumidamente um banco de dados atualizado, confiável, seguro e gerenciado com dados e informações pelos pacientes e seus médicos. O fato de usar a tecnologia de Data Lake faz com que esse projeto possa ser utilizado em qualquer lugar do mundo da mesma forma. Finalizando podemos usar a saúde pública nos controles de doenças de forma coordenada mundialmente e ajudar diretamente quem mais precisa nos momentos de pandemia além de poder projetar futuros surtos de doenças através de inteligência artificial e modelos de projeção matemáticos.
Built With
data
flutter
Try it out
xd.adobe.com | Sistema de Historico de Pacientes | Leve sua vida consigo onde for! | ['Jose Alexandro Acha Gomes'] | [] | ['data', 'flutter'] | 109 |
10,257 | https://devpost.com/software/m-i-u-mobile-isolation-unit | This is the layout of the MIU.
A Clear Problem Statement
Hospital bed space is a critical factor in the fight against COVID-19. As more and more people are becoming infected by the coronavirus this has become a very important resource. This problem is already being felt in Cebu with hospitals already overflowing with patients, and some are dying while waiting for room availability.
The Cebu scenario can easily happen in the cities and towns of Mindanao; it may only be a matter of time. Thus, there is an urgent need to find an alternative, sustainable, and viable solution to the scarcity of hospital bed space.
Identified Challenge Area
The identified challenge area is parts of Mindanao that have COVID-19 cases such as Cagayan de Oro, Davao, and neighboring towns.
Inspiration
As a team, we were inspired to, first and foremost, help the patients infected with COVID-19. We found our inspiration in certain hotels located in Bantayan Island that converted container vans into hotel rooms.
Target Users/Audience
The target users are COVID-19 patients.
What is the proposed solution?
Our proposed solution is the MIU (Mobile Isolation Unit). Container vans will be converted into isolation units that will house COVID-19 patients. The container van will be converted into the following ways:
The top of the vehicle will be replaced by a nipa hut for insulation and roofing to make it cool. This will also eliminate the use of air conditioners which will further spread the virus. Placing solar panels atop the hut is also possible to provide basic electricity and make it more sustainable.
A sliding door will serve as the entrance. There will be screen windows as well for good ventilation.
Inside, there are four rooms, all separated by metal walls. There, COVID-19 patients will be housed for as long as they have the illness.
An extended section of the MIU will serve as a bathroom. This will be from a 20-foot container adjoining the main 40-foot container.
The furniture inside the MIU will be crafted by local businesses as a way to assist them in the midst of the pandemic. Local and indigenous materials will be used in the interior to support local products.
Relevance
This solution is relevant because it is both urgently needed and sustainable. It offers a solution for the question of where COVID-19 patients can go if hospital space is filled up. The MIU is also not a "one-time-use" solution as there are still many possibilities for usage after COVID such as housing centers, police outposts, and so much more.
How we built it
We built the prototype for the MIU on our laptops, particularly on the website and app Minecraft and Room Planner, respectively.
Challenges we ran into
Initially, we had challenges trying to come up with a unique and viable solution. After we all decided on a solution, we encountered some problems regarding the design of the MIU.
Accomplishments that we're proud of
We are proud of our work as a team, especially considering the fact that we had a limited time to think of a viable solution. We are also proud of the fact that we were able to come up with a solution that is sustainable and able to make use of what was originally unused amidst the COVID-19 pandemic.
What we learned
Through our teamwork, we became more knowledgeable about COVID-19, specifically on how it can truly affect people and what people can do to repel it. We also learned how to work better as a team despite challenges and various technical difficulties.
What's next for M.I.U. (Mobile Isolation Unit)
We members of Team MIU sincerely hope that this solution will be considered viable enough to be picked as a way to further help the people of Mindanao in the healthcare area. | M.I.U. (Mobile Isolation Unit) | We, Team 117, offer a sustainable solution for the problem of lack of hospital space. Our solution is the MIU, a Mobile Isolation Unit that will serve to house COVID-19 patients. | ['Yza Alagon', 'Jullianne Camay', 'Aldrienne Cuevas', 'Zedekiah T. Narvasa'] | ['Highlights'] | [] | 0 |
10,257 | https://devpost.com/software/tindagat-ph | Tindagat.ph Solution Framework
Tindagat.ph Team Members
Tindagat.ph Purpose and Objectives
Fisher from Kabalasan, Zamboanga Sibugay. Photo from Rare.
Fishing community from Kabalasan, Zamboanga Sibugay. Photo from Rare.
Fisher and kids from Kabalasan, Zamboanga Sibugay. Photo from Rare.
Kapunungan sa Gagmay ng Mangingisda sa Concepcion (KGMC). Photo from Rare.
Fishers from Kabalasan, Zamboanga Sibugay. Photo from Rare.
Inspiration
WHY
Recently we interviewed a municipal fisher from Mindoro, Kuya Jhun, who had a small fishing crew of three men including him. Their catch for that day, which he considered normal, was worth P800.
Considering their investment costs to cover fishing inputs: ice, fuel, fishing gears, and marine engine parts, their profit margin was a little over PhP500 which they still had to split into three.
With a daily take home of PhP180 and working six times a week, these fishers can only earn PhP5,000 a month. What quality of life can you provide a family with this small amount?!
These small-scale fishers have been the most disadvantaged sector among the actors in the fisheries value chain. This has been despite the fact that they have been providing significant contribution to the fisheries industry and yet, they end up receiving a disproportionately low percentage of economic value in the value chain compared to other players, such as middlemen traders. Based on a report by Rare Philippines on the Value Chain Analysis of Identified Premium Species in Global Development Alliance (GDA) Project Sites, there are wholesalers or traders than can earn as much as P37,000 a month.
According to FAO (2020), the COVID-19 pandemic has shaken the entire seafood industry in the Philippines. The small-scale fishers have lost their access to the market, no longer able to transport and sell their catch to their former buyers. They have been forced to sell their catch just within their community for less than its market value. Supposedly, their day’s catch should be able to provide for the daily needs of their families; hence the fishers’ prospects have become bleak due to their lessened daily income.
In Mindanao, a fishing association composed of 221 fishing households in Barangay Concepcion, Kabasalan, Zamboanga Sibugay, have shared with the group that beyond their limited access to the market, they are also experiencing difficulty in accessing fishing inputs such as fuel and fishing gear (hooks, nets, etc.). Consequently, they are not able to fish daily anymore. They miss fishing opportunities and lose the income that further increases the risks of poverty and hunger.
HOW
They say that we are only as strong as our weakest link. Our group believes that in order for us to move forward and strengthen resilience in the fisheries industry, we must innovate the value chain and put our small-scale fishers in a better position to succeed.
Despite the popular use of social media commerce or the attempts of various agri-tech e-commerce platforms to help sell fish catch from communities, there has not been one sustainable innovation that has successfully engaged the tech-deprived fishers to be part of a solution. The opportunity and technology exist - a digital platform could connect the fishers closer to consumers, skipping several layers, for more resilient transactions we can rely on even during times of crisis. However, the barrier that we must solve first is the lack of empowering tech features that can enable simple fishers to participate in e-commerce firsthand. If we are able to do so, then the digital ecosystem for the fisheries industry can start to develop and mature.
When successful, large amounts of data from the platform could be generated which could help industry officials, local and national authorities make relevant and timely decisions thus strengthening the industry’s resiliency to unexpected disruptions.
What it does
Our Proposal
Our initial plan is to develop a direct fisher-to-institution online marketplace to initiate the digital capabilities of the value chain which small-scale fishers participate in. This platform is anchored on an analog-to-digital feature that enables community fish catch consolidators to upload aggregated fish goods to the e-commerce platform.
Additionally to address the lack of stable access to fishing inputs, the same platform and the analog-to-digital feature can be used by the consolidators to order fuel and fishing gear that their fishers need. Tindagat.ph will provide and deliver the orders in a way that ensures cost-efficiency and convenience.
We hope to establish the necessary groundwork towards a more equitable position for the small-scale fishers in the value chain through connecting them closer to retailers and institutional buyers, alongside the introduction to more efficient payment transactions.
Eventually we are hoping to lead this towards a vision of a more comprehensive, easily accessible and usable online platform that empowers small-scale fishers, one that:
(1) connects with retailers and consumers directly and facilitate fair financial transactions between them;
(2) forms a community which fishers can leveraged in finding financial opportunities to support them and in influencing government’s fishery policies and;
(3) enables them to be agents of change in fish sustainability tracing efforts.
Unlike the fragmented set of agencies supporting the fish industry whose priorities lie in too diverse aspects, we put focus on empowering the marginalized small-scale fishers who potentially can significantly impact our nation on social, economic and ecological levels.
How I built it
We were able to leverage the contacts of the Bureau of Fisheries in Region 6 and facilitate a bulk purchase of fresh fish between a consolidator and a municipality distributor during this quarantine period - successfully leaving out several layers of traders within a normal value chain. This serves as proof of the opportunity. The economic value saved from taking out layers of traders were redistributed between the transacting parties. Moving forward, our goal is to be able to comprehensively map out the economical value redistribution in the value chain that can arise from our proposed innovation.
At the moment, we have a prototype that enables hands-on participation of fisher community consolidators in posting aggregated fish catches for sale in a B2B online marketplace.
Challenges I ran into
Constraints to Overcome
Inability to visit locations of interests due to the quarantine
Limited access and experience of consolidators and fishers to the internet, computer, mobile devices, and other digital tools
Limited resources of partner organizations and associations in the communities
Fragmented and limited sources of information about supply and demand across the different regions and municipalities
Limited experience and knowledge in implementing logistics and financial services
Accomplishments that I'm proud of
Tindagat.ph was a finalist at the Food Security track of BAYANIHAN@AIM: Restarting Philippine Business and Society after COVID-19 last May 20, 2020.
Despite the limitations brought about by the health pandemic, we were able to test our idea leveraging on the relationships we have on the ground. The partnership with the local government units (LGUs), Rare and BFAR has been very helpful in data gathering and conducting tests on site. The said partnerships are also giving way to identifying the available logistics and financial services on the site that the project can utilize.
To address the limited access and experience of consolidators and fishers to digital tools, we are on the process on developing a tech product that these actors can easily adapt. We have already developed an app to convert the consolidator forms into digital data and already under usability testing
What I learned
Realizations
When we are able to capture data directly from fishers and consolidators, we make traceability more possible. Buyers in our platform can get information about the fish goods they buy. They can be informed about the fishing community where the products came from, along with background details of the consolidator and the fishers. We can also match the information with illegal or over fishing incidents data of the community’s area to be able to indicate the probability of the fish goods being caught using sustainable practices.
The accounts of fishers and their corresponding transaction records allow them to develop financial profiles which can later be leveraged on for financial opportunities (i.e. loans and financing). Additionally, the transparency and accessibility of supply and demand information could lead to efficient distribution of fish goods among municipalities.
What's next for Tindagat.ph
With the help of Rare (international non-profit NGO), we are able to currently test the concept in Bantayan Island, Cebu. We plan to continue developing the e-commerce platform and onboard initial institutional buyers in the area. Parallel to this, our group intends to conduct trading of fish using offline operations to gain more insights that we can incorporate in the solution.
In order to further define the gaps, we also plan to evaluate the supply chain using the Lean methodology guided by one of our mentors, Prof. Jose Decolongon of the Asian Institute of Management.
We'd like to apply our solution in Kabalasan, Zamboanga Sibugay with the help of Hack-Bang's network.
Guided by our Hack-Bang mentor Redge Rafols, we plan to tackle the following challenge - how do ensure that the actors in the marketplace do not take advantage of the fishers? We are exploring solutions that involve: (1) SMS informing the fishers of their entitled amount from consolidator sales and (2) providing system price brackets as guides to pricing goods in the platform, based on DTI and BFAR.
To address the issues on the limited capability and access of consolidators to the technology, we plan to partner with academic institutions in the municipality, specifically with their STVEP (Strengthened Technical-Vocational Education) Program and train the on-boarded consolidators.
To help increase the financial resilience of the fishing household, part of Tindagat's plan is to incorporate in the platform the "auto-savings" or patronage refund. Based on the percentage of the catch the fisher was able to sell through the platform, it will be automatically generated by the system and can only be accessed at the end of the month or in case of emergency.
Built With
flutter
shopify | Tindagat.ph (Team 122) | Fresh Fish. Fair Market. Tindagat.ph is a fisher-to-institution online marketplace to develop digital capabilities of the value chain small-scale fishers participate in. | ['Redge Rafols', 'Redge Rafols', 'Mark Armand Sazon', 'Allan Carlos Apelo', 'Ma Flora Monica Belinario'] | ['Highlights'] | ['flutter', 'shopify'] | 1 |
10,257 | https://devpost.com/software/future-padala | Logo
Loading screen
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Delivery
Classroom
Contacts
Clear Problem Statement
Students and teachers encounter difficulties with distance learning due to the unstable or lack of internet connection, which provides struggle towards teachers in delivering their lessons.
Identified Challenge Area
Some students cannot attend online classes, this allows them to miss out on the modules and required homework posted online, making it hard to catch up.
Inspiration
Our inspiration is the heart and the will of our fellow Filipino students that want to keep studying despite all the difficulties that they are going through.
Target Users/ Audience
The target audience is the teachers and the students that could benefit from this app- those who have unstable internet connections and have a hard time uploading files to pass. Also, the teachers who want to secure their students’ education.
Proposed Solution
Our proposed solution is an app that provides a delivery service that takes school work from the teachers to the students and back.
Why is it Relevant?
It is relevant today because of the country’s current condition. Due to the pandemic, people under twenty-one are not permitted to go outside of their homes, thus forcing the student to distance learning. However, some students do not have the means of participating in online classes. Our delivery service would provide these students the opportunity to continue their education despite not having stable internet or going to school.
How did We Build it?
We were able to build the idea of bringing homework to the students through conceptualization.
Accomplishments we're proud of
One of our proudest accomplishments is how we have worked as a group to put together an idea that could change the future of distance learning.
Challenges we encounter
One of the challenges we faced as a group was who we were serving. We debated whether we were to serve the students and teachers that have an easy internet connection and make a system that benefits them, or a system that serves any student or teacher so that no one gets left behind or achieving their future.
We concluded that those with Wi-Fi are already in a good place, and all they have to do is make the most out of the resources that they already have. But, those that struggle despite all their hard work deserve a chance to be a part of a brighter future.
What did we learn?
App development is difficult and there are many flaws to cover up.
What Technology did we Use
Laptop
Try it out
N/a | Future Padala (team hackbang 115) | Team Hackbang 115 presents FuturePadala: an app that helps students to adapt to online education by letting teachers deliver lessons and homework and vice versa while providing jobs to the unemployed. | ['Yna Gonzales', 'Dawn Dy', 'johanncabatingan', 'jd_alcoma', 'Ron Jason Bonsol'] | ['Highlights'] | [] | 2 |
10,257 | https://devpost.com/software/coloveboration-compassionate-communities-colove | CoLoveboration: Compassionate Communities (CoLove)
HackBangPH Team 111
Problem Statement:
Civic organizations provide humanitarian assistance to individuals, groups, other organizations, and institutions that are less fortunate and in need. They address certain concerns that the government is unable to answer. In Mindanao, civic organizations are able fill the void most especially in the hinterland and far-flung coastal communities. They are able to provide basic necessities, health services, and address needs specific to their target beneficiaries. Unfortunately, because of the pandemic affecting us and the restrictions placed because of it,
civic organizations and other like minded groups are now limited in their interactions with their beneficiaries
and thus are
unable to determine who needs the most help; establish what needs necessitate immediate action; establish an appropriate course of action in addressing the need; and, plan the allocation of resources to ensure that help is really reaching those that need it the most
.
Identified Challenge Area:
The main challenge area
for civic organizations to be able to perform their mission as servants to humanity
is the lack of platform that would
bridge the gap between them and the people that require their help
without having to go through bureaucratic red tape that is prevalent when trying to address said needs through government agencies.
Inspiration:
Hackbang Team 111 is comprising of individuals that are all members of a civic organization, the Junior Chamber International or the Jaycees. They are members of JCI Kagayhaan Gold, a local chapter of JCI in Cagayan de Oro City. They themselves experienced how difficult it is to conduct community projects at these trying times and how challenging the process is when offering assistance through government agencies. As members of a civic organization, they know the frustrating feeling of wanting to help but is unable to because of the limitations due to the pandemic.
Target Users/Audience:
Civic Organizations
Beneficiaries specifically groups, other organizations, institutions, and communities in distress
Business Sector
What is the Proposed Solution?
In one of their online meetings, the members of JCI Kagayhaan Gold, specifically those who are part of Hackbang Team 111, ponder upon the idea of creating a platform similar to dating apps that would match prospective benefactors with targeted beneficiaries. Thus CoLoveboration: Compassionate Communities (or CoLove) was born.
Stage 1: Addressing Immediate Needs
JCI believes in following a particular process in the conduct of projects. This involves carrying out a survey to
establish needs
, analyzing the data gathered from that survey to
determine the course of action and the allocation of resources
, and the conduct of an evaluation after the implementation of the project to
establish if the need was addressed properly and what further actions are required
. Other civic organizations follow a similar process when conducting community projects.
• Survey
The pandemic has made it quite difficult for civic organizations to do all of the things listed above. With CoLoveboration, beneficiaries such as orphanages, home for the elderly, mental and penal institutions, schools, and communities can enroll themselves (or be enrolled by a partner civic organization) and
provide the necessary information needed in order to help civic organizations determine what they can do to help
.
• Analysis
The platform aims to
match a beneficiary with a civic organization that has the resources to address their needs the best
. Partners will be able to go through the database, determine which beneficiary they are able to assists with the resources they are able to provide, review previously conducted projects by other organizations for the targeted beneficiary, and determine how best to conduct the project.
• Evaluation
Once needs are addressed, the benefactor and the beneficiary updates the app to help others evaluate if needs have been addressed already, if there is a necessity to revisit the beneficiary, or whether there are other needs that require solutions. By ensuring that there is some form of evaluation, we are able to
ensure that resources are managed properly and we are able to allocate said resources to others that may need them
as well.
Stage 2: Helping Local Businesses
In the long run, CoLoveboration also aims to link not only civic organizations to the beneficiaries but also to like-minded individuals and groups in the business sector (most especially the local businesses). If they so choose, benefactors can link with a partner business who can supply the needs for them. In this manner, we are also able to help businesses and at the same time, they are also able to contribute to their communities.
Stage 3: Providing Developmental Opportunities
Lastly, JCI believes in providing developmental opportunities. In order for communities to have ownership of their own growth, CoLoveboration will also feature an option for the communities to sell their products and for civic organizations to act as patrons for these products. Also, if so desired, civic organizations may also offer skills training to these communities. Therefore, the community is able to actively contribute to their development and thus eliminate the idea of this as a ‘hand out’.
Why is it relevant?
CoLoveboration is relevant because it will help civic organizations determine the following:
Who needs help (a. Who needs it the most; b. Who needs it posthaste)
What kind of help they need (a. Essential needs such as food, clothing, new roof; b. Secondary needs such as electric fan, microphone)
How to allocate resources in such a way that it is maximized
Ultimately, in the spirit of sustainability, CoLove also aims to help:
The business sector most especially local and small businesses by providing a platform for them to generate income by partnering with benefactors as their suppliers.
The communities and beneficiaries by providing them with developmental opportunities to empowering them and give them ownership of their own growth. | CoLoveboration: Compassionate Communities (CoLove) | With the restrictions imposed because of the Covid-19 pandemic, CoLove will be the platform to help civic organizations connect with their beneficiary communities and institutions. | ['Riain Alfonso', 'Joshua Jones Waban', 'Jason Alcudia', 'Grant Amoncio', 'Keny Lourdie Waban', 'Angelie Azcuna-Collera'] | ['Highlights'] | [] | 3 |
10,257 | https://devpost.com/software/team-205-trunk-show-and-app | Inspiration
Our members came up with this idea by first thinking about hosting a fashion show, but we thought of selling products and art as well.
The app was inspired by already existing apps and platforms such as Spotify, Etsy, Shopee, GiveLively, ArtSteps, Messenger, Facebook, VLive.
The difference between these apps is that these apps cater TO Filipinos and promote Filipino culture and art.
What it does
We need to find a way to give them their income, as well as spread and promote Philippine culture. A loss of their income is also a loss for our economy.
Our culture is part of who we are, and we’ve lost enough of ourselves in this quarantine.
We’ve decided on focusing on promoting artisans and native tribes and providing a source of income for them.
Our solutions will provide for artisans and promote our culture, while adjusting to social distancing measures
How we built it
We mostly came up with this from our own interests, fashion and the Internet.
A lot of talking and chatting, revising and research.
Challenges we ran into
There were times that we weren't active at the same times or at all, and the time differences were also difficult to get over.
Accomplishments that we're proud of
Working together, and looking at things from different perspectives.
What we learned
Some of us learned that there were actually people who were already incorporating our culture into our daily lives, while others were amazed at the possibilities technology has to offer.
What's next for TEAM 205- Trunk Show and App
Our Trunk Show being a success, and maybe the development of the app.
Built With
powerpoint | TEAM 205- Trunk Show and App | Promote MIndanaoan culture and staying true to tradition | ['Angelie Azcuna-Collera', 'eNVy Vanguardia'] | [] | ['powerpoint'] | 4 |
10,257 | https://devpost.com/software/team-119-aim-connect | AiM Connect Logo
AiM Connect Idea Flow
Business Plan Portal x Accounting Systems
AiM Connect Business Plan Portal
AiM Connect Accounting Systems
Inspiration
This is inspired by how our 11-day old business, AiM Online Review, started. We were able to conceptualize the idea two years ago, but we were unable to move because of a lack of capital. But one crazy day, we finally decided to start it without any money. Based on my computation, I needed at least Php150,000 to get this started, but I didn't have that money. So I figured if I can find 30 people with Php 5,000 each, I can have Php150,000. I posted on Facebook that we are working on a project and that I am open to partnership. Surprisingly, I was able to complete the money on the same day I posted it! And the investors were very diversified, current and old students, colleagues, friends, and relatives. During the time of COVID, some of my friends asked me if I needed more capital because they still have funds.
I realized that there are people who are willing to fund a project, as long as they trust you, you have clear objectives, have a timeline, and their earning opportunities are transparent.
It's just that people who have ideas, and people who can fund the project did not meet.
I am a professor, and I have seen and read hundreds of business ideas that never come to life. Some of them are social enterprises and very relevant to their communities.
What it does
This is a two-part portal composing of AiM Business Plan, where start-up business can post their business ideas and capital needs. It is an easy-to-answer portal that includes all of the elements of a business plan including computation of their start-up capitalization needs based on their projections. Part two is AiM Accounting Systems, a user friendly but integrated accounting tool to record business transactions.
The steps are simple. Start-up businesses will submit business plans and make an offer. Investors will see if they can fund the project. If both parties agreed with the terms. Bookkeeping firms will assist them in their business registration. We included business registration, because in this pandemic, a lot of businesses are sprouting but not registered. If these businesses so decided to go on with the business as a step to the next normal, it is of primary importance that they have to be a legitimate business. Lastly, once they are registered, the can set up their books of accounts through AiM Accounting Systems. The best part of this is investors will be able to have access to sales reports to see if the business they are investing in is earning or not.
Why is it relevant
Business Plan Portal
A lot of people are now considering jumping into the business. Government agencies, financing institutions, and organizations are also providing start-up funds. We don't want them to waste money. Some entrepreneurs might find it challenging to write down their business idea. The Business Plan portal is straightforward and easy to navigate and asks questions a business person should know. If an entrepreneur knows his/her business, he/she should be able to finish creating the business plan in a day; otherwise, this portal will help them think about aspects of their business they have not considered. The most common mistake of a start-up MSM is they only focus on the product or service but not considering other aspects such as marketing and distribution channels.
Accounting Systems
Aside from most MSMEs not separating business money from personal funds, they also don't record transactions. They have to learn how to do it; otherwise, they will always be clueless about their own business. AiM accounting system is simple and easy to navigate, including only underlying transactions such as cash receipts, cash disbursement, collections, and payments, including adjusting entries.
Target Users/Audience
Students, Online Sellers, MSMEs
*Where they can express their business ideas formally and based on a simple structure
*Students who prepare business plans will have an avenue to present their ideas.
*Online sellers and MSMEs who needs funding for start-ups or expansion
Investors
*Individual Investors who are willing to fund projects and business ideas
*Cooperatives, Financing Companies, Banks, Government Agencies, and any organization that offer loans and fundings. This will give them a portal to review loans or funding applications. The Accounting System will be of great help to them in evaluating if the entity they funded is earning.
Schools, Colleges and Universities
*Most business schools require their students to prepare Business Plans. This portal will surely be helpful to these educational institutions. This is the innovative way of writing a plan, not wordy but very informative.
Existing MSMEs
*AiM Connect provides a two-part portal. But they need not be used together. Existing MSMEs need not use the business plan portal. They can directly use the AiM Accounting System
How we built it
AiM Connect is still in the conceptualization phase, although the accounting system's idea was already a 6-year old plan. If we have enough funds, we create an application for the accounting system. But for a start, we can build a web application that is mobile friendly.
Accomplishments that we're proud of
AiM Online Review launched 11 days ago. We were operating for four days when we were informed of the hackbang hackathon. We think we are crazy that we even joined, but opportunities like this don't come every day. We are glad we did. We were able to present a project which we plan to launch in two years because we need to save for the fund. Being able to submit is something we are proud of.
We are also proud that the idea was inspired by how the AiM Online Review started. How we raised funds and how we were able to launch an online review amid pandemic. Sometimes we cannot believe it is already up and running! Yay!
Challenges we encountered
It was a huge challenge that, for the most part of the hackathon, the team head was sick. Still, we managed to submit even if, for most times, we thought of not doing it anymore.
What we learned
We were able to learn a lot of tools and platforms to express your idea. It was terrific that numerous and powerful ways to bring your plans to the world.
Hackbang team taught us that there will always be a way to use your talents and skills to make something meaningful and relevant. It is amazing how they build this event with their strength and networks. We realized that Team AiM was was about building networks, too. Thus, the idea of AiM Connect is inspired by the same thought, network.
Team AiM is far from being a successful venture, but the fact that we get started is significant for us. And this platform helped us learn how connections can take you to places you never thought you will ever be.
What's next for Team 119 AiM Connect
Our Team had been on this idea for so long. Right now we set it aside because we just launched AiM Online Review. But this project is absolutely in our timeline. This must be done next year or earlier if we get lucky with this Hackathon. | Team 119 AiM Connect | AiM Connect is an online portal where start-up businesses, investors, and bookkeeping firms use to connect. | ['Jennifer Amora', 'Monster Blog', 'Justine Bajao'] | [] | [] | 5 |
10,257 | https://devpost.com/software/mentanaw | A Clear Problem Statement
The social, political, and economic challenges in Mindanao have caused a toll in people’s mental health especially among the youth. However, seeking help may be limited by physical restrictions, lack of access to professional help, and even their personal hesitation.
Identified Challenge Area
Isolation & Mental Health, Education
Inspiration
Mental health has been a pressing issue in the country yet it seems that there is still much that needs to be done in terms of mental health especially here in Mindanao. Studies suggest that mental health may be the next pandemic so we need to start doing something now.
Target Users/Audience
The mobile app is specifically designed for the Mindanao youth.
What is the Proposed Solution
MENTanaw
(from the words “mental” and “tan-aw” – a Visayan word for “look”) is a mobile app which allows users to look after their mental health. This mobile app is designed to help the youth nurture their mental well-being through a variety of features. The following are the app features:
Tan-aw (Mental Check)
Giya (Mental Guides)
Lihok (Mental Exercises)
Tala-adlawan (M-Journal)
Storya Ta! (Mental Link)
Other Features:
• The mobile app will be available in English and Bisaya so that it could really reach out to Mindanaons.
• The Storya Ta! (Mental Link) feature allows registered mental health professionals (counselors, psychologists) or institutions to add their selves in the directory of available mental health professionals whom users could contact for professional help.
Why is it relevant?
This pandemic warrants the need to address the mental health needs of people. But even when this pandemic is over, we would still need to constantly help ensure people’s mental well-being.
How did we build it?
We are a team of educators who felt the need to do something to help address the mental health needs of the youth which are heightened during this pandemic.
Accomplishments we're proud of
We were able to expand a small idea by working together and thinking outside the box!
Challenges we encountered
Financial sustainability. IT expertise. But by collaborating with others, all is good!
What did we learn?
As educators, we need to continually step up to address the needs of the youth beyond the classroom.
What technology did we use to build it?
We plan to use Xamarin for app development. | MENTanaw - Team 105 | Nurturing individual’s mental well-being for a healthy MindaNOW! | ['Loressa Joy Paguta', 'Joseph El Roy Cassion II', 'fridaytiempo', 'belle ato-candelario', 'Mark Bon Basadre'] | [] | [] | 6 |
10,257 | https://devpost.com/software/project-protect-everyone-ppe | Logo
Beneficiaries
How to donate
Inspiration
In the summer of 2019, the Oro Youth Development Office launched a primary leadership program that aimed to develop and empower the youth. They opened the application process online in search of young progressives who were willing to take the challenge of being formed into competent and compassionate leaders.
It is a batch project of the alumni. They have developed the character of an equipped, engaged, and empowered individual who has shown their concern to the community through taking the initiative of making a project which addresses the concerns of people during COVID - 19.
As we are now online, we are spending more time on social media and other networking sites. Thus, we came upon having a webinar series and an online campaign. We all know that traveling from then and now requires social distancing and proper hygiene, thus we came to put dividers on motorela as it is the number one source of travel in Cagayan de Oro City. For the handwashing, as new normal currently approaches it is a must now to properly wash your hands and bring alcohol/hand sanitizer were ever you go. We came up to name the Project as Project Protect Everyone(PPE), from online, handwashing and traveling we are protecting not just ourselves but everyone.
One of our inspiration is the HACKBANG Organizers for giving us the opportunity to voice out our concerns and solutions to help solve the problem that we see in our status quo. Ma'am Redge Rafols, for giving us insights on our project that this will come into reality. Lastly is our family and our community, that as we go out through our homes we will not be scared for we know we are protected. For His Greater Glory, Project Protect Everyone!
What it does
Project Protect Everyone is composed of the following 5 sub-projects that primarily help Kagay-anons in coping up with the new normal.
PPE: Face Mask, refer to online campaigns, ensures reliable and safe information provided to the public. In the same way that a face mask protects our mouth, campaigns can also be helpful in protecting everyone against the spread of fake news.
PPE: Face Shield, a sub-project referring to webinar series, provides relevant information and gives us additional knowledge in what ways can we cope with the new normal and other things in facing this pandemic. It is named face shield because this PPE protects the head part and the webinar series deals with knowledge.
PPE: Protective Glasses, referring to fundraising, helps donate and raise funds in this project and see how big of a help you have made to our community through your donations. This PPE connects to this sub-project in the aspect of seeing our initiative clearly as a way for you to also help through donating.
PPE: Boots, in the same way as the boots, protect our feet wherever we go, this PPE represents our initiative to provide Motorela Dividers to help ensure the city safer travel with our public transportation.
PPE: Gloves, in the same way, the gloves protect our hands, PPE: Gloves, which refer to hand washing station, ensures that students in public schools see the importance and gain the habit of proper handwashing. Protect your hands and you might protect others too.
How we built it
We will raise funding and partner with different LGU's in Cagayan de Oro City.
PPE: Face Mask: Through our Online Facebook Page:
www.facebook.com/OYLAAlumni
, we will update the Kagay-Anon youths on how they will cope up with the new normal. Especially the COVID19 related news we will make sure that we are one of the platforms that will not spread fake news that will cause the public commotion/confusion within the community.
PPE: Face Shield: Through online platforms using also our Facebook Page, Zoom Meeting we will invite known/famous speakers, influencers, advocates, psychologists, advisers, and other experts on the field of our chosen topics on our webinar.
PPE: Protective Glasses: We will ask for help whether in kind or in cash to organizations, local government units, and through our online friends to help us with our fundraising project for a good cause.
PPE: Boots: With the help of Oro Youth Cagayan de Oro City for providing with us the tarpaulins(We will recycle tarpaulin), it will be given to a tailoring shop to tailor the divider that will be given to moterela drivers.
PPE: Gloves: With the help of the 4th Infantry Division, they will be the ones who will assemble and place the improvised handwashing facility to the selected beneficiaries.
Challenges we ran into
The challenge that we ran into in making this project is really knowing the core problem now. As we all know COVID19 will never vanish right away, thinking of a solution that will last for a long time is the very first challenge that we ran into. Next is our online campaign-how do we let people know our ideas and sentiments, who will do the graphic design and such, how to reach out people since we are all in quarantine, and going outside is prohibited unless for important reasons(Grocery, Medicine, etc). After our session with the team, we officially launch our online platform through Facebook as our means of transporting our message. Next is our Webinar Series, we are la Lastly, is on how to raise our funds.
Accomplishments that we're proud of
Our organization has had a long journey of failures and achievements but this hackathon is a big event for us. Signing up as a team in Hack-Bang is already an accomplishment. Proposing a project is neither easy so we also call it an achievement of our organization. We are able to draft this project and present it to people who can also share the same concern for the current situation of Mindanao this pandemic. Thus, we aim to really make this project a reality.
What we learned
Our organization went through a series of sessions to hone ourselves into becoming leaders who are equipped, engaged, and empowered. We have learned a lot, from crafting a project proposal to pitching it to possible stakeholders. Making a project is a long process and consistent communication with the team is a must. Project Protect Everyone is a project that is rooted in the problems observed in the city of Cagayan de Oro. We have stumbled upon the idea of how risky it is for students to come back to school and for Kagay-anons to go back to what used to be normal. So, we plan to address these issues through our PPE.
What's next for Project Protect Everyone (PPE)
We seek for funding and possible donors to make our project into reality. Professionals and mentors who could also help our team would be greatly appreciated as we strive for everyone's safety in these times of pandemic.
Built With
liquid-soap
logistics
metal
metal-maker
nylon
paint
scotch-tape
tarpaulin
Try it out
bit.ly | Project Protect Everyone (PPE) TEAM 118 | Project Protect Everyone has 5 sub-projects, primarily helps Kagay-anons in coping up with new normal. Face Mask, Face Shield, Protective Glasses, Boots, and lastly Gloves. | ['Noemie Cagatin', 'christ millare', 'Brean Mel Walag', 'Redge Rafols', 'Hannah Mae Hormiguera', 'Angel Nicole Ampo'] | [] | ['liquid-soap', 'logistics', 'metal', 'metal-maker', 'nylon', 'paint', 'scotch-tape', 'tarpaulin'] | 7 |
10,257 | https://devpost.com/software/gk-butuan-enchanted-farm-agri-eco-tourism-mang-itlog-qr7i28 | MANG ITLOG by GK Butuan Enchanted Farm
GK Butuan Enchanted Farm Problem Analysis
Salted Duck Eggs
Fresh Duck Eggs
GK Butuan Enchanted Farm Development Framework
Problem Statement
To make Mang Itlog as one of the enterprises to represent the social entrepreneurship movement and to implement and sustain community-based tourism approach of GK Butuan Enchanted farm during this time of pandemic where it will allow us to reach out and continue caring for our community members with the kind-hearted support from our partners and volunteers.
Challenge areas
Community-based tourism, Supply chain
Inspiration
Mang Itlog is one of the social enterprises incubated in GK EFarm. This enterprise is an avenue for us to grow and add income to our cooperative - CARAGA Social Entrepreneurs Agriculture Cooperative (CARSEACO) thereby benefiting the community members who are likewise members of the coop. The members are from GK communities, volunteers, and GK workers from Butuan City.
Among the many worthwhile reasons why we pursue this enterprise are the following:
Based on market research, there are only few entrepreneurs in Butuan City who are venturing into Duck raising and processing it into salted eggs.
Increasing demand for fresh duck eggs and salted eggs in Butuan City
Knowledge and skills on the duck farming technology is immanent among coop members.
Duck raising, producing and harvesting eggs are easy tasks workable to community members.
Some resources for duck raising are available in the farm.
Opportunity to impart the value of sharing and caring to community members, volunteers, partners, and customers.
The initiative falls under the 2nd phase of GK’s roadmap which is social artistry.
Social artistry of Gawad Kalinga aims to empower the powerless for self-governance, self-reliance, and especially self-sufficiency. Hence, the birth of the GK Enchanted Farm at Brgy. Engkanto, Angat, Bulacan. It is a community meant to encourage the growth of social entrepreneurship.
The gains of GK Enchanted Farm in Bulacan inspired GK Butuan to replicate the development concept in Butuan City.
On February 25, 2012, the Butuan City GK Enchanted Farm in Balangayan Butuan, Brgy. Pagatpatan was officially launched. It aims to become a village university of social enterprises that are agriculture and aqua-based products. Further, it desires to inculcate in the minds of the youth not only from GK communities but also from the whole Caraga region to appreciate and venture into Agriculture.
There were projects implemented before by our partner agencies but were not sustained because of some reasonable circumstances. In spite of that, Gawad Kalinga maintains its presence and efforts in community development and nation building.
The GK Butuan Enchanted Farm was relaunched on December 15, 2018. It focuses on incubation of social enterprises led by the GK provincial management team, CARSEACO, and students and faculty members from FSUU.
Currently, there are few operational start-up social enterprises, namely: Duck Raising, planting and cultivating herbs and vegetables; mushroom growing, and cooking delicious and nutritious meals- MEAL AMIGO.
Target Users/Audience
GK community, volunteers, partners and GK workers. Wholesalers and consumers.
Proposed solution
We must be able to provide a sustainable supply of feeds for egg laying ducks.
We need to increase the number of members to aid us in operating the enterprise - Coop Membership Goal.
We need an incubator for us to have our own ready-to-lay ducks.
Safety protocols during production and delivery.
Intensify values strengthening and technical sessions through online communication.
Bayanihan brought possible through maximizing the use of social media and online platforms.
What it does
It is a social enterprise that delivers fresh duck eggs and salted eggs. It also provides livelihood to the families from Brgy. Pagatpatan community by selling fresh duck eggs and by processing (value-adding) it to salted eggs. And it is a social enterprise that focuses not only about producing and selling Agri-products but also focuses on the values of “Bayanihan” among coop and community members.
How we built it
We anchored its business model from the farm's "Development Framework" and finished the business plan during the early months of 2019 with the help of the volunteers and workers who are also into duck farming. We also attended a seminar on duck raising sponsored by one of the leading feeds supplier in the Philippines.
In September 2019, we acquired 300 ducklings utilizing the investment from CARSEACO.
In April 2020, we started selling fresh eggs and closed a deal from a fresh duck egg wholesaler and just recently, we implement value-adding through offering salted duck eggs.
We also acquired assistance from Department of Agriculture (DA) and Agricultural Training Institute (ATI).
Challenges we encountered
Difficulty in increasing the numbers of coop members due to covid protocols.
Apprehensions in the delivery of produce due to increasing number of covid cases in Butuan.
Lack of manpower due to difficulty of some coop members to cross the boarders
To sustain the "Bayanihan" value of GK amidst pandemic.
Accomplishments that we are proud of
Provide livelihood to GK-Pagatpatan community
The product has no artificial coloring and has less sodium which the customer love.
Contract buyer for fresh duck eggs.
There are wholesalers for salted eggs.
We are able to market the products and close deals using our fb page and linkages.
Volunteers are working hard to sell and promote the products in spite of their full-time job in both public and private sectors.
What did we learn
Maximize the linkages and availability of different online platforms like facebook, instagram, emails, zoom, etc. massively introduce the coop as well as the enterprise in social media.
Strictly following the covid protocols like physical distancing and wearing of facials masks and requesting the customers to pay for the exact amount during the delivery of produce.
Multitasking and close coordination between key person involve from production, marketing and selling of produce
Constant communication (Kumustahan) - giving care - with the GK workers, volunteers, coop members and community members or Kapitbahayan.
What's next for MANG ITLOG
We will replicate this enteprise to all GK communities in the Region and pass forward the knowledge, skills, and more importantly the values gained while venturing into this social enterprise.
Built With
businessmodel
communitybasedtourism
socialenterprises
supplychain
Try it out
www.facebook.com | MANG ITLOG by GK Butuan Enchanted Farm (Team 104) | Mang Itlog sells fresh duck eggs and salted eggs. It is one of the enterprises incubated at GK Butuan Enchanted Farm managed by Caraga Social Entrepreneurs Cooperative (CARSEACO). | ['Redge Rafols', 'Tet Joven', 'Laya Montecalvo', 'mecaarban1999'] | [] | ['businessmodel', 'communitybasedtourism', 'socialenterprises', 'supplychain'] | 8 |
10,257 | https://devpost.com/software/enno | Team 106 (ENNO)
A Clear-Problem statement
The average consumer buys 60% more items of clothing than in 2000, but each garment is kept for half as long as consumers discard items more quickly. These buying habits contribute to the 39 million tons of post-consumer textile waste that is generated (at a minimum) worldwide each year primarily in the form of garments. Of that vast majority of clothes in the waste disposal stream, roughly 70% will go to landfill and 30% will be incinerated. Of the fifth destined for recycling/sorting: roughly half is recycled; 40% is re-used as second-hand clothing; and the remaining 10% in fact ends up in the waste stream. In terms of the bigger picture of all discarded clothing, this breakdown means that only 10% overall is recycled, only 8% is re-used as second-hand clothing – but 57% is sent to landfill. In order to help alleviate this problem we can use these materials to produce other items. Since face masks have become a necessity due to the pandemic every individual is required to wear a face mask in order to protect themselves against the disease. The World Health Organization and other public health organizations agree that masks can limit the spread of respiratory viral diseases such as COVID-19. At present, people are hoarding facemasks and other necessities that keep us safe which makes the majority of people vulnerable.
Identified Challenge area
Economy & Healthcare
Inspiration
The fashion industry is one of the biggest contributors of solid waste due to fast fashion and the changes of trends which resulted in our goal to help the environment with our creativity by producing face masks, PPEs, and bags with the use of discarded fabrics and second-hand clothes. Since these materials cost less to nothing and can be even found within our own homes.
Target users/Audience
ENNO is a Social Enterprise residing in Butuan City which drives us to primarily focus those within reach but because of the available technology, such as our devices, we can access websites and other social platforms to market the products. Social platforms have a wide range of users which we may influence potential innovators upon seeing our mission allowing them to create their own solutions in their community.
What is the proposed solution
In order to lessen the fashion waste in our community we have decided to upcycle these materials in order to create bags, facemasks, and PPEs while maintaining its best quality.
Why is it relevant?
No matter what the situation, people would still need to step out of their homes whether for work, food, and etc. which exposes us to high chances of danger. In our current situation we are aware of how anyone at any time can be infected with the disease. For the safety of the people, it is no question that every individual is anxious to protect themselves against COVID19 by wearing a face mask and other necessities to follow what is known as the ‘new normal’. By upcycling discarded fabrics into facemasks, PPEs, bags and etc., not only are we fighting against the disease but we are also helping the environment.
How did we build it?
-We build it with the help of our school and the help of our teachers and mentors.
-find local suppliers for “retaso” or used fabrics (it can be out a donation)
-find the Seamstress
Accomplishments we are proud of
-Starting a business while we are still in school
-The community we have made because of the products that we sell
challenges we encountered
-in order to create the products we had to find the capital to start the production and purchase the materials needed.
-Right suppliers
-We cant have inmates from butuan city jail make our product but we are shifting for the local Seamstress that had stopped their operation due to covid 19.
-Market the product in a larger scale
-Faster production(efficiency of production)
What did we learn
-the demand for mask is high as well as PPE’s and other product that can be designed for this new normal
due to the the spread of the disease known as COVID19, people are driven to hoard or bulk-buy the necessary products to protect oneself against COVID19 which resulted for the supplies to go low
what tech. did we use to build it
-sewing machine/ computers for design
Try it out
www.facebook.com | ENNO by team 106 | Creating new ways for sustainable fashion | ['gold longhas', 'Erika Acalayen', 'Laya Montecalvo', 'Yzah Cariaga'] | [] | [] | 9 |
10,257 | https://devpost.com/software/lokalista-net | Problem Statement:
How easy is it to look for skilled tradespeople when you need to carry out maintenance or repair work in your homes?
As a tradespeople, how difficult is it at this time of the pandemic to look for a customer? How do you expect your business thrive?
Given these challenges, how do we address the needs of customers and local tradespeople during this pandemic?
Challenge areas:
Job loss in millions
Restricted mobility
No digital platform to bridge tradespeople with their prospective customers
Inspiration
For our team, the motivation is personal. When the pandemic brought tremendous losses to our own businesses, we were forced to think of ways to address our need to thrive in these difficult times. As tradespeople ourselves, we know we have to adapt or perish. Knowing that other tradespeople must feel the same desperation as us, we started exploring ideas to bring customers to traders.
Facebook remains as the most popular communication channel among Mindanaoans, but the marketplace is teeming with food products only. We saw the need for a separate platform for tradespeople. Thus, Lokalista.net was conceptualized.
What it does
Lokalista.net gives the public quick and easy access to tradespeople who have undergone a vetting process:
1. Search
2. Contact
3. Leave a review
For example, it can provide invaluable contact information about available skilled resources when one is faced with a car malfunction in the middle of nowhere. It delivers a relevant service to customers in a direct and time-efficient manner.
For tradesmen, the website will provide job opportunities to more than
20,826
tradesmen in Mindanao. Phase 1 roll-out alone can provide an earning potential to
8,114
tradespeople. This is an invaluable opportunity for tradespeople who lost their income during the pandemic.
How I built it
Methodology:
Survey - Phone in survey with acquaintances and existing network.
Interview - Interviewed tradespeople and professionals on their current challenges in service delivery.
Data Gathering - Gathered baseline information on existing solutions.
Platform - From our end we had to act fast and look for a platform that is easy for us to manage and can integrate with our skills thus we landed on using Wix.com.
(data gathered from May 25 - June 5, 2020)
Challenges I ran into
Technical - Being the only technical person in the team, it took Rhian two weeks to fully understand what Wix.com can do. The programming language itself using corvid, which is similar to C, gave him a few fits but in the end, he was the victor. Wix.com is the right choice for us and it is giving us room for further improvement. Like all platforms, there are always challenges but there are also workarounds.
Team dynamics - creating a positive group dynamic was a challenge at first. The team members have different backgrounds, thus they approach issues differently. Everyone was working remotely and had separate day jobs, conversing only via Messenger and meeting via Zoom from time to time. It takes a team who mutually understands and trusts each other to come up with this project.
To get our first sign-up, we followed Jack Ma's advice and avoided close friends and relatives who are the hardest to sell to. As a team, we had to dig deep in our network to get people on-board with our vision.
Accomplishments that I'm proud of
The website was initially conceptualized at the end of May 2020 and we got it up and running by 5th of June. That alone is a major accomplishment. With the help of Wix.com platform and the different technical expertise of the team, here we are in the soft launch stage.
What I learned
Don't quit when you have the skills -
Rhian
In this world, you have to be fast or be last. Build your prototype quickly, you don't need a full product to test it's value. In a team, you don't always need the brightest people, you need the right ones -
Vanessa
In this pandemic crisis we cannot turn back the time, but we still have time -
Gilbert
What's next for Lokalista.net
I. IT Infrastructure
Website API Upgrade
BCP/DRP
Mobile App
II. Manpower
R&D Team
Training/Recruitment Team
III. Pilot Run
Timeline: Month 1
Pilot area: Cagayan de Oro City, Philippines
Specifics: Deploy 10 agents + 1 Team Leader to fill 20 trade categories. Minimum target per agent: 20 tradesmen. Agent will earn a minimum salary upon hitting target + incentive for additional sign-up.
IV. Phase I
Timeline: August - December 2020
Target Area: Region 10, Caraga, Davao, Zamboanga, SOCSARGEN
Built With
corvid
javascript
wix.com
Try it out
www.lokalista.net
www.youtube.com | Lokalista.net | Enabling seamless connection between customers and local tradesmen | ['Rhian Aseniero', 'Gilbert Simbajon', 'Vanessa Tadena'] | [] | ['corvid', 'javascript', 'wix.com'] | 10 |
10,257 | https://devpost.com/software/gulife | Logo
Inspiration
We recognize the difficulties farmers will go through during this pandemic, so we wanted to help them. Our app itself is inspired by Grab, Foodpanda, and Honestbee.
What it does
It allows farmers to set up a page in the app wherein customers can directly order products/produce from them. The items will then be delivered by drivers working with the app. App description-
file
How we built it
We used our laptops.
Challenges we ran into
Making the app work was not easy for us. At first, we wanted to present a demo, but since we have no expertise in app coding and development, we decided to just make a description of the app instead. Overall, the technicalities in making an app were our biggest problem. Other than this, some of our members had some wi-fi issues which made communication a little more difficult.
Accomplishments that we're proud of
We, as a team, have found great inspiration and drive to push through and endorse the Gulife app. This project has made us realize that we, being only students, can still create change despite our current situation.
What we learned
Through this project, we learned the importance of teamwork and unity. Since we could not meet up together to work due to the pandemic, we each had to do our part diligently for the making of this project to be possible.
What's next for Gu-Life
We at Gu-Life truly wish that our app, if chosen to be produced and endorsed, will be a great help to the people that need it. We hope that the app itself will grow and will be used not only in regions in the Philippines but also in various countries around the world. We truly believe that faith brings about change, and with this app, we can help turn the suffering into prosperity.
Try it out
N/A | Team 116: Gu-Life | Team 116 presents Gu-Life: an app that allows those in the farmer's and public markets to directly sell their products to various customers around their region. | ['Charles Luis Gaid', 'Kofi Guibincan', 'ejppk0804'] | [] | [] | 11 |
10,257 | https://devpost.com/software/higala | A Project by
team-hackbang-113
for HackBangPH.
Problem Statement
How might we help people living with or without
Human Immunodeficiency Virus
(HIV) live in the new normal?
Challenge Area
Healthcare. Communication. Isolation & Mental Health.
We wanted to tackle the increasing difficulty in accessing medical services due to the pandemic, especially to those who are immunocompromised.
Our Inspiration
HIV has always been a sensitive topic in the Philippines. Most people are afraid to talk to experts and are not well-informed on where they could get proper testing and consultation. The new normal magnifies the difficulty of availing these HIV healthcare services due to the lockdowns imposed by the pandemic. We want to help out the people affected by this.
Target Users/Audience
People living with or without HIV.
Our Proposed Solution
Higala
Higala (a Cebuano word literally meaning
friend
) is an online platform that seeks to bridge the connection between both practitioners and people who are living with or without HIV - at a time when the fear of COVID affects them the most.
Higala offers:
Quick assessments for people who are living with or without HIV through digital triage.
Modern ways of delivering at-home or in-clinic HIV tests and treatments.
Easy access to online consultations and counseling.
Relevant information on healthcare centers and news directly from the healthcare providers.
Digitized medical data.
Tracking insurance for covered HIV cases.
Higala aims to help people who do not feel comfortable opening about sensitive health issues by offering health services accessible at their fingertips.
Why is it relevant?
Living in the new normal constrains most of us. More so to those who are immunocompromised. Now, more than ever, people living with or without HIV need a platform that modernizes the way healthcare is provided to help ease their worries.
How did we build it?
We made a significant effort to ensure that concerns from both medical practitioners and people living with or without HIV are addressed. We built our platform around their needs.
Accomplishments we're proud of
We were able to get positive feedback from a local HIV testing center who was very optimistic about the project.
Challenges we encountered
Our biggest challenge was conceptualizing and designing a platform that the target audience would find trustworthy.
What did we learn?
The team learned that there are a lot of factors to be considered when working on medical-related platforms. This made us realize how big of an issue the platform would be covering. But rather than being overwhelmed, the task at hand made us more eager to develop a useful and practical platform.
What technology did we use to build it?
We used
Miro
to help us map out our ideas for the platform.
We prototyped the designs/screens using
Figma
.
What's next for Higala?
We are looking forward to starting the development of the platform and publishing it out to the community for feedback. We would need funding for the development and implementation.
We plan on tapping healthcare providers first as they have the domain knowledge, medical policy expertise and access to a broad audience.
The platform can be expanded in the future to be rolled out to other sensitive medical issues (e.g.
mental healthcare
) even after the pandemic.
Built With
figma
Try it out
www.figma.com
www.youtube.com | Higala | The new normal of HIV healthcare. | ['Reanna Dagatan', 'Zerxa Aeon Mamac', 'Giann Lowell Evale', 'Anthony Moya', 'Junel Lawrence Cordova Jr', 'moon_devour'] | [] | ['figma'] | 12 |
10,257 | https://devpost.com/software/kalinga-app |
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Kalinga Mental Health Logo
KALINGA MENTAL HEALTH MOBILE APP
I. Clear problem statement
Mental Health Crisis in the Philippines
How bad is the state of mental health care in the Philippines?
The problem of mental health care in the Philippines is so bad that some don't see it anymore as a problem but a way of life
. Filipinos, especially Mindanaoans, are known for their resilience for they are forced to be mentally tough due to lack of mental health assistance. In Mindanao where martial law was imposed due to high risk of terror attacks and the addition of the on-going pandemic, there’s a rapid change in their lifestyle and many lost their jobs and who are locked up in their homes for more than a month. Because of this,
the need for mental health assistance is expected to be greater than ever before
.
According to a 2006 World Health Organization & Department of Health report, only 5% of the total budget for health was allocated for mental health. There is 1 doctor for every 80 000 Filipinos and there are 2-3 mental health workers for every 100 000 population as per WHO.
Before the pandemic, these are the existing facts related to mental health in the Philippines and Mindanao: 7 Filipinos a day are taking their own lives; 14% of a population of 1.4 million with disabilities were identified to have mental health disorder; According to NSO mental illness is the third most prevalent form of morbidity; about 88 cases of for every 100 000 cases were reported according to DOH which was still considered to be an underestimate; In Mindanao, 60 out of 100 who seek medical advice at The Southern Philippines Medical Center’s Institute of Psychiatry and Behavioral Science are suffering from depression according to Sun Star Philippines report.
A recent study based on forms of anxiety experienced by Filipinos during the COVID-19 pandemic shows that the 538 research participants experienced moderate anxiety surrounding 1)symptoms of health anxiety, 2) attitudes towards how awful it would be to develop COVID-19, 3) avoidance and 4) reassurance. Furthermore, the study also shows that themes about fear, social distancing, health consciousness, and information dissemination are predominant on how Filipinos felt, thought, and behaved during the pandemic. (source: https://www.psychologytoday.com/gb/blog/hope-resilience/202004/filipino-responses-covid-19 )
II. Identify challenge areas
Lack of mental health professionals
Lack of facilities for mental health patients due to the low budget allotted to the sector
Low awareness of different forms of mental health issues within Filipino society.
Social stigma revolving mental health
The high cost of consulting a Psychologist or Psychiatrist
Accessibility to proper mental health support
III. Inspiration
The general idea derived from the aims of a mental health page that promotes awareness and serves as a volunteer to render psychological first aid to people who ask for help with regards to behavioral, social, and emotional problems. We were also inspired by the Filipino value of ‘
Bayanihan
’ which encapsulates the Mindanaoan spirit of ‘
pagtinabanga
’, especially during traumatic events. The idea was also timely given that there is a global demand for information dissemination regarding the value of mental health awareness which includes Mindanaoans.
IV. Target users/audience
Volunteers
with (or without) background in Psychology and health services who want to be trained, Psychological first aid responders.
(Primarily focusing on) People of Mindanao
who are seeking for Psychological first aid and everyday awareness of mental health. This inclusive initiative aims to expand its scope to the whole of the country.
Mental health professionals
(Psychologists, Psychiatrist, and Guidance Counselors) and clinics who want to increase their profitability
V. What are the proposed solutions?
The proposed solution comes in stages that will ensure the sustainability of the proposed program for the years to come.
Stage 1: Facebook Page-based Mental Health Advocacy (Existing)
Kalinga Mental Health Peers
- a Facebook page that promotes mental health awareness and gives psychological first aid
Stage 2: Mobile Chat and Scheduling App (Proposed)
A mobile/web-based application that would immediately connect and give you a list of responders based on your availability and preference. The proposed application will address the problem of having limited mental health professionals. This will also raise awareness about mental health and the profession by introducing people to professionals like guidance counselors, psychiatrists, and psychologists.
Stage 3: PFA Training Modules for Volunteers (Proposed)
A remote training program for responders who are willing to be trained in psychological first aid through a Facebook Page that promotes volunteerism and mental health awareness. This will ensure that the volunteers are well equipped in giving basic psychological first aid and referral to professionals while staying safe and secured inside their homes.
Stage 4: Adding the Mapping/Reservation feature (expanded throughout the whole country) for Clinics and Professionals (Proposed future development)
An application feature that allows the user to see a map of clinics and professionals around the user’s location. It will also enable the user to make appointments for a consultation.
VI. Why is it relevant?
Due to recent events like the COVID-19, Marawi siege, and other pre-existing problems that caused insurmountable distress among Mindanaoans, the demand for mental health support is expected to be greater than ever.
Mindanaoans have gone through many devastating social (arm conflicts, poverty) and environmental (typhoons like Sendong) disasters which still affects many Mindanaoans and through providing accessible mental health support we can develop a more resilient Mindanao ready for personal and social growth.
VII. How did we build it?
In the
design thinking process
, we first considered the current state of mental health care in the country. We then came up with ideal scenarios where those problems are non-existent, from there we generated ideas on how it could be addressed. We have collaborated with a Program Developer with regards to technical aspects of the proposed application We also created a promotional video encouraging Filipinos to be a volunteer psychological first aid responder. We are planning to create psychological first aid training modules specific to the proposed project Lastly, we are planning plans to engage and incorporate other forms of mental health support like mentoring, yoga, mindfulness-based practice, and other services that would make consulting to mental health professionals more convenient.
For the application, a volunteer mental health advocate is in-charge of the development of Cloud-based applications using PHP.
VIII. Accomplishments we’re proud of
We are proud to create a proposal in such a short amount of time given the conflicting schedules due to the time difference and nature of work that we have. We were able to incorporate our knowledge, experiences, and passion in our proposal to improve the state of mental health care not only for Mindanao but for the whole country.
IX. Challenges we encountered
Participants
. Collaborating with more participants regardless of background who want to engage in providing mental health support and innovation would have been more helpful.
Location
. Collaborating from different time zones (Philippines & UK) meant that we have to adjust to having online meetings and brainstorming.
X. What did we learn?
That we can be able to create change by simply following your passion.
That there are a lot of people who are willing to help if given the chance and the proper platform to do so.
That it’s not a question of how difficult the problem is, but more of how much of your convenience are you willing to sacrifice to make the needed solution
.
XI. What technology did we use to build it?
The programmer will utilize
php
on
Google Cloud
for developing the application
The promotional video presentation was made using
Powtoons
XII. Try it out (URL, if ready)
Video:
https://www.facebook.com/watch/?v=865908427235755
Built With
i-cloud
php
Try it out
www.figma.com | Kalinga App - TEAM-202 | Be a mental health volunteer and help others in the comforts of your home | ['Marion Esplanada', 'Michaele Nagac'] | [] | ['i-cloud', 'php'] | 13 |
10,257 | https://devpost.com/software/agrikultura | AgriKultura Logo
Nanay Terisita Blanco a local farmer from Los Angeles, Butuan City joining our BETA Testing
Our early consumers during our launching last Apr 29, 2020
Inspiration
This idea was inspired by the local farmers on our community at San Francisco, ADS. At a young age, We have observed the hardships of these farmers. They have worked so hard yet they haven't reaped the justifiable profit of their harvest. What we have observed is that most of the farmers find it difficult to adapt to the new trends of technology in gaining access to the market, information, and financing. Also the existence of the multiple intermediaries between farmers and consumers. Thus, it affects the consumer, which relates to their concerns such as the quality of goods and its price.
Based on studies, Mindanao has always been called the food basket for it contributes 40% of the country's food supply and contributing more than 30% to national food trade and One-third of its land area is devoted to agriculture but unfortunately, the productivity and the yields of the majority of the small farmers have remained low and uncompetitive.
In this time of COVID-19 crisis, the situation of our farmers and consumers have worsened due to health concerns, travel restrictions, greater social distancing, and agriculture's declining contribution to the GDP.
What it does
We have built an Online e-commerce Platform (Online Palengke) for fresh produce. This will bridge the gap of the farmers and consumers which will synergize the supply and demand, better management of orders for the farmers and consumers, add transparency to the value chain, provides SEAM-LESS PALENGKE EXPERIENCE, and much affordable price of goods.
How we built it
We developed it by building a web platform (Laravel-PHP, AngularJS). We acquire users thru Facebook marketing campaigns, creating partnerships, and affiliations with farm groups and government agencies (DA, DTI, and CARP).
Challenges we ran into
Less adaptive society to innovations.
Society is hesitant in using new platforms.
Farmer's are having a hard time to adapt in using the platform.
Financial for tech, marketing, and operational expenses.
Accomplishments that we're proud of
2018 - Market Validation
2019 - Training, Pitching Competition, & Conferences
2019 - Beta Testing
Apr 29, 2020 - Launching
250+ Users
60+ Farmers & Farm groups
180+ Consumers
8,000.00+ Sales (May - June)
What we've learned
We have learned how to educate the farmers on how to use our platform.
We have learned from the concerns and feedbacks of the consumers in making our platform a better one.
We have learned from the different perspectives of our mentors and how to deal with changes in the marketing, tech, and operational aspects of our startup.
What's next for AgriKultura
We're into the development of our mobile application.
On-going negotiation with potential partners that will provide logistics, payment services, and liquidity to our Warehouse Receipt Financing.
Soon, we will embed a feature that will allow farmers to gain access to finance. This is what we called Warehouse Receipt Financing, on this feature we will create a cycle from marketing to financing. The legal framework that allows the Warehouse receipt to be utilized as collateral for a credit or loan is the Republic Act no. 11057 or the Personal Properties Securities Act. The process of our Warehouse Receipt financing will be in accordance with Act no. 2137 or the Warehouse Receipt law and Due Diligence will be exercised by our team to mitigate the operational risks and losses.
BENEFITS of Warehouse Receipt Financing (WRF)
It can be used by the farmer to obtain loans from our partner Financial Institution and Investors/Lenders.
Access to short-term financing by our farmers becomes easier since Financial Institution and Investors/Lenders are assured of collateral that can be liquidated quickly. Hence, Financial institutions and Investors/Lenders can recover losses by selling the collateral goods in our AgriKultura platform, instead of having to undergo long and costly court procedures.
Built With
angular.js
css
html5
javascript
laravel
php
Try it out
www.agrikulturashop.online
my.visme.co
www.facebook.com | AgriKultura | We are AgriKulturaCultivating farmer's opportunities! | ['Electronic Agriculture', 'Djon Amoc'] | [] | ['angular.js', 'css', 'html5', 'javascript', 'laravel', 'php'] | 14 |
10,257 | https://devpost.com/software/wecare-5l9dgi | Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
New logo.
Update with a key.
Hotspots for countries.
Options from the start.
Questions about your health.
Hot spots.
App design
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Unless being mandatory, we did not observe the large-scale adoption of these technologies by the crowd. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities.
WeCare Solution
WeCare is a cross-platform app that enables you to track the health status of your loved ones. Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates on best prevention practices. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
WeCare includes a contact tracing module that follows the guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
. It is an international collaboration of top European universities and research institutes to ensure the safety and privacy of individuals.
What we have done during the weekend
Have been in contact with other channels in Brazil and Chile.
We have updated the pitch (extended), app-design and backend connection of the app this week. New contacts with Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn. We have also modified the concept of Care Circle and how to add/remove individuals. Now, the app is very easy-to-use with minimal input (less than a minute per day) from the user. We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
The Hackathon brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live hotspot map, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models.
Also for the testing of the iOS version, we ran to the new restriction of App Store for COVID-related apps, which should be backed up by some health authorities or governmental entities.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Public support: a partnership with authorities and potentially being a part of government services to be able to deploy it on AppStore. It also makes WeCare more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Pitch:
https://youtu.be/7fMrVqxoPKY
Pitch extended version:
https://youtu.be/Vo0gs3WlptU
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | ['Alex Zinenko', 'Sina Molavipour', 'Ania Johansson', 'Hossein S. Ghadikolaei', 'Christian M', 'Seunghoon HAN', 'Tomasz Przybyłek', 'Mohamed Hany', 'Alireza Mehrsina'] | ['1st Place Overall Winners', '2nd Place'] | ['node.js', 'python', 'react', 'vue.js'] | 15 |
10,260 | https://devpost.com/software/envision-fjo5ks | Home Page -- Browser Extension
Ocular History Page -- Browser Extension
Mobile App -- Page 1
Mobile App -- Page 2
Mobile App -- Page 3
Check out our
business plan
,
slides
, and
code demo
!
Inspiration
It’s no lie that day by day, coronavirus cases are surging across the globe, forcing more and more people to stay at home and stare at screens for hours on end. Whether it be students relying on their devices to complete homework assignments or adults in the tech industry who need a device to communicate with clientele, our current situation is forcing people to spend the majority of their day working on a device such as a laptop, computer, tablet, or smartphone.
With the sudden increase in screen time, our ocular health is at risk. Blinking is vital for cleaning the ocular surface of debris, but when using a computer, the blinking rate drops a whopping 60%. The only way we can truly protect our eyes from our harmful devices is by monitoring our eye health while we are looking at a screen.
What it does
enVision is a browser extension that utilizes real-time personalized data in order to evaluate a user’s eye health and provide customized suggestions on when to take breaks and rest your eyes as well as complete brief eye exercises. The extension connects to a digital retinal scanner that can be placed over a device’s front camera. Through constant scanning of the user’s blinking rate per minute as well as the analysis of change of movement among the pupil, the app draws conclusions about the user’s eye health and releases alerts accordingly. If the user does not meet the minimum threshold values for pupil movement and blinks per minute, enVision identifies user-specific patterns and creates a custom recommendation for taking screen breaks and performing eye exercises. This allows the user to take the necessary precautions in preserving their vision even with the drastic increase in their daily screen time.
How we built it
For the web and mobile applications, our team developed a prototype in Framer to allow users to create and access their accounts. Additionally, when users create their accounts, they will be prompted to provide some basic ocular history. On the web application, users will be able to install the browser extension and it will provide notifications whenever the user is not blinking or moving their eyes enough.
The retinal monitor was coded in Python and it detects the eyes’ blinking rate using the retinal camera scanner to detect the eye location. We used NumPy and OpenCV-2 to get the eye location depending on the shape and enable the retinal camera scanner. The retinal monitor was added to the web application which was coded using Python and the Flask API with embedded HTML.
For the physical retinal camera scanner, we designed it in AutoDesk Inventor. The final CAD model displays a 3D replica of the retinal scanner placed over a laptop webcam. The model as a whole represents a laptop screen while the smaller rectangle on the top middle represents the retinal camera scanner placed directly over the laptop webcam. This demonstrates the physical usage of the retinal scanner in correlation to the user’s device.
Challenges we ran into
We wanted to implement our retinal camera scanner into our submission, however, due to the lack of time given and the limited cv2 and NumPy python knowledge, we were only able to use some source code (credit: Shameem Hameed) to make a simple retinal monitor that just tracks blinking rate for a custom amount of time and not pupil movement. With a more advanced camera, we could further develop our application to look at pupil movements for all eye colors (it is currently hard to look at dark eyes without a proper camera), make an actual profit for selling the camera, and do many more tests to ensure it works smoothly.
Additionally, we would like to include machine learning to have more customized reports, but due to the lack of user testing and the short amount of time given, we were unable to incorporate it into our app. Another thing that we are looking into is neural networking so our data will not be reliant on threshold data, but instead realtime data from the x amount of users.
Accomplishments that we're proud of
As for the accomplishments we are proud of we were able to develop a prototype of the retinal scanner. We developed a CAD model to showcase the retinal scanner as well as demonstrate how the retinal scanner would be attached to the computer. Although we were on a time crunch and had bare knowledge in coding in Python, we're incredibly proud of the fact that we not only coded a proof-of-concept, but also created several detailed mock-ups for our browser extension and mobile app.
Another accomplishment was that we were able to contact and receive support from the judges as well as a few mentors who gave us excellent suggestions to make our device and browser extension more effective and helped us ensure that enVision would actually function.
One of our other major accomplishments was that we were able to get survey results from over 97 active screen users in the past couple of hours, and this survey was vital for our team to perform market validation and ensure that our problem was valid and widespread. We are also proud of the UI design that we made on Framer. We have never used it to make UI design layouts for websites and applications. We created the Framer design during the actual hackathon time constraint.
What we learned
From enVision, we learned and understood how to code the blinking rate feature in Python. Using Python we were able to code how the web application would monitor the blinking rate of the user. We also learned how to create effective yet simplistic UI designs. These UI designs for the web application and the mobile application helped us ideate and understand our concept. We also learned how to develop an intricate CAD model. We were able to develop a CAD model on Autodesk Inventor that showcased how the retinal scanner would look like.
What's next for enVision
The next steps for enVision include developing a companion app. We want to create an application as it will allow for easier convenience and accessibility by the user. Along with this, we want to create a mobile-friendly retinal scanner, and incorporate a more extensive eye exam that will ensure more accurate and efficient threshold values.
We also want to further develop our browser extension to track user posture and face touching.
Built With
autodesk
cad
cv2
flask
numpy
python
Try it out
github.com | enVision | Monitor today for a healthy tomorrow. | ['Trishala Jain', 'Mihika Bhatnagar', 'Anika S', 'Sasha Mittal'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Magoosh Subscription Code', '1517 Venture Capitalist Funding', 'The Think Board Prize (Third Place)'] | ['autodesk', 'cad', 'cv2', 'flask', 'numpy', 'python'] | 0 |
10,260 | https://devpost.com/software/plasmaconnect-dxymzk | Problem: COVID-19 Patients who have recovered are potential plasma donors for future COVID-19 positive patients. However, due to lack of awareness and fear of infection, recovered patients are not willing donors. Also, many times patients may have recovered using home remedies and may not have been seen by a healthcare provider (this is particularly true for elderly patients, non-while minority patients, and also in many countries outside the US). Thus, they are not part of any current new registries of donors that are being created within the US healthcare system. Additionally, the availability of plasma donors and the demand for plasma may be in different geographic areas with no common database to be able to search from.
Technical background:
MERN Stack
AWS and Google APIs
Currently the only FDA approved investigational treatment is Convalescent Plasma. We have developed a Global app that will connect the COVID-19 recovered patients with the demand for plasma.
I worked on the Concept and Business Case.
Minh worked on the Technical aspect and built the demo platform.
Built With
android
gui
ios
sql | PlasmaConnect | Your Plasma Your Way. Marketplace for Plasma. Plasma Therapy is the only FDA approved investigational treatment for COVID at this time. | ['Venkat Subbu', 'Minh Trinh'] | ['health{hacks} Best Overall Prize'] | ['android', 'gui', 'ios', 'sql'] | 1 |
10,260 | https://devpost.com/software/no-fear | Inspiration
Small businesses are disproportionately harmed due to their lack of resources and incapability of remote work or opening, making their decision to reopen difficult. Currently, the vague guidelines the CDC has put out for reopening may lead to a disparate response amongst businesses which can have a counterproductive effect on virus spread. Inspired by many of the animations that depict the exponential spread of COVID, we wanted to create a similar modelling prototype that would assist businesses to have a more streamlined and safe method of reopening.
What it does
no feAR simulates COVID spread in an enclosed space over time using AR and controlling for factors like room size, capacity, infection rate, airflow, materials, and more. It will give warnings for at risk areas or materials and recommendations to business owners on how to mitigate such risk. This will allow business owners to more accurately reopen.
How we built it
Using echoAR, unity, and API's
Challenges we ran into
my computer crashed, and unity and echoAR did not line up well in making the model because we had to use multiple objects.
Accomplishments that we're proud of
we are proud of creating a solution that is easily accessible to the general public.
What we learned
we learned a lot about how covid affects small businesses and how tech can be utilized to help aid against the pandemic.
What's next for no feAR
next, we wish for widespread use of no feAR For bigger spaces like government buildings, schools, and office spaces.
Built With
adobe
echoar | no feAR | no feAR is an easy to use, scientifically based AR interface to visualize COVID spread in any space, allowing business owners and users to prevent COVID-19 as effectively as possible during reopening. | ['Justin Chung', 'Leah Kong', 'Jadyn Tiong'] | ['health{hacks} Runner Up Prize', 'The Medic Mobile Prize'] | ['adobe', 'echoar'] | 2 |
10,260 | https://devpost.com/software/vatika | Vatika - An APP & API that is helping people go out through
Inspiration
Its no secret that parks and nature help in reducing stress and before covid millions of people used to visit them.
Taking a stroll in the park will never be the same as it was before COVID. Neither will be shopping or eating at your favourite restaurant. The fear of contracting the virus will always keep one on the edge, making the "new normal" not so normal.
How we built it
We only managed to build the algorithm to count the people inside a place. We used the pretrained MobileSSD model to detect if the object is a human or not. Then we use image processing and openCV to count the people who are inside.
Challenges we ran into
Challenges we faced
Thinking of all the edge cases which a user might encounter
Making the model was challenging.
Thinking about it's integration with a cloud server and database was also challenging but interesting as well
making the wireframe was totally new but very intuitive task
Accomplishments that we're proud of
We are very happy that we have make a mvp along with a really nice presentation
What's next for VATIKA
Releasing it as an API & integrating it with cloud.
Built With
keras
numpy
opencv
python
tensorflow
Try it out
github.com
docs.google.com | VATIKA | Making Social Distancing Easy. | ['Neelabh Shukla', 'Lokesh Daga', 'Ojasv Singh'] | ['The Bugsee Prize (Fourth Place)'] | ['keras', 'numpy', 'opencv', 'python', 'tensorflow'] | 3 |
10,260 | https://devpost.com/software/glocal-net-bu89ty | Glocal Net Logo
The Problem
Our Solution
Feasibility and Scalability
Web App Landing Page
Profile Page
Catalog
Item Info
Message
Inspiration
We noticed that many families have an excess of medical and living supplies as a result of changes to supply chain and shopping behavior. We started asking: How can we reconnect local, regional, and global resources to support the ever growing need of equipment to slow down the spread?
What it does
Glocal Net is an online platform where community members can post their excess supplies and look for supplies that they need from other users. Glocal Net can tally the amount of excess supplies and supplies needed from different communities and provide the government with this information for more efficient allocation of resources.
How we built it
The Glocal Net prototype is built with Figma and a variety of Figma UI Kits. Production validation and MVP testing will be in the form of Google Forms survey. The pitch deck is created through Microsoft Powerpoint.
Challenges we ran into
Figma UI design involves multiple layers, and we ran into problems with frame layout. We had to create a UI design with consistent color design. Due to time restrictions, we couldn't carry out the user survey to validate traction of our idea.
Accomplishments that we're proud of
We created a consistent UI design that exceeded our expectations in very limited time. We were able to convey our idea clearly in a 5 minute presentation.
What we learned
We learned to design UI through Figma, finding and using different UI design kits, and creating logo.
What's next for Glocal Net
Offer delivery service and recommend local/online stores that can safely fit the user's need. Partner with local NGOs to work on good cause.
Built With
figma
google
powerpoint
uikit
Try it out
www.figma.com | Glocal Net | Glocal Net aims to improve allocative inefficiency of medical and living supplies among community members and form a global exchanging network. | ['kenannajjar', 'Tianren Dong', 'Xingyu Li', 'dyllanliuuu', 'Hugo Zhan'] | ['The Bubble Prize (Fifth Place)'] | ['figma', 'google', 'powerpoint', 'uikit'] | 4 |
10,260 | https://devpost.com/software/yogar-yogi | Won 6th Place Overall and Best Use of echoAR!
Try it Yourself!
Want to try out YogAR Yogi yourself? Feel free! It's avaliable for you to try at
https://andrewdimmer.github.io/yogar-yogi
. Note that due to time constraints, AR is only supported on iOS 11.or higher.
Inspiration
Modern life is stressful. Long working hours, poor diets, inactivity, and increasing social isolation in the digital age have all contributed to rising rates of anxiety and depression. The global COVID-19 pandemic, along with the lockdowns and social distancing used to combat it, have made all of these even worse. Health care workers on the front lines of this crisis have been hit especially hard.
Research has shown that yoga can relieve stress, and help reduce anxiety and depression.
Unfortunately, in-person yoga classes are one the activities that lockdowns have stopped. Learning any new skill can be frustrating and stressful, especially one like yoga that requires balance and physical coordination. Learning something like this all on your own can be downright overwhelming. That’s exactly the LAST thing that people need right now!
That’s why we created YogAR Yogi. YogAR Yogi is designed to help people learn and practice correct yoga forms in an easy, stress-free manner. After all, reducing stress is what yoga is all about, and it’s exactly what people need in these extra-stressful times.
What it does
The YogAR Yogi app uses TensorFlow to display a wireframe human image which positions the arms, legs, and torso into yoga poses. Players stand in front of their device’s camera and try to imitate each yoga pose. The web app takes the player’s image, and checks it against the app’s generated pose. The app will detect the accuracy of the yoga pose and display it as a percentage.
How we built it
There are a number of different components of the app itself. First, let’s start out with the front end website. Everything is built in React and Typescript, and styled with Material-UI. This allows us to easily rescale and rearrange the layouts of various pages to allow us to accommodate any device a user accesses the website from, whether it is from a computer or mobile device.
Next, we have the camera access. The first thing that we can do is access the webcam directly from the device the user accesses the site from. We actually use two different systems to access the webcam: first, we use the React-webcam npm module to assess if the webcam is on and we have the requisite permission to access it. This was selected because we had built-in React callbacks that allowed us to display messages to the user based on their camera status without leaving the React component that they were in. When we went to hook up TensorFlow’s PoseNet, however, we ran into some issues getting points out of the React-webcam module, so we built our own webcam system using the getUserMedia request in the JavaScript DOM to bypass parts of React and allow us to pass camera data directly into TensorFlow.
When it came to calibration, all of the data was collected via PoseNet, and the handlers are pretty standard React. We did do a lot of work to verify that there was only one active instance of anything running PoseNet at the same time. Likewise, when it came to generating and displaying the yoga poses, all of that was standard TypeScript libraries; we wrote our own algorithms to handle all of the generation and display. We wrote our own scoring algorithm, comparing the distance of the user’s points to that of the model, and giving a performance score based on accuracy.
For the 3D yoga models, we used EchoAR as our CMS and CDN, and used Apple’s ARKit to view the models, because we have Apple devices. The beauty of hosting and pulling our models from EchoAR is that the AR experience works cross platform on any device, and we just change which viewer we are using to display the file from EchoAR.
What's next for YogAR Yogi
Improve the scalability of yoga poses for users of all shapes and sizes
Include intermediate and advanced yoga workout routines
Include more 3D models of yoga poses
Built With
echoar
firebase
material-ui
react
tensorflow
Try it out
github.com
andrewdimmer.github.io | YogAR Yogi | The easy way to learn yoga remotely | ['Nathan Dimmer', 'Andrew Dimmer'] | ['The EchoAR Prize'] | ['echoar', 'firebase', 'material-ui', 'react', 'tensorflow'] | 5 |
10,260 | https://devpost.com/software/what-we-feel | Inspiration
We were looking at POC testing kits, but none addressed the issue of COVID-19 testing results communication.
What it does
Reports the results of STOPCovid testing kits to the healthcare community, maps COVID-19 clusters in the US, secures healthcare access to those without it.
How we built it
Our team used UI to create a mockup of the mobile app that allows users to walk through what the final product will look like.
Built With
ui
Try it out
crisplittlepackages.weebly.com | What We Feel | What We Feel is a mobile app that allows users to share their COVID testing results with the healthcare community, and which maps the landscape of the pandemic. | ['Jenny Cai', 'Amy Hoang', 'Jack G', 'Caleb Mei'] | [] | ['ui'] | 6 |
10,260 | https://devpost.com/software/vibes-up | Inspiration
Many of the members in our communities are experiencing mental health crises with the events that had unraveled, and we wished to change that. We wanted to help people cope with the stress of isolation, boredom, loneliness, and other feelings during these times of COVID-19. In order to achieve this, we created an app that would help people through these stressful times.
What it does
In order to help everyone cope with the current situation, our team has developed an app called Vibe Up!, which aims to improve their user’s mental health through several means. Its features include a journaling section, a daily inspirational quotes section, and a news section! All of these tools are meant to help better users’ mental health during troubling times, especially during COVID-19.
How we built it
We used a Google Sites to simulate what our website would look like. We incorporated some HTML for several aspects, including the Your Journal section and Daily Inspirational Quotes Section.
Challenges we ran into
We had trouble constructing the daily quotes section, since we wanted a quote to be updated daily. Some of us weren't very acquainted with code, but we were eventually able to figure it out.
Accomplishments that we're proud of
We're proud of being able to create this website to better people's mental health! It was cool being able to compile an assortment of resources to help others around the globe.
What we learned
We learned about the several ways people could alleviate stress, such as journaling and reading positive news. Additionally, we were able to also learn the process of making sites and what steps must be done in order to make one.
What's next for Vibes Up!
We will continue to spread news about Vibes Up! and continue to work in order to develop the app!
Built With
html
Try it out
sites.google.com | Vibes Up! | A mental health app made to help individuals cope with the emotional stress from COVID-19, based on neuroscience principles | ['Aniruddha Pochimcherla', 'Lillian Ho', 'Siddhant Karmali'] | [] | ['html'] | 7 |
10,260 | https://devpost.com/software/ppe-here-duqfz8 | With the disruption of massive supply chains due to COVID 19, medical supply and equipment are in danger of running short when they are desperately needed. There are multiple organizations that support healthcare facilities to supply their PPE. Recently, research is showing that well funded larger medical facilities are able to replenish their PPE supplies, but smaller hospitals in underfunded communities are are still seeing mass shortages.
Health care providers will recommend a patient to stay home if they have Covid-19 and do not have severe symptoms to help reduce the overcrowding in hospitals. For this reason, many patients are confined to their homes while infected. There are family members and loved ones taking care of these patients. We found there were challenges within communities, especially underfunded communities, in finding access to PPE to protect themselves from becoming infected. How can we reconnect communities to support the growing need of equipment to slow down the spread of COVID-19?
PPE Here focuses on the community; regular people who are not healthcare workers, but also need PPE to stay safe and avoid contracting the virus. It connects regular residents with local stores and pharmacies, allowing us to all participate in the prevention of the spread of COVID-19.
Users can view which stores nearby have stock on the PPE or disinfectants they are looking to buy.
Stores can participate by registering and inputting when they receive stock of PPE such as masks, and even hand sanitizers
As UX designers we are inspired by creating solutions to help the community. We build a prototype in Figma that address the issue at hand. We took an alternate approach to the problem, addressing shortages in the community because we realized that there were already many organizations addressing shortages in hospitals.
The next steps to improve this app would be to conduct further usability tests with high-fidelity users to determine what changes need to be made to the existing prototype. Additionally we need to build out the Store Owner section of the app which requires research along with user interviews, building a persona and designing that area of the application.
For the resident side of this app we would like to conduct further research to improve our design and build out the remaining pages.
Thank you for your time and listening to our presentation.
Built With
figma
uikit | PPE Here | Connecting residents to stores that carry PPE to protect their neighbors | ['Tara Jung', 'Patricia M'] | [] | ['figma', 'uikit'] | 8 |
10,260 | https://devpost.com/software/detecting-possible-cases-of-depression | Inspiration
During the COVID pandemic, mental health cases have spiked. The spike can be quantified by the comparison of 37% of the US population showing signs of mental health concerns before the lockdown. However, during the pandemic, this has risen to 49%. The number of suicides per day is increasing during the pandemic by threefold (WHO).
What it does
Our solution aims at detecting cases of depression or other mental health concerns through posts on social media made by users. Our Machine learning algorithm (Convolutional neural network) can detect cases of depression with upto 98.87% accuracy. Key point is, we are not diagnosing, but only detecting a possible case.
Further, if a tweet has been detected to show signs of depression, an automated message will be sent to the user stating "Hello, we hope you are doing well. If you need help with regards to mental health concerns, please contact Smaritans at 116 123. We work 24/7 and are happy to listen."
How I built it
We built this using Machine Learning frameworks such as tensorflow. We coded this is Python.
We built our automated messaging system using the Twilio framework in JavaScript.
Impact
Increased detection of possible cases indicating depression or other mental health concerns.
Preventing lives by timely detection of possible cases of mental health.
Providing right information at the right time.
Challenges I ran into
It was rather difficult for us to code in JavaScript but we managed to do it using various sources of help online.
Accomplishments that I'm proud of
Creating a full fledged Machine Learning model with an automated messaging system!
What's next for Detecting possible cases of depression
We realise that our model has been trained on a very biased dataset. So, we would like to gather a better dataset by scraping live data on broader keywords.
Built With
cnn
javascript
machine-learning
node.js
python
tensorflow | Detecting possible cases of depression | Our mission is to detect cases of depression based on posts on social media platforms through the use of machine learning. | ['Arushi Madan', 'Arun Venugopal'] | [] | ['cnn', 'javascript', 'machine-learning', 'node.js', 'python', 'tensorflow'] | 9 |
10,260 | https://devpost.com/software/qbuddy-6jr5xw | Here is our logo!
Inspiration
As teenagers, we were inspired by our own personal experiences with isolation during quarantine. We know millions of people around the world are struggling during this pandemic, and we think that a platform that can make meaningful connections, focused on self-improvement, can greatly boost one's mental health. Some type of social distancing or other restrictions will remain for some time, so we truly believe this platform can help people stay motivated.
What it does
Our platform connects people who have similar interests and goals in order to hold each other accountable during quarantine as well as offer some advice and motivation. It uses an augmented reality interface to add a social nuance to isolation and social distancing. In addition, it offers time for self-reflection by using a journalism and goal-setting mechanism. Also, QBuddy has an AR platform where users can mingle with each other to get a "social touch" while physically being distant. Lastly, something that's unique about our app is that we gamified the process and made the social distancing experience fun while staying at home!
How we built it
First, we outlined a plan of how we would like our project to progress. Then we split up the work and took turns working with various platforms. We created the user interface of our app using FIGMA and modeled various avatars using EchoAR.
Challenges we ran into
Our main challenge was integrating EchoAR. While there were some issues with the platform itself due to system overload, we were able to present our EchoAR idea during the demo.
Accomplishments that we're proud of
We are most proud of collaborating well while developing our idea and organizing our thoughts. In addition, we’re glad that we got past any hardships and challenges with ease. Some of our main milestones are developing user interface and incorporating augmented reality with EchoAR.
What we learned
When we were doing some background research and some market analysis we found several gaps and pitfalls that other platforms are experiencing. Then we build a collaborative and inclusive spirit to consider all ideas and successfully build our product. In a technical aspect, we learned how to design an app interface using FIGMA, interacting and utilizing EchoAR, and most importantly how to create an appealing project that connects multiple ideas.
What's next for QBuddy
The two main things we would like to expand with our idea is improving the augmented reality avatars. We truly believe that having AR incorporated into a social platform like this is truly unique and something we would like to add is an avatar builder where you can upgrade your profile and interact with other avatars.
Going forward with QBuddy, we plan on partnering with organizations like Best Buddies, as well as health professionals which could give users of our app the best experience in keeping them healthy mentally. Finally, we would also need to develop the backend of the app, as we built the user interface.
Built With
echoar
figma
Try it out
www.figma.com | QBuddy | Remedy for Social Isolation and Platform for Clinical Help with an Augmented Reality (AR) Interface | ['Suraj P', 'Haripriya Baskaran', 'Nic Conta'] | [] | ['echoar', 'figma'] | 10 |
10,260 | https://devpost.com/software/ml-doctor | The front end of our website where you can access both the diabetes detection page built with jupyter notebook and corona detection page.
Inspiration: We built this project because in our current situation, the coronavirus is becoming a a huge issue, and cases do not seem to be decreasing any time soon. The goal of our project is to decrease the test time for people all around the world by using multiple thousands of datasets to train our algorithm, ensuring that a false-positive result will not occur.
What it does: ML Doctor allows the user to enter in several symptoms that the suer has, and in turn gives the chance of having a certain disease, such as the coronavirus. Furthermore, other diseases can also be detected using this site, including Breast Cancer, and even Diabetes. This especially helps many people in low income areas since hospitals are crowded in those locations, and not many tests are administered in order to control the spread of the coronavirus. By using our website, people will be more willing to quarantine themselves if a positive result comes up, decreasing the spread of the coronavirus, even if it is just a small step.
How we built it: We built the website using HTML/CSS/JS. We build our Diabetes detection site using the Jupyter notebook and Python. We built out corona testing application using HTML/CSS/JS. We trained our algorithm for checking for the disease with tensorflow using several thousand data sets we acquired from both Kaggle and the Google cloud base.
Challenges we ran into: Some challenges we ran into along the way was figuring out how to train our data using tensorflow. This was our first time training a Machine Learning model, so it was not easy to find out how to train our model and incorporate it with our website without having to make significant changes to our design and functionality.
Accomplishments that we're proud of: We are proud of actually being able to build a machine learning tool that is functional and one that has a high chance of returning trustable results.
What we learned: We learned that building a machine learning model takes a long time. Training our model with several thousand data sets definitely took hours to accomplish, but at the end, the time put forth into this project was worth it.
What's next for ML Doctor: Our next objective is to expand the diseases ML Doctor can detect. By finding more datasets that we can train to make our machine learning model for ML Doctor more efficient, we can definitely impact a lot of low income areas that cannot afford testing, and even save many lives.
Built With
css
googledata
html
javascript
jupyter
kaggle
python
tensorflow
Try it out
github.com | ML Doctor | A machine learning tool trained on several thousand data sets to help decrease the test time of having the coronavirus and decrease the chances of receiving a false positive result. | ['Soma Tummala', 'andrew344c Chiang'] | [] | ['css', 'googledata', 'html', 'javascript', 'jupyter', 'kaggle', 'python', 'tensorflow'] | 11 |
10,260 | https://devpost.com/software/salusassist | Inspiration
Personal experiences living in Mexico and not being properly informed about authorities on how to take care and action. Most importantly, experiencing a loss after not having a hospital that could attend them.
What it does
Provides personalized medical information to users on caring about oneself and others in regards to COVID.
Finds nearby hospitals filtered with each hospital's purposes (COVID-19 only, medical emergiencies, etc)
Connects users with doctors virtually.
How I built it
Created prototype on figma.com
Challenges I ran into
OS compatability, logistics and business model
Accomplishments that I'm proud of
App design, layout and purpose of the app.
What I learned
Task delegation! Should have had more narrow priorities and communicated better as a team.
What's next for SalusAssist
Created a stable and web based prototype, test with local beta.
Built With
figma
react | SalusAssist | Personal Medical Information Gatherer | ['Xavier Balladarez', 'Ashley Zhang'] | [] | ['figma', 'react'] | 12 |
10,260 | https://devpost.com/software/coronacare-ai | Coronacare.ai - COVID-19 mental health chatbot
Inspiration
Our team was inspired to make this bot as a lot of people and workers have been personally struggling with the mental toll of the pandemic and staying inside during quarantine.We wanted to make this bot as alleviation to their struggles and also to provide valuable information at the simple send of a message.
What it does
It interacts with the user using NLP from wit.ai and provides vital info and support to the user during this time of COVID-19.
How We built it
We started with wit.ai and Facebook and setup webhooks and messenger from a Facebook app, using ngrok as a proxy server.
Challenges We ran into
We had some trouble parsing the response we got from the Coronavirus API we were using as well as had some problems with setting up to bot initially to work on the ngrok server, but we eventually got both to work quite smoothly.
Accomplishments that We're proud of
We're proud of solving the challenges listed above and making something that has the potential to be helpful, useful and supportive to many people stuck at home
What We learned
We learned how to work with APIs, how to integrate wit.ai with Facebook chatbot, and how to build a Facebook chatbot capable of responding on Messenger
What's next for Coronacare.ai
We are planning to add a lot more features such as matching with potential support/therapy groups and also a therapist matcher option in the future. Some other features coming soon should be more interactions and better training for certain action executions.
Built With
ngrok
node.js
react.js
wit.ai
Try it out
github.com
s-xuchr.github.io
m.me | Coronacare.ai | Coronacare is a chatbot tailored specifically for the needs of mental health and COVID-19 info during this hard time. | ['Albert Su', 'Ryan Kee', 'Christianna Xu', 'Emma Yokota'] | [] | ['ngrok', 'node.js', 'react.js', 'wit.ai'] | 13 |
10,260 | https://devpost.com/software/counselor-frank-a-i-powered-mental-health-expert | It is the solution to all the problems.
Built With
css3
html5 | Expert | Solution for all the problems | [] | [] | ['css3', 'html5'] | 14 |
10,260 | https://devpost.com/software/facefit-oaf1hx | Mask Frame
Picture of patient with Craniofacial Abnormalities
Picture of patient with Craniofacial Abnomalities wearing mask
Inspiration
The CDC, WHO, and many other prominent organizations in public health have said that the wearing of masks is crucial to preventing the spread of COVID-19. Currently, approximately 900,000 people worldwide face craniofacial deformities, making it far harder for them to wear a mask. Even if they end up wearing a mask, it is almost always a bad fit, defeating its purpose. To respond to this, we create
FaceFit
, a web application to build custom, personalized mask frames.
What is a mask frame?
A mask frame is an add-on to a traditional mask, which makes the mask a more snug fit. We included a picture of a traditional mask frame in the image gallery.
What it does
In the application, a user can scan their face. Using cutting-edge technology, including a VRM and AR, we construct a mask from a photo of one's face. Here is a basic control flow:
User takes a picture of their face
Image turned into 3D model via a VRM
3D model of mask frame created based on 3D model of face (Development still in progress)
OBJ file of the model shared with the user
User can see how the frame fits them with a mask using AR
How We built it
We used a Volumetric Regression Network (a VRM) to get a 3D model of one's face when given a 2D image, and connected this to our web app through the Flask framework. We also used echoAR to overlay a mask on oneself to give the user a feeling of how they would look when wearing a certain mask.
We used the following tech stack:
Flask
VRM CNN Regression
HTML, CSS, and JS
echoAR
Challenges I ran into
Through time zones, it was difficult to communicate with the team, especially on an online platform. However, we pushed through, and we were able to make it. Also, many members of our learned echoAR for the first time, so we faced difficulties in learning and using echoAR.
Accomplishments that I'm proud of
We're proud of having a semi-function prototype that generates a 3D model given a picture of one's face, and having a web application deployed. We also are proud of finishing our pitch deck and cementing our idea.
What I learned
We learned how to use echoAR and how to integrate echoAR with Flask. In addition, we learned about computer vision and VRMs. A few of our teammates didn't have a technical background and others didn't have a biology background. We were able to pool our knowledge to support each other and we learned a lot from each other, given our diverse set of backgrounds.
What's next for FaceFit
We hope to complete the algorithm to generate personalized mask frames, and deploy that on a complete website. We plan on making money via selling this to mask manufacturers (3M) and individual hospitals.
Built With
css3
echoar
flask
html5
javascript
python
pytorch | FaceFit | A Personalized Face Mask constructed via Volumetric Regression Networks | ['Vanessa Li', 'Shreya C'] | [] | ['css3', 'echoar', 'flask', 'html5', 'javascript', 'python', 'pytorch'] | 15 |
10,260 | https://devpost.com/software/old-aid-gl2bju | WE ARE THERE FOR YOU.
Inspiration
We have seen our seniors (Old-aged people) suffer due to this Covid-19 much. the fear, panic have been really cruel on everybody lately, but this kinda leaves this behind, where they felt alone at times and unable to do there daily routine work.
What it does
We connect Old people with other of them, to increase their interaction and help them kill this boredom and frustration of theirs of staying at home. It's quite obvious if you stay alone, this frustration can get really harsh on you and communication can always sort things. so let's make some new friends virtually, this quarantine. We also connect them to young volunteers to help them with their daily works of like grocery, essentials from markets or anything they require help with. We also run a self covid-19 test, by voice recording using Machine Learning algorithms and some set of questionnaire, which have been selected by having quite a look at study done by WHO on wuhan.
How we built it
Challenges we ran into
were mostly technical and with the data collection.
Accomplishments that we're proud of
to make such a platform where we can help our seniors to ease their life a bit emotionally as well as physically.
What we learned
Team work.
What's next for OLD-AID
We plan to launch it with our business plan as introduced.
Built With
keras
librosa
numpy
python
tensorflow | OLD-AID | We created an app for our Old generation. Where they can sign up to make some friends or could ask for help from volunteers as we know "It takes a friend to get through". | ['Shantnu Bhalla', 'Kuldeep Ravaliya', 'Tejasv Singh'] | [] | ['keras', 'librosa', 'numpy', 'python', 'tensorflow'] | 16 |
10,260 | https://devpost.com/software/careduet | Home Page
Celebrity Page
Duet Request Page
Visit now!
Inspiration.
'I can't leave. Nobody's leaving. I have to stay and help.'
That’s the words of Dr. Lorna Breen, the emergency room director of the NewYork-Presbyterian Hospital. At the end of her 12 hour shifts, she couldn’t leave all the COVID19 patients there, she wanted to help. On April 26, she died of suicide.
This is the reality that health-care front-line workers face on a day-to-day basis. The COVID-19 pandemic has increased work hours and made work conditions more life-endangering to millions of healthcare workers around the country, adding more burden to an already stressful job. These effects aren’t limited to healthcare workers: individuals all around the country have been forced to minimize time outside as well as social interactions, both of which have negative effects towards mental health.
What it does.
Introducing CareDuet.
The all-in-one platform that allows individuals to duet with celebrities to send messages to healthcare workers. This can be done in 3 easy steps.
Request
a celebrity to film a customized message.
Duet
. Add your own spin to a message.
Send
your message.
According to a study done by the National Institute of Health, after renowned actress Angelina Jolie discussed genetic testing for breast cancer, there was a significant spike in testing for breast cancer among the public, with this phenomenon being coined the Angelina effect by Time magazine. This can be extrapolated to our project, with celebrities speaking about mental health raising awareness about these issues, and encouraging people to monitor their own mental health.
How they built it.
The main functionality of this program was built on ReactJS, a javascript library for building user interfaces. We first made a sketch of the website in Adobe XD, then proceeded to create a UI design. We used react-webcam in order to record the videos for the duets and bootstrap for the forms. We utilized many firebase features to serve as our backend. Storage was used in order to get all of the duet videos, Firestore was used to store celebrity information, and Authentication was used for Google Sign-in. Given the short amount of time, we were not able to create a full-featured site, but the main features of our product have been implemented.
What’s next?
Our future plans consists of 3 main stages.
Stage 1
is Website Development and piloting. During this stage, we will be optimizing our features of the website and perform pilot tests in order to create a user interface that will cater to our target market.
Stage 2
will be creating a ramp up in marketing and promotion in order to get more celebrities and customers on the platform. We plan to use social media platforms and sponsorships in order to attract our users. We also plan to use a ramp up in customer acquisition cost through the use of incentives like affiliate.
Stage 3
is mainly about expansion into other target markets, like mental health help and music commissioning.
Built With
bootstrap
firebase
react
Try it out
careduet.com
github.com | CareDuet | A novel application that allows users to send side-by-side, personalized messages with popular celebrities to motivate, inspire, and bolster the mental health of front-line workers and patients. | ['Tevin Wang', 'Wesley Tjangnaka', 'Austin Wang', 'Lawrence Chen'] | [] | ['bootstrap', 'firebase', 'react'] | 17 |
10,260 | https://devpost.com/software/remedy-nam04k | N/A
Built With
n/a | Deleted | Deleted | ['Vivek I'] | [] | ['n/a'] | 18 |
10,260 | https://devpost.com/software/covresourcemanager | Front View of Project
Inspiration - My teammates and I are all passionate about social justice and reform. We wanted to create a program that can benefit each and every individual within our nation, regardless of ethnical, economical, and other underlying factors that may deprive individuals of their ability to obtain proper PPE. We hope that this program can benefit both patients and medics alike, as we unite as a nation to battle this ongoing pandemic.
What it does - It analyzes patient information to generate a critical scale for each patient, which then calculates the required number of equipment and their corresponding type for that patient. This information will be collective across all hospitals within a state to map the general needs for the state, and across all states within the nation to pass it onto a federal level.
How we built it - we built it through java, javascript, and html
Challenges we ran into - Initial attempts to implement machine learning: we were unable to access sufficient and adequate training data for the neural network program. Thus, we had to improvise and implement a different algorithm to calculate a patient's critical level. Implementing the visuals were a lot more difficult than writing the code that represents the raw source files.
Accomplishments that we're proud of - The scale of this project is beyond anything we have ever accomplished in the past: from brainstorming ideas to developing its solutions to writing the codes to implementing the visuals. We are proud of the collaborative effort from our researchers to computer scientists that made this happen. We are also glad that we can come up with ideas that help the nation as a whole during these difficult times.
What we learned - The difficulties and challenges of developing a full front to back end software application as well as the pride after developing a working program.
What's next for COVID Resource Manager - Instead of using math to hardcode the general rules for what classifies a patient as critical, we want to be able to use machine learning in order to more accurately and flexibility calculate the critical stage of Patients.
Built With
html
java
javascript
Try it out
github.com | COVIDResourceManager | Implementing for more precise and timely delivery of PPE's across the entire nation | ['Anthony Chen', 'Felix Zhu'] | [] | ['html', 'java', 'javascript'] | 19 |
10,260 | https://devpost.com/software/healthstream-w786mu | Inspiration
Limited technological prowess in older generations, isolation due to the pandemic, and a lack of an accessible video calling service for older groups.
What it does
HealthStream is a video calling website built specifically for use in hospitals and nursing homes for the purpose of easily connecting elderly patients with their loved ones through technology. EyeCamC is a new device that tackles the potential problem of limited technology in caring centers, needing only a display to provide full access to our website.
How we built it
HealthStream was made using HTML Proof of concept video uses linkello.
EyeCamC design:
Camera
$8.79
:
https://www.amazon.com/dp/B07L82XBNM/ref=asc_df_B07L82XBNM/?tag=hyprod-20&linkCode=df0&hvadid=343234125040&hvpos=&hvnetw=g&hvrand=16379154497705213898&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9031523&hvtargid=pla-717544328579&psc=1&tag=&ref=&adgrpid=68968886317&hvpone=&hvptwo=&hvadid=343234125040&hvpos=&hvnetw=g&hvrand=16379154497705213898&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9031523&hvtargid=pla-717544328579
Microphone
$5
:
https://kjdelectronics.com/products/adafruit-mini-usb-microphone?variant=31088792076406
RaspberryPi
$45.50
:
https://www.amazon.com/Raspberry-Model-2019-Quad-Bluetooth/dp/B07TD42S27/ref=sr_1_3?crid=T2UQMUGMFBPH&dchild=1&keywords=raspberry+pi+4&qid=1592107796&sprefix=raspberri+p%2Ctools%2C214&sr=8-3
Plastic enclosure, 6 in^3, $0.65 /in^3 so $4 per enclosure, in addition to a $1 cost for renting 3D printers.
$5.00
Power Supply
$8.00
:
https://www.pishop.us/product/raspberry-pi-15w-power-supply-us-black/?src=raspberrypi
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for HealthStream
If the project moves further, we would first start with a trial run at a local hospital or nursing home for 3-6 months as well as limited production of our EyeCamC devices.
Built With
html
linkello
Try it out
drive.google.com | HealthStream | Video calling service built for elderly patients in hospitals and nursing homes and a compatible camera device. | ['https://drive.google.com/file/d/1Pxg7gN9My18X-lyKqLL2s9JKCTxHGddP/view?usp=sharing', 'Kevin Thai', 'Andrew Jockelle', 'Jacqueline Thai'] | [] | ['html', 'linkello'] | 20 |
10,260 | https://devpost.com/software/moodjournal-5cu8eq | Inspiration
We were inspired by the issues that COVID-19 highlighted and exacerbated with people's mental health, so we wanted to create something that helps the community and supports individuals through the uncertainties that this pandemic has created.
What it does
The product, MoodJournal, has a built in daily mood tracker for users, as well as a place to input journal entries and to do lists for personal reflection and productivity management.
How we built it
We built the prototype of our app on the Thunkable platform and designed interactive graphics using Adobe software.
Challenges we ran into
Given our fairly limited coding experience, we chose to use Thunkable as a way to gain exposure to app development. Nonetheless, this was still a challenging experience overall because we had to learn how to use the site first, then figure out how the app interacts with user input, and how the user interacts with the app itself (ie. swiping between screens, data collection and creation, etc.). In addition, we learned how to use applications such as Adobe XD to produce our own graphics and designs, rather than relying on premade ones from the Internet, so it took a while to get familiar with the software.
Accomplishments that we're proud of
Overall, there were definitely a lot of challenges that we faced, but it was an incredibly rewarding experience in both developing and designing an app. We learned how to create something interactive that featured our own designs and user data. Ultimately, we're proudest of the way our final product took the challenges we faced and made them into something useful.
What we learned
We learned so much about design, interaction, and app development. Through this experience, we also learned how to plan and model—to take a potential solution and use technology to make it a reality.
What's next for MoodJournal
We hope to spend these next few months learning how to code in Swift and be able to produce a similar app for iOS use so that more people can have access to it. In addition, we hope to continue improving it and making it an even more functional journal for people to enjoy.
Try it out
drive.google.com | MoodJournal | a bullet journal inspired mental health tracker | ['Helen Yang'] | [] | [] | 21 |
10,260 | https://devpost.com/software/statmobile-gne1sf | App Logo
Inspiration: One of the largest issues today in Southern California is the under and overestimation of the risk of exposure to COVID-19. With the recent easing of mask regulations and the reopening of businesses, there is a high chance of a second wave of corona infections in our area. Additionally, COVID-19 has had a serious impact on small businesses. Approximately 100,000 of them had already closed down as of May, with millions more at risk, and it is important to support local businesses during this time. It is necessary to take measures to effectively stabilize neighborhood businesses and ensure the safety of the public going forward.
What it does: STATmobile has two main goals: ensuring public safety and promoting local businesses. To fulfill our objective, STATmobile will fluidly integrate local, regional, and global data to personalize your risk evaluation. One feature anonymously assesses your probability of infection with relevant symptoms and provides a list of accessible testing and treatment locations if needed. The location search function will calculate a specific location’s risk percentage of infection based on your age group and estimated time to spend there. If there has been an infected person at a location you searched for within the last 14 days, you will be notified of possible exposure. The app also shows what times the store will be most populated, which allows you to take preventative measures. STATmobile also strives to promote local businesses to help support them in this time of uncertainty.
How we built it: We took publicly available databases and existing systems, then integrated the data in a comprehensive manner to quantify risk and present it to the user. Using MIT AppInventor, we created a prototype of the app to demonstrate its basic intended features. Computation of the percent risk is performed internally and relies mostly on variables taken from public databases and business input, but also includes those supplied by the user.
What’s next: We will include more locations around the world and extrapolate data for people without access to technology. We will also expand app functionality to remain relevant after the COVID-19 pandemic for tracking other illnesses and infectious diseases. Additionally, we will maintain the accuracy of our app by implementing human verification or proof of location. | STATmobile | stabilizing local businesses and ensuring public safety by quantifying the risk factor of going outside | ['Nina Takashima', 'Lynette Chan', 'Shivana Anand'] | [] | [] | 22 |
10,260 | https://devpost.com/software/the-gratitude-book-gzy1et | Inspiration
Our personal experiences have shown us the benefits of getting outdoors to combat quarantine fatigue, especially among students and young adults who are healthy enough to explore nature, and boost mental health. Our vision was to shed light on the good memories, like exploring the outdoors and sharing moments with family and friends. The visual nature of the collection of daily photos emphasizes positivity and reflection on better times.
What it does
The Gratitude Book promotes regular local excursions by providing accessible daily challenge prompts that emphasize simple aspects of nature. Users can see successful challenge images that have been posted in a 10 mile radius to discover new locations to visit that have been shared within their communities.
How I built it
We built the prototype using Figma, a collaborative interface design tool, that allows us to present a functional simulation. The simulation was then implemented using Xcode.
Challenges I ran into
While going outside can help people cope with quarantine fatigue, we were concerned that our application would promote in-person gatherings or relaxation of public health guidelines. We addressed this problem by encouraging location diversification and adding a list of reminders for common safety guidelines.
Accomplishments that I'm proud of
Our group entered with minimal medical background but a shared ambition to tackle a common issue faced by young adults in today’s COVID affected world. With that goal in mind, we were able to build a functional prototype within a weekend!
What I learned
We were able to implement the app development process for a common problem due to the difficulties posed by lengthy stay-at-home orders and the fear of going outdoors.
What's next for The Gratitude Book
We envision a continuation of the design process where we would implement additional features such as location “bookmarking” and a cloud-based viewing of community submissions within a local radius.
Built With
figma
xcode
Try it out
drive.google.com | The Gratitude Book | Capturing positive memories with exciting daily outdoor challenges and gratitude reflection that can be shared with a community network. | ['Ananya Karra', 'Pooja Kowshik', 'Jingwen Hu', 'Elsa B'] | [] | ['figma', 'xcode'] | 23 |
10,260 | https://devpost.com/software/ari-cm-0yuzrj | For this 2020 Covid-19 Contest, as a group of high schoolers, we selected a project relevant to us - finding the risk of infection(using a risk index) and the number of masks needed for specific schools to keep everyone as safe as possible when schools reopen. This is important because we don’t want the pandemic getting worse again when schools start again. Schools are one of the most high density areas so it is crucial to prepare precautions for when school reopens. When making our project, we took in data from different schools like the age range, total people, square footage, and other factors to determine how risky it is for different schools to reopen, and the number of masks needed to reduce mitigation as much as possible.
ARI-CM utilizes user defined data points for school selection and mask distribution as well as algebraic formulas to calculate a risk index and mask numbers for schools. The program itself is written in Python code and consists of two functions - Calculate Risk Index and Calculate Mask - and one list-School List. Calculate Risk Index serves the purpose of correlating data points received from its parameters. From the HTML front end, Calculate Risk Index intakes school data, such as location, population, race distribution, and campus size, and a numerical value representing the percentage of students wearing masks. The latter is an interactive element that allows the user of ARI-CM to visually see the impact that mask usage has on the risk of COVID-19. Once these values have been obtained, the function runs through a series of if statements that check if the school satisfies certain predefined specifications.
Using an algorithm, users can select a school percentage of people wearing a mask to determine the likelihood of someone getting infected. The algorithm returns with a risk rating from 0.33 to 9.33. This warns the user of the potential risk at the school and lets them know if they should take additional precautions.
Using our website’s dashboard, school administration can use a straightforward and user-friendly process to get a clear estimate of a risk rating and the recommended amount of masks for the school. They would fill out their school, which would get location, amount of students and other factors, and percentage of people wearing a mask in two simple boxes. This can help with making sure that the school is safe and reduces the risk of infection.
Built With
css
html
javascript
php
python
Try it out
github.com | ARI-CM | Hackathon | ['Mae King', 'Joshua Tian', 'Colin Yang'] | [] | ['css', 'html', 'javascript', 'php', 'python'] | 24 |
10,260 | https://devpost.com/software/ppeportal | main priority list
print label feature
Inspiration
We were inspired by the system used by Ebay and Amazon in which they use stickers to facilitate shipping.
What it does
Our site features a list of participating medical centers that are in dire need of PPE for their workers. Hospitals can join the program on their, or our request (if they accept the offer) and are able to be added to the network in minutes allowing for rapid expansion of the site. Based on intermittent surveys completed by participating hospitals, an algorithm calculates the hospitals in the most need and on our homepage and organizes them into a simple chart with the highest priority hospitals at the top. This chart is continually being updated so users can see the most recent information on where the most donations are needed. By simply clicking on the medical center you’d like to donate to, you will be prompted to print a pre-made shipping label. Some medical centers don’t accept donations, and many that need the most help are far away from those who’d like to donate.
How we built it
We used Node.js for backend, constructing a simple Restful api which serves all our pages and necessary data.
Challenges we ran into
Infrastructure constraints with our project idea, since most hospitals don't publicly list PPE supply counts.
Also just general design, trying to make a stable and somewhat dynamic system.
Accomplishments that we're proud of
We are proud to have been able to make a working prototype as well as being able to complete the hackathon as this is our first hackathon that we have attended.
What we learned
That we need to establish connections to hospitals and organizations in order to get the data necessary for ranking.
What's next for PPEPortal
Finish the site and ranking process, and establish connections to allow us to receive data (Like PPE reserves) from hospitals and organizations.
Built With
jquery
node.js
Try it out
ppeportal.glitch.me | PPEPortal | Have you wanted to donate, but get lost in the vast amount of organizations to donate to? Well then PPEPortal is perfect for you, we rank organziations based on PPE supplies and direct you to them. | ['Jordan Mesches', 'Stephen Dong', 'Drew A'] | [] | ['jquery', 'node.js'] | 25 |
10,260 | https://devpost.com/software/connectioncollection | Inspiration.
People experiencing loneliness or depression who need support from their friends and family
What it does.
People feeling lonely can reach out to friends and family for words of affirmation. They can collect a library of messages that they can play any time.
How we built it.
Adobe XD layout and flow prototype. Flask and Twilio API backend.
What’s next?
Secure initial funding to develop this prototype app to a point where it can be used in proof of concept trials.
Get the app in the hands of local therapists and mental health hospitals
Secure grant funding from the US Department of Health and Human Services (as well as other options).
Built With
adobe
flask
python
twilio
xd | ConnectionCollection | People feeling lonely can reach out to friends and family for words of affirmation. They can collect a library of messages that they can play any time. | ['Mckinley Mcquaide', 'Gary M'] | [] | ['adobe', 'flask', 'python', 'twilio', 'xd'] | 26 |
10,260 | https://devpost.com/software/cc93-innovated-custom-face-mask | here's an extra Pepe meme
section view of the check valve
concept sketches
Inspiration: N95 and face mask shortage in America
What it does: an easily-accessible face mask idea. Most people can get these materials locally and build the CC93 mask themselves.
How we built it: slide shows, Google Docs, WeVideo for presentation. For the prototype: NWPP, coffee filters, AC HEPA filters, peppermint oil, 3D printer and plastic, paper clip, elastic bands, and some brain cells.
Challenges we ran into: it was really hard to work at night.
Accomplishments that we're proud of:
What we learned: Never slack until 1AM to do you part.
What's next for CC93: Innovated Custom Face Mask: since this is a concept, we will definitely innovate this concept even further until we can build some prototypes ourselves. We care about how people can get materials for custom face masks easily. | CC93: Innovated Custom Face Mask | How can we pitch this big-brain, myth-busting, and somewhat random PPE innovation idea. | ['Damian Yang', 'Chelsea Wang', 'Sabrina Ha'] | [] | [] | 27 |
10,260 | https://devpost.com/software/darwin-ppe-supply-and-allocation-analysis | Inspiration
We were inspired to create this program by the federal government's current role in handling this crisis with the national supply of PPE and we believed that a better, data-driven system could help save more people from being sick and guide the government to do a better job.
What it does
Our program first models the spread of Covid-19 logistically using real data and input from the CDC and IHME of confirmed and projected estimated (in a month) infected cases. It then, given a fixed number of PPE units, optimizes how to best distribute these units to minimize the actual value of these 1-month predictions.
How we built it
We were first able to model the growth of infected cases with a logistical curve, using the total population of each state as the carrying capacity and the confirmed vs. projected estimates to model growth rate. A single PPE unit, for the purposes of the demo model, decreases the carrying capacity of infected cases by 1, to model that one unit of effective PPE will protect one individual in the population from the spread of Covid-19 (the model is flexible, ie, if the user wanted specific types of PPE, they could change the degree of which the carrying capacity decreased). We then refined our PPE distributions with evolutionary programming. Our program makes adjustments to minimize the number of people sick.
Challenges we ran into
We initially had difficulties with finding reliable public data on infectious projections but were able to find data from IHME(Institute for Health Metrics and Evaluations)'s website and statewide data from the CDC. Creating an accurate logistic model with a carrying capacity of the entire population using the current infected and predicted infected was also difficult.
Accomplishments that we're proud of
We were proud that or evolutionary model was shown to adapt reliably to the initial conditions of states given and the total number of PPE units available, and also the video/ powerpoint pitch, given that we did put a lot of effort into being able to communicate our vision.
What we learned
We learned more about the processes and the full complexity behind handling public health crises from a fiscal perspective and the efficacy of evolutionary programming to adapt after several iterations of refining PPE distributions
Due to the accuracy of our model, we were also able to discover interesting insights about the best ways to distribute PPEs even from the model's results during testing alone.
What's next for Darwin: PPE Supply and Allocation Analysis
We would like to expand the capabilities of Darwin, and possibly use an algorithm based on several other factors such as the population density and their level of quarantine. This would have to be validated with actual data, which may be difficult to obtain from CDC and other sources. Also, we can potentially model the spread of Covid between regions, across state and local borders, and apply this model on a more micro scale to individual counties or even hospitals, which could benefit from this program. We can also enhance of model to optimize PPEs distribution over multiple months for a more fleshed-out distribution plan. The biggest obstacle to these future works would be obtaining accurate data to base our models off of to predict the spread of disease in an area.
Built With
java
Try it out
repl.it | Darwin: PPE Supply and Allocation Analysis | Using evolutionary programming to optimize PPE distribution with logarithmic predictions for future disease spread. | ['Carly Zhou'] | [] | ['java'] | 28 |
10,260 | https://devpost.com/software/covidflow | CovidFlow logo
Inspiration
When coming up with a project idea, we saw two main problems:
Healthcare is not user-friendly, especially with respect to certain demographics: dyslexics, visually-impaired, the elderly, etc.
Lack of testing and availability of tests for COVID-19
These problems compelled us to provide an alternative, novel risk assessment tool that would solve the user-friendly/personalized problem and the testing problem.
What it does
As part of a more general tool to read custom voices from any webpage, we built a seamless, fast, easy to use, interface using a WHO-certified COVID-19 risk assessment test that is personalized and user-friendly. To demonstrate its multifaceted capabilities, we demonstrate Donald Trump taking your diagnostic tests with Obama reporting your results. While this component of the project is purely for comedic and demonstration purposes, we note that
any
voice could be used, which means that we are one step closer to a more personalized healthcare experience for patients.
How we built it
We used cutting-edge deep learning techniques, and used a deepfake library (
https://github.com/CorentinJ/Real-Time-Voice-Cloning
) to provide voice generation capabilities. Furthermore, we streamlined a data pipeline for fast detection of on-screen text and speech generation. Our web server functionality was developed using Javascript, HTML, CSS. Finally, we ensured that our test complied with WHO guidelines by using a publicly-available diagnostic test workflow provided by Infermedica's (
https://infermedica.com/
) APIs.
For deepfakes, we utilize a multi-network model trained using transfer learning on only hours of voice data. Initially, the embedding network generates a low-dimensional fixed-sized embedding for a given short voice waveform sample; this embedding is essentially a “voice profile.” Then, we use this embedding with a seq2seq synthesis network to generate a mel spectrogram conditioned on the text (obtained via our screen reading code). Finally, we use a Wave-RNN vocoder to convert this mel spectrogram into the time domain, generating a complete deepfake waveform. Then, this .wav file is played in real-time to dictate screen text.
Challenges we ran into
We ran into many technical challenges. One of the most difficult challenges was simply connecting together all of the components: Infermedica APIs, the deepfake library, and a web server to handle the text reading and processing.
Accomplishments that we're proud of
We're proud of having built a piece of software that could potentially be used in many other contexts, providing a more user-friendly interface in the healthcare space.
What we learned
We learned about web development, some machine learning, and perseverance in the hopes of a final product.
What's next for CovidFlow
The vision of CovidFlow is to extend our initial project into a company focused on user-friendly healthcare. The last thing that a patient wants when he/she is experiencing intense pain is to go through an unpleasant experience. We seek to utilize our backgrounds in technical and biological fields to realize user-friendly solutions to currently inefficient processes, and this is our first step.
More short-term, we would like to enhance the technology by being able to handle large webpages, increasing time efficiency (by parallel processing and server-side GPU processing).
Built With
css
html
javascript
python
pytorch
tensorflow
Try it out
www.youtube.com
www.youtube.com | CovidFlow | Give a three second voice sample, and we have made it possible to have that voice read any piece of text you want. This hackathon project features a COVID-19 diagnostic test in Donald Trump’s voice. | ['Ashutosh Synghal', 'Rodrigo Castellon', 'William Wang'] | [] | ['css', 'html', 'javascript', 'python', 'pytorch', 'tensorflow'] | 29 |
10,260 | https://devpost.com/software/seeking-for-covid-19-testing | Inspiration: Both of us have parents who don't understand English well and don't really know how to use technology and navigate their way through websites and apps. From this, we wanted a way for people like our parents to have a simple way of getting more information and learning about what they can do to help themselves, and possibly protect others, during the pandemic.
What it does: The app provides a multitude of information on a singular platform for users to access easily. It allows them to see the nearest testing sites and medical facilities, and some information that can be found include the amount of resources they have, how many people they are currently helping, what tests they offer, and other information they may add. These locations will be able to update their information through the app for the general public to see. The app will be available in multiple languages
How we built it: We actually have not been able to build our app in time for the submission, and we essentially lack the knowledge to create our app. However, we are more than willing to learn how to begin working on our project, and we would really appreciate being able to further develop our app. We came up with all the elements we'd like to include in our app for our project submission.
Challenges we ran into: The main challenge we ran into was incorporating aspects into our app to make it unique from other websites and apps. Many types of apps and websites have been created due to the pandemic that help people look for resources and testing sites. We had to come up with a lot of different ideas to be able to make our app different and prove that it is worth developing.
Accomplishments that we're proud of: Honestly, being able to follow through with our idea, hitting all the guidelines required, and submitting our project is an accomplishment we are truly proud of. No matter the outcome, we are happy we participated and were able to build on an idea.
What we learned: Not only did we gain experience from working on our project (especially within 24 hours), but we also learned a lot from the workshops offered on the first day. For us, the workshop regarding business and entrepreneurship really helped us understand more about what the field is like and how it works in real life situations.
What's next for CoronaMaps - An Easy Way to Seek for COVID-19 Testing: Ideally, we would like our app to benefit people affected by the pandemic worldwide and make it available in many languages. If self-testing kits become approved of and available, we would like to include a way for people to request them through our app. If our app were to successfully be implemented into the world, after the pandemic, we want to possibly modify it to fit everyday needs, such as providing information about a dermatologist or an ophthalmologist for someone. | CoronaMaps - An Easy Way to Seek for COVID-19 Testing | A simple, convenient application allowing users to find testing sites and medical facilities that are near, along with information about testing types, resource availability, and service availability. | ['Nellie Nguyen (Student WHS)', 'Ashley Nguyen'] | [] | [] | 30 |
10,260 | https://devpost.com/software/medgear | MedGear
The Problem
The Solution
Home screen
Donation Types
Visualizations of PPE prioritization
Inspiration
After hearing about people who had panic-bought too much PPE for personal use, we were inspired to make a tool that lets people donate their extra masks and gloves to hospitals. We expanded this idea to include all types of medical supplies to all types of medical facilities with donations by not just individuals, but also teams and organizations. Sandy Oldfield’s story, as mentioned in the demo video, has greatly inspired us to take action regarding this global issue, especially during COVID-19.
What it does
The right solution at the right time — COVID-19 has demonstrated that we need a way to get supplies to hospitals, and an efficient way of distributing these resources from donors based on prioritization of hospital needs. However, many potential donors are not aware of where to donate in order to make the biggest impact out of their PPE donation. MedGear is a React.js web app that organizes PPE donations. It connects donors with nearby hospitals, nursing homes, and other medical facilities by showing which places need it most. Medical facilities can post how much of what supplies they need and donors can schedule PPE deliveries. Thus, MedGear connects local, regional, and global resources to slow the spread by helping out PPE distribution.
How we built it
We built this project by making a prototype of the app using React, Node.js, and Firebase which provided us a real-time database, authentication, and back-end as a service. The NoSQL database with 256-bit encryption allows users to securely request and donate supplies. We made two different interfaces, one for donors to login into, and one for medical workers to log into. This way, medical facilities can request supplies, and volunteer distributors and donors can provide the necessary PPE for specific facilities. We also made a visualization and notification system to increase donations using COVID-19 dataset. In order to leverage React, we made appealing UI/UX background using Canva and integrated them into the app.
Challenges we ran into
We faced obstacles in planning a business model for our project. As an app that relies on the selflessness of others, it was difficult to find ways to generate revenue and cover expenses without being hypocritical to the spirit of donations. In the end, we decided on charging hospitals a very small fee of all donated PPE; much less than the cost of buying it but enough to cover server expenses. Getting the authentication for the users to work was a challenge as well with Firebase, in order to have a more secure platform. Another challenge we faced was linking the hospital’s supply requests, including type and amount, to the donor’s portal to show this information for the corresponding hospital.
Accomplishments that we're proud of
We’re proud of our unique key features that make donating more interactive and engaging:
Real-time data visualization of PPE requests.
Predictions for where PPE stocks will run out next
Gamification that awards users points for how much they donate to encourage friendly competition.
We are also proud of being able to develop a prototype of this app, and that our solution will be functional after the pandemic to keep people safe, and give them access to medical care when they need it. Also, we were able to apply many of our skills to this project from full-stack development to data analysis, and build a scalable model.
What we learned
MedGear was excellent practice in combining CS with business planning. Having an app that engages with communities adds complexities like quality control, user engagement, and incentivization. This was a new experience for us which helped not only improve our programming skills, but also our business skills by developing a model, taking in count our target market, costs, scalability, and future plans. On the technical side, we learned how to integrate Firebase into our app in order to have a secure authentication process, as well as using React to build an adaptable prototype. Also, we learned how to integrate a map interface into our project using Folium and Leaflet to display nearby hospitals by PPE prioritization.
What's next for MedGear
In the future, we plan on completing our frontend and backend by July and then launching in a small community. Starting in a small community will help engage users on a more personal level and help the app gain traction while also giving time to test our scalability. Social media interaction will play a role in our plan to get the app to users as well. We will also reach out to makerspaces and online maker communities, local government, and universities to incentivise student adoption. Also, we have plans to add:
A prioritization algorithm that flags which facilities need PPE the most
Quality and quantity confirmations by facilities that receive PPE
A feature to post/share your donation and challenge other people to donate more
A system of middlemen to pool deliveries
To reach out to major companies for donations
Built With
css
firebase
html
javascript
leaflet.js
node.js
react
Try it out
github.com | MedGear | Linking communities in contributing to the fight against PPE shortage | ['Alex W', 'Benjamin Schussheim'] | [] | ['css', 'firebase', 'html', 'javascript', 'leaflet.js', 'node.js', 'react'] | 31 |
10,260 | https://devpost.com/software/easier-gxrq8a | EasiER Concept Board
Inspiration
The COVID-19 pandemic is decimating an already under-resourced and overburdened rural healthcare system. Because rural emergency rooms serve as safety net hospitals for patients with nonemergent conditions, rural emergency rooms are plagued by longer wait times and wasted resources. As a result, patients with both emergent and nonemergent conditions receive inconsistent, lower-quality care, potentially resulting in worse outcomes.
What it does
EasiER is an app that enables patients with nonemergent conditions to save a place in line at rural emergency rooms. The app improves the patient experience, streamlines workflow, and provides resources that facilitate less expensive, acuity appropriate care.
How I built it
We used the React Native framework as well as the libraries mentioned above to build the front-end app prototype. The back-end developments including data encryption, transfer, storage, and processing are currently in the process of being developed.
Challenges I ran into
We considered multiple legal and ethical implications while designing the app, including patient data security and the Emergency Medical Treatment and Labor Act. Evolving policies and procedures, especially at the systems level, will continue to affect further app developments. We will consult rural emergency medical directors and healthcare administrators for guidance, as well as adopt multiple encryption and research secure data transfers to REDCap.
Accomplishments that I'm proud of
The collaboration between our diverse team members that resulted in an app with immense potential to tangibly improve rural emergency care is a tremendous accomplishment.
What I learned
Rural healthcare is under-resourced and overburdened, especially now during the
COVID-19 pandemic. Innovative solutions are urgently needed to address the problems affecting rural emergency care.
What's next for EasiER
Our next steps include continuing to make our app's data encryption as robust as possible and contacting rural healthcare systems via healthcare practice management services. With the help of VC funding, we hope to partner with emergency departments in rural areas and begin testing the product at the local level. After implementing the application locally, we would then implement the product at the systems level and engage in continuous quality improvement.
Built With
moment.js
react
react-native
react-native-gesture-handler
react-native-maps
react-native-material-dropdown
react-native-navigation
react-native-paper | EasiER | EasiER is an app that enables patients with nonemergent conditions to save a place in line at rural emergency rooms that improves patient experience and facilitates low-cost, acuity appropriate care. | ['Sierra Makana O Ke Akua Burgon', 'Nick Hakes'] | [] | ['moment.js', 'react', 'react-native', 'react-native-gesture-handler', 'react-native-maps', 'react-native-material-dropdown', 'react-native-navigation', 'react-native-paper'] | 32 |
10,260 | https://devpost.com/software/papr-light-ls6gjd | ......
Try it out
devpost.com
devpost.com | . | .... | ['Mohamed Hany'] | [] | [] | 33 |
10,260 | https://devpost.com/software/kitler | These were the results of some market research that we conducted.
Inspiration
Millions of Americans are obese and with the rate of obesity only growing something had to be done. Our group did some research and we realized that the main challenge people faced when working out was the
lack of motivation
. We had our core problem and as we conducted more and more research on fitness and the lack of exercise we were able to come up with Kilter which targets obesity at its root to create a more motivating and rewarding workout experience.
What it does
Exercising can be a hassle; not only is it impersonal, but it is often inconvenient, and therefore, we often fail to see the results we desire. Let us introduce you to our app
Kilter
, a first-of-its-kind fitness app which combines the rapidly expanding market trends of both personal training and a cashback reward system, all at a lower price than our competition. The large majority of health app users are not willing to pay for the app, so let's start off with the complementary aspect of our service. The free version of our app provides users with guided exercise videos in areas such as cardio, weightlifting, and calisthenics. We will also run ads during the video to profit. The trainer of the video will recommend that the user records a 1 minute video of them performing the exercise, and the user can choose to submit this video to the Kilter team to be validated. The user will then receive in-app currency to use in the app’s shop. As one of our potential customers stated in an interview,
“Money is a big incentive”
for people to complete fitness challenges. Furthermore, companies advertising in the Shop offer another viable revenue stream. And similar to the app Sweatcoin’s system, users can pay to submit more videos per day. Of course, our video submissions will comply with HIPAA in order to maintain the trust of users, sponsors, or companies that underwrite our solution. However, if a user wants a more personal experience, then our app also provides a paid service. For a price lower than gyms and our competitors, the paid experience of our app is a subscription based service where users can buy virtual training sessions with certified personal trainers. While other companies, such as Peloton or Skimble, offer online personal training, neither gives the user 1-on-1 video calling sessions, which Kilter would offer in order to add another revenue stream.
How we built it
We used
HTML and CSS
to build the webpage. Our backend developer was not present so we were unable to make the backend of the app.
Challenges we ran into
We were missing a key team member which really put a wrench in out plans, as a result we had to make do without a backend and out website was not as robust as we would have liked.
Accomplishments that we're proud of
We are proud that we were able to translate our idea into a
functioning webpage
!
What we learned
We learned how to link
HTML and CSS.
We learned how to use an essential skill for all coders,
Git and GitHub
. We also learned how to host a website on
GitHub
.
What's next for Kitler
We hope to get some funding so that we can develop the
website/app
in a more robust manner and so that we can also market our app once we finish developing it!
Find out more about the idea
A
google doc
with more information :
https://docs.google.com/document/d/15ymF2LfmkNsf3qw60XlfBjSdgwnFXub8hwiLBy24Huk/edit?usp=sharing
Our
facebook page
with potential customers:
https://www.facebook.com/fitnesskilter
Link to
Website
https://akhilr0.github.io/
Built With
css
html5
Try it out
github.com
akhilr0.github.io | Kitler | Kilter is the first app to combine the two market trends of 1-on-1 personal training and a cashback reward to provide a more motivating workout experience. | ['Gaurish Lakhanpal', 'Subham Mitra', 'Akhil Ramidi', 'Lance Locker'] | [] | ['css', 'html5'] | 34 |
10,260 | https://devpost.com/software/covidscreen | Home Screen, where the user clicks to begin his quick screening.
First question of the questionnaire, begins with a bullet point list of severe symptoms.
Results, one of the multiple diagnoses that a user can receive based on their inputs.
Inspiration
With the second wave of COVID-19 surging globally, there's a shortage of applications that combines the anonymous simplicity of a quick questionnaire with a powerful diagnosis. CovidScreen does exactly that.
What it does
CovidScreen asks a series of questions and symptom lists to check off. In just 6 series of in-depth selections, the application gives the user an ensured decision regarding their next steps in handling their potential case of COVID-19. The appealing User Interface makes it easy for anyone around the world to take a quick and effective diagnosis that can be completed in one minute. It first prompts the user to "Start Screening" with a button in the middle of the page. Once it is clicked, the next component will appear. It asks the user to select their age -- whether they are 18 years old or younger, 18-64 years old, or 65+ years old. If they are 18 or younger, it displays that the tool is only designed for people that are older, and directs them to learn more at cdc.gov. Then, it asks the user for present symptoms, past conditions, exposure, and travel to present their screening result at the end.
How I built it
I built CovidScreen using ReactJS, HTML, CSS, and other packages for simplistic user experience. With a series of React Hooks to monitor the user's clicks and selections, I was able to create an interactive environment flowed with the patient's progress on the webpage. The forms, radio buttons, and checklists were used throughout CovidScreen to keep track of their choices after they click "submit." At the end of the questionnaire, they are given a diagnosis out of a pool of multiple results, based on their number of symptoms, exposure to other COVID-19 stricken people, whether they traveled internationally, and more. With a variety of conditional operators, the case is made confidently.
Challenges I ran into
I found it a bit tough to keep track of all the React Hooks that monitored the user's progress on the webpage. I had 10 Hooks that kept track of the user's checks, clicks, and submissions. However, I learned to effectively organize the components in order to give the patient a direct answer from the states of the buttons and checklists.
Accomplishments that I'm proud of
I'm proud of configuring my first web application with React. Although I struggled initially with setting up the environment and IDE, I was able to design a user-oriented product that can be implemented virtually anywhere.
What I learned
I learned how to make a full-stack application and utilize React. I also learned to organize my code effectively so that I can see where any potential errors may lie.
What's next for CovidScreen
In the future, I plan for CovidScreen to be fitted with a Google Maps API that can read in the user's current location to show where they should go and avoid in the near future. Whether that be in the Hospital, Emergency Room, or at home, the results screen should provide the quickest route to the location that fits their diagnosis the best.
Built With
css
html
javascript
material-ui
react
Try it out
github.com | CovidScreen | COVID-19 Diagnosis made easy, quick, and guaranteed. | ['Danny Zhang'] | ['Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['css', 'html', 'javascript', 'material-ui', 'react'] | 35 |
10,260 | https://devpost.com/software/steril-laser | Title
Inspiration
PPE supply shortages are a worldwide problem, and solving this problem is key to finding this and future medical emergencies like pandemics. Also wastage of PPE like gloves, masks and overalls is a huge unmitigated problem. We wanted to take an innovative approach to solving the shortage crisis and create a user accessible product that can sterilize PPE through UV disinfection methods.
What it does
Our Product allows the reuse of PPE by sterilization using UVC. UVC is known to eliminate a majority of pathogens including the coronavirus family of viruses. Surgical instruments are sterilized with UVC. Our system hardware consists of a self built sterilization chamber which utilizes UVC lamps to sterilize PPE. This can also be used to sterilize other objects, and is programmable with various durations and intensities. The mobile application side of our product provides a simplistic way to use the chamber. Users can simply make commands and execute them to sterilize or simply enter a time and start the sterilization process.
How I built it
App: The frontend was made entirely from Flutter. We communicated between the front end and the backends through http post and get requests, which gave commands to the product so it could start sterilizing. I stored the user’s commands in Firebase because it was easier to configure firebase for simple information storing.
Hardware: Sterilization chamber built from cardboard box with 2 UVC lamps daisy linked together. Powered by a WIfi enabled smart switch. The switch is controlled by invoking a python function on the local network, running on an NGROK tunnel with flask. The various settings are stored in a MongoDB database and the status of this device is also stored as a document, these are updated/used when the controller functions are invoked. Remote invocation by app is possible by use of serverless functions running on google cloud.
UVC lamp specifications: 8W x2
Wavelength : 265 - 275 nm
Power input: 110V
Challenges I ran into
Integrating all the components together
Wiring the hardware without shorting anything
Programming the smart wifi plug
Coming up with a simple and clean UI
Connecting the frontend and Backend via http requests.
Accomplishments that I'm proud of
The hardware all works, as well as the app. We are proud to produce a working prototype, we merely need to upgrade the hardware and clean up the UI, as well as optimize everything.
What I learned
We learned that it is hard to program a Google Home and connect it to a mobile app via Flutter. We also learned that UI is not as easy as it looks: you have to come up with a simple and direct looking interface that communicated each Widgets purpose perfectly to provide a gerat user experience.
What's next for Steril-Laser
A more robust version
Lockable chamber
Personal units deployed in public spaces, like lockers at school
Compress Hardware
Built With
firebase
flutter
postman
uvc
Try it out
github.com | Steril-Laser | Solving the PPE crisis with UVC, one mask at a time | ['James Han', 'Muntaser Syed'] | [] | ['firebase', 'flutter', 'postman', 'uvc'] | 36 |
10,260 | https://devpost.com/software/exercise-together | Live Video Streaming
Video Room
Youtube enabled
Live Data Syncing
Search Bar
Authentication
DynamoDB
Home
Inspiration
We know that physical activity and social interaction have immense benefits*. During lockdown, many people aren't able to go to the gym or see any of their friends in person. I wanted to create an app to help people get their endorphins up and see their gym buddies across the world.
*
https://www.cdc.gov/physicalactivity/basics/pa-health/index.htm
,
https://www.mercycare.org/bhs/services-programs/eap/resources/health-benefits-of-social-interaction/
What it does
Exercise Together is a web app that allows 3 people to share video while watching the same Youtube exercise class and log their exercise activity.
It works like this:
A user visits the website and either creates and account or logs in. Amazon Cognito is used for authentication.
Once authenticated, the user is directed to a dashboard depicting the amount of time spent exercising with Exercise Together.
The user clicks join room and enters a room name. Up to 3 of their friends enter the same name to join the same room.
The users enter a video chat room and can search for a Youtube exercise video together by utilizing the search bar. Once everything is ready, they click start exercise to begin!
When the video ends, the user returns to the dashboard and their time spent exercising is logged.
Exercise Together is helpful when you want to exercise with your friends and simulates an exercise class you could do at the gym like yoga or pilates. This way people can work out with their friends that are all over the world!
How I built it
I used react and redux to build the front end of the project. For the backend, I used Serverless functionality like Cognito, AWS Lambda, S3, DynamoDB, and App Sync. Cognito verifies the user so that I can log exercise data for every user separately. All data is stored in DynamoDB. When people enter a room, Agora.io livestreams everyone's video to each other, so they can see each other's faces while React is used to display everyone's video. Every change you make to the search bar or clicking a Youtube video is logged to DynamoDB and is logged to all the other clients in the same room through AppSync. As a result, everyone in the room can see the same view at the same time. When you finish the workout, the data is sent to DynamoDB with the email you logged in as the key for the data. On the dashboard, a get request is made back to DynamoDB, so that you can see your exercise data for the whole week.
Challenges I ran into
I used a wide variety of services in order to develop the application that I wasn't experienced with previously like Agora.io, AWS Amplify, and AWS AppSync. Learning them was difficult and I went through a lot of troubleshooting with those services in the code. Moreover, syncing all these services together into one application was a large challenge, and I kept trying different pieces of code one at a time to try to get them to work together.
Accomplishments that I'm proud of
I was able finally learn how to use web sockets (AWS AppSync uses web sockets), which I'm really excited to use for my future projects! Web sockets are especially crucial for online games, which I want to make.
What I learned
I learned how to use a multitude of services and link them together. For example, I learned web sockets, Agora.io, AWS Amplify, and AWS Appsync. All these services would be immensely useful for my fire projects, so I believed that I really benefited from creating this project.
What's next for Exercise Together
Some extensions I'd like to make include:
Adding Fitbit and Apple Health functionality so that users who use them can all see data logged onto the website.
Making a sidebar like to that people could use to see who is currently online out of their friends list and join a room with them. In order to implement that, I would have to use AWS Neptune, which uses the same technology that Facebook uses for Facebook Friends.
Creating a phone app using React Native. I feel that more people would like to use a phone app rather than the website.
There are still
many bugs
, especially with the video streaming since I'm using a third party API and a free account for it. For example:
The video streaming only works chrome.
Entering the video room with more than one person is a buggy process. The way I get it to work is by duplicating the tab for each user entering and closing the previous tab.
The Cognito verification link redirects to localhost, but will confirm the account.
Built With
agora.io
amplify
appsync
cognito
cookie
dynamodb
graphql
javascript
lambda
materialize-css
node.js
react
redux
s3
serverless
ses
websocket
Try it out
exercisetogether.rampotham.com
github.com
www.youtube.com | Exercise Together | Exercise Together is a webapp that simulates your own group fitness class online with your friends | ['ram potham'] | ['The Wolfram Award'] | ['agora.io', 'amplify', 'appsync', 'cognito', 'cookie', 'dynamodb', 'graphql', 'javascript', 'lambda', 'materialize-css', 'node.js', 'react', 'redux', 's3', 'serverless', 'ses', 'websocket'] | 37 |
10,264 | https://devpost.com/software/bird-id | Welcome Screen
Selected a Bird
Choosing an existing image
Looking at the percentages
Learn more about the bird you saw
App Icon
Inspiration
Whenever I go outside to my backyard I see lots of birds. I know some of them, for example: The Red Cardinal. But sometimes I can't be sure what the bird is. In order to find out what kind it was I would have to research the internet for a long time, but that takes a long time. Introducing Bird ID, all you need is a photo, it will do the rest.
What it does
Bird ID uses machine learning to identify birds. You can use an existing photo or take one live. Then you can see what bird it most likely is and other birds it might be. You can also learn about the bird you identified.
How I built it
I built Bird ID with Xcode and Swift, the machine learning part was made with CreateML.
Challenges I ran into
One challenge I ran into was getting the percentages to work right. The percentages I was given from CreateML were really long. I ended up rounding the number.
Accomplishments that I'm proud of
I'm proud of implementing machine learning and making an app that could be useful to people in real life.
What I learned
This is my first time making an app that uses CreateML so I learned about implementing that. I also learned about formatting numbers and organizing dictionaries.
What's next for Bird ID
I made Bird ID with the limited amount of data I had. I found everything I could on the web. So far Bird ID can recognize 14 species. If I had more images I could put in a lot more birds.
Built With
createml
swift
xcode
Try it out
github.com | Bird ID | Whats That Bird? We'll Tell You | ['Samvid Konchada'] | ['JBL Speaker', 'Wolfram Subscriptions'] | ['createml', 'swift', 'xcode'] | 0 |
10,264 | https://devpost.com/software/drive_pi_safe | Slideshow
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Slideshow
Inspiration
the BLM situation going on right now and we've seen the impact that it's had on people, specifically speaking people who have an African-American background. Many statistics shown from the Washington Post, CNN, and other reliable websites have interviews that talk about Black people who have been pulled over to the side of the road and been treated unfairly by the cops. Our product will have the ability to solve this issue by being able to automatically begin recording when pulled over, to avoid any issue that may include being treated unfairly and not having proof of it. Since our product automatically records it can be used later as proof to show that the Black person who was pulled over was being treated unfairly. Overall, our group was very passionate about the BLM situation going on right now, and so that's why we decided to create this add-on to our project. The reason we decided to create a product that has the ability to sense drivers on their phone, is because first to ensure the safety of everyone driving at any time, and secondly one of our team members remembered seeing how many people died every year from phone distractions, so we decided we needed to create a viable solution that would be effective, and avoid such terrible incidents so much more often, and we decided to create add-ons so we can make the product more useful with different situations. Lastly, our second add-on that we had was being able to detect if a driver is drowsy, this theme fits in with the main idea of our product, which is to keep a driver and overall safety on the road, and this drowsy detection can allow a driver to pull over if the camera detects that they are sleepy, so that they can get support, etc. Also, our product is a long term solution, people being distracted on their phones will always be an issue, and with our product, it can solve this issue for a long time, it's not a product that comes and goes because this is going to an issue that remains for a long time because humans aren't perfect.
What it does
Our product has three main components, two of those components being add-ons as mentioned before. Our product can detect a driver who is on their phone and immediately alert them to get off their phone so it can ensure their safety. It also has an inferred camera that can see in the dark, so even drivers who are driving in the night can't avoid the camera and be alerted to get off their phone. Overall, our product for what it "does" is keeps drivers safe at any time and alerts them if they're doing something wrong.
How we built it
We first created a program using open cv, python, HTML,
We used multithreading, two threads run together, one detects for a person, and another one detects a phone. It runs with a boolean, if both are true, then the second thread plays a sound, which is the warning sound that is played when a person is detected using a phone while driving, and this runs in an infinite loop.
Challenges we ran into
We were having a connection error while in the garage, but in the future, you will not be needing connection on the road. The connection was only used to VNC into the program and to start it. meaning that in a real-life scenario no issues with connections would arise and the infinite loop would run smoothly.
We made models that worked, but we quickly realized there were some bugs and were not very accurate, so they eventually turned into drafts and our final product learned from all of our previous mistakes to make it as perfect as possible
A limited amount of time to complete all the tasks, but to counter this issue we used project management, time management, and good teamwork to complete this project in just one day
Our program at first was very choppy because it only ran a few frames per a second (FPS) because of the low computing power of the raspberry pi, we used threading to run two things at once and use the pi in a more efficient way, we also used an Intel Neural Compute Stick 2 which provided extra power in processing.
Accomplishments that we're proud of
Our very accurate code, that we made together and formatted well
Time management was well thought out
Our teamwork was well synchronized
Project planning allowed all of us to finish our work happily and very well
Our product came out to be very good and accurate
What we learned
We learned how serious the issue of texting and driving is, and how 1/6 of people die and get into a car crash and as teenagers, we learned from this terrible stat and we want to make sure we are safe on the road, and that we create a safe environment for everyone else with this product, and also for Black people dealing with discrimination. We improved our technical skills, like making more efficient programs that run at a higher speed, etc.
What's next for Drive_Pi_Safe
To help a car stay in its lane, by having a rear camera, we also want to add a camera that goes on the back of the car that's connected to the steering wheel camera, and this camera will have the ability to detect speeding cars behind. We also want to add a front camera to the steering wheel pi so it is looking out at the road, and this camera will have the ability to detect any potholes, dead animals, and anything else that's blocking the road ahead of the driver that he man is not able to see. All these abilities if added will enhance the safety and security of the car and the person driving the car. Also for the pi at the steering wheel, we want to add an ability with Machine Learning algorithm's so that our pi can hear glass breaking of a car, and immediately send a text to the owner of the pi that glass at their car has been shattered.
Youtube Demo Video:
link
Our Website:
link
GitHub for our Code:
link
Built With
camera
css
haarcascades
html
html5
intel
javascript
ml
movidius
opencv
pycharm
python
raspberry-pi
repl.it
vision
Try it out
drivepisafe.abhisar.repl.co | Drive_Pi_Safe | Our project is a product that is able to detect a driver that is on their phone and immediately alerts them, and our add-ons support the current events including BLM so we can minimize discrimination. | ['Abhisar Anand', 'Arsh Sharma', 'Milan Behera'] | ['Wolfram Subscriptions', 'Think Boards'] | ['camera', 'css', 'haarcascades', 'html', 'html5', 'intel', 'javascript', 'ml', 'movidius', 'opencv', 'pycharm', 'python', 'raspberry-pi', 'repl.it', 'vision'] | 1 |
10,264 | https://devpost.com/software/generateproject | generateproject
For the hackathon @ NewtonHACKS
Created by Sarah Thomas and Orna Mukhopadhyay, this is a basic project generator which links to either topic databases, research papers, textbooks, or youtube videos for someone who chooses to further delve into a topic. We were able to learn about Flask along the way (although it ended up not being used) as well as various fields and research opportunities in science and mathematics.
We built this purely in Python, but originally were intending to use the Flask package in order to deploy it on a web server in a dynamic website. Due to time issues, that part of the project was not able to be executed. Originally, we were going to include technology and engineering, but again due to time issues, we were not able to fully execute this part of the project.
This should encourage research and delving into scientific topics for people of all ages.
*Improvements: *
Could have integrated into a Flask Website (could not for a lack of time);
Could have utilized a database for the links; Could have utilized a larger selection of links;
Used a more thorough project selection framework.
Built With
python
Try it out
github.com | generateproject | This is a basic project generator which links to either topic databases, research papers, textbooks, or videos for someone who chooses to further delve into a topic. | ['Orna Mukhopadhyay', 'Sarah Thomas'] | ['Amazon Gift Cards'] | ['python'] | 2 |
10,264 | https://devpost.com/software/dizplant | Welcome screen
Sign up screen
How it works screen
Screen to choose whether you want to take a photo or upload a photo from camera roll
Agricultural experts page to find and contact your local experts
Map feature to find local plant shops and garden centers
Plant disease prediction - Healthy blueberry leaf
Plant disease prediction - Unhealthy potato leaf
Camera screen to take a picture
Inspiration
According to the Food and Agriculture Organization of the United Nations (FAO), 60 Billion USD worth of crops are lost every single year due to crop diseases. In today’s world, food shortage is a huge global issue, especially among a pandemic like this, where economic problems plague society. We believe that machine learning can be used for early diagnosis of plant diseases, so that farmers, as well as individual people, can take the necessary action. This can help eradicate many plant diseases, as well as improve the efficiency of the current system, where the plants are inspected by humans. This system is very inefficient and takes a long time. This app is targeted towards both commercial farmers, and home growers, who wish to grow their own plants.
What it does
DizPlant is a mobile app that uses advanced camera vision models to instantly diagnose plant diseases based on an input image of a leaf of the plant. The users can either upload or take an image of the plant in our app, and then get easy to read flashcards that display the predicted disease, and ways to solve it and get help. DizPlant also has an integrated google maps feature, where the user can find nearby plant shops and agricultural experts to tend to their plants, and find new and disease-free plants to buy. This feature seamlessly links with the google maps app. Our app is compatible with both android and iOS devices.
How we built it
React Native for front-end UI
Flask for back-end server endpoints
Keras + Tensorflow with MobileNet CNN model for disease prediction.
Kaggle dataset to train the models (> 94% accuracy on test dataset).
MongoDB Atlas for storing user data
Google Places API for maps integrations.
Figma for UI design
ngrok for testing
How the camera vision works - the image from the front-end is first encoded as a base64 string, and then sent to our Flask server via POST request json data. Our server decodes this string back to its original image form, and runs the ML algorithms, and then sends back the prediction as json data.
Challenges we ran into
Our biggest challenge was getting the machine learning model to get a high accuracy. We tried multiple models such as darknet, DNN, logistic regression etc. before getting good results. Other challenges included getting the image data to work over REST API seamlessly, as well as the MongoDB integrations.
Accomplishments that we're proud of
We are very proud of creating a machine learning model with over 94 % accuracy. This is really good, considering there are 38 classes for prediction. We are also proud of integrating machine learning with a react native app, and creating a clean user interface. Lastly, we are proud to have accomplished a seamless integration with our backend machine learning model by using base64 image strings to transfer image data and receive prediction data.
What we learned
We learnt how to use base64 strings to send images over REST API and react native. We also learned how to use MongoDB atlas, and integrate it with our react native application through our flask backend server. We also learned how to use Keras together with tensorflow to create a MobileNet Convolutional Neural Network to predict plant disease. Lastly, we learned how to use google places API, and integrate it with our front end in realtime.
What's next for DizPlant
Next, we hope to integrate Google authentication as a login and registration system. We hope to expand our model to accommodate for more diseases and plant varieties. We hope to make our user interface more flexible to fit different screen aspect ratios. Lastly, we hope to integrate our application with drones, in order to make detecting plant diseases scalable and efficient for a high volume of plants.
Built With
figma
flask
gcloud
google-places
keras
mongodb
ngrok
python
react-native
tensorflow
Try it out
github.com
www.figma.com
docs.google.com | DizPlant | Intelligently identifying plant diseases and providing adequate resources for people and farmers to grow healthy plants | ['Naomi Otiente', 'Veer Gadodia', 'Nand Vinchhi'] | ['Hint Water for a year + Swag!'] | ['figma', 'flask', 'gcloud', 'google-places', 'keras', 'mongodb', 'ngrok', 'python', 'react-native', 'tensorflow'] | 3 |
10,267 | https://devpost.com/software/paperpad | PaperPad is an application that makes digital drawing less expensive, more convenient, and increases worker productivity and time-efficiency.
Inspiration
Our team was inspired to create this project when we realized that there were many problems with all digital drawing solutions. Currently, if you want to draw digitally, whether that be professionally or for a hobby, you would have to buy a drawing tablet or an iPad. With PaperPad, we solved all of those problems with currently all other digital drawing solutions.
The first common problem we solved is that drawing tablets and iPads are very expensive, costing in the hundreds of dollars. This makes them inaccessible for many artists, students, and hobbyists. However, PaperPad solves this problem. With PaperPad, all you need is a cheap $20 webcam and a piece of paper.
The second common problem we solved is that drawing tablets and iPads don’t feel like real paper. Additionally, you’re forced to draw using a company’s proprietary drawing tools such as the Wacom Pen or the Apple Pencil, which barely feel like normal pencils. As a result, there’s a large learning curve to being good at drawing digitally versus being good at drawing on physical paper. This is such a massive problem that drawing tablet manufacturers and iPad accessory companies tout their products as having a “paper feel.” Many of them even offer “paper special editions” where the only difference is that the product feels more like paper than their other products. With PaperPad, you’ll have no such problem or learning curve. Nothing feels more like pencil and paper than a real pencil and real paper!
PaperPad is also really easy to monetize! Since PaperPad only uses a cheap webcam and a piece of paper, we don’t need to ship any special hardware to customers. All customers have to do is download our software and pay for a subscription. I hope to turn PaperPad into a business after this hackathon.
What it does
PaperPad allows you to draw digitally with just a cheap $20 webcam and a piece of paper. This makes it more accessible, more convenient, and more portable than existing digital drawing solutions such as Wacom drawing tablets and iPads.
PaperPad uses computer vision to detect, locate, isolate, and locate your hand. It then uses a few complex algorithms to locate the tip of the pencil you are holding. PaperPad then uses that information to control mouse movement, clicking, and dragging, allowing you to draw digitally. As a result, PaperPad is compatible with all apps — something that’s not true for many other current digital drawing solutions.
How we built it
First, we used opencv for computer vision, so that we could detect, locate and isolate the user’s hands. Then we use a few complex computer vision algorithms to locate the tip of the pencil you are holding. Finally, we take that data and use it to control mouse movement, clicking, and dragging — allowing you to draw digitally.
Challenges we ran into
We had some issues locating the hand and the position of the pen/pencil tip. Often, it would be too sensitive, but eventually we managed to fix the issue. At first, we had major latency issues, but we fixed that by heavily optimizing our computer vision code.
Accomplishments that we're proud of
We are proud that we got the opencv computer vision hand and pen tip detection and mapping working very accurately, almost perfectly.
What we learned
Our team learned how to use opencv, combined with image processing techniques, in order to detect, isolate, and map hands and fingers, as well as their shapes and positions.
What's next for PaperPad
Our team would like to further improve the accuracy of the computer vision hand and pen tip detection. Finally, we are interested in polishing the project and
selling it as a subscription
online. PaperPad has
business potential
in a large market since it makes digital drawing significantly cheaper, and therefore more accessible and more convenient for people around the world. Additionally, PaperPad will
improve worker productivity and time-efficiency
for professional artists and graphic designers since PaperPad provides a better user experience — a drawing tool and a drawing surface that is a real pencil and real paper instead of just “feeling like pencil and paper” like many other digital drawing solutions from many companies.
Built With
computer-vision
ctypes
multithreading
numpy
opencv
python
Try it out
github.com | PaperPad | The Future of Digital Drawing - Less Expensive, More Convenient, Increasing Productivity and Time-Efficiency | ['Marcus Chan', 'George Shao'] | ['Grand Prize', 'Script Foundation: Young Team of the Year'] | ['computer-vision', 'ctypes', 'multithreading', 'numpy', 'opencv', 'python'] | 0 |
10,267 | https://devpost.com/software/synplifier | Synplifier creates easy to follow walkthroughs through its compiler-like behavior.
Many synthetic biology procedures can be simplified to a series of transfer and incubation processes.
Our JS development environment allows scientists to easily describe long and complicated protocols.
Synplifier
As a way to grow diagnostic reagents from anywhere around the world, synthetic biology should allow for a proliferation of DIY viral testing. Yet the potential of synthetic biology remains locked behind complex lab protocols and largely restricted to highly specialized research fields. While the key to its potential, small DNA pieces known as plasmids, can easily travel around the world, the knowledge required to use them fails to do the same.
Synplifier allows scientists to translate production protocols into robust and user friendly walkthroughs. Think of it as a compiler for synthetic biology protocols-- going first from an academic lab protocol to standardized commands, and from standardized commands to a step-by-step breakdown. This simplification process relies on the modular nature of synthetic biology protocols. Essential protocols in synthetic biology-- growing, transforming, and inducing bacteria--are not difficult operations. At the most granular level,
much can be reduced to the simple transfer of liquids or raising and lowering temperatures
.
To demonstrate just how accessible synthetic biology can be, we took a
COVID diagnostic protocol
and wrote it into our pseudo compiler, a javascript and p5js application. The result is a series of 86 simple commands (think “move 5ml of liquid from red cup to blue flask”) that can be followed without scientific literacy, fine motor control, or even knowledge of the English language. When developed in tandem with the test production kits, synplifier would be instrumental in the creation of test production capabilities
anywhere in the world
. In doing so, Synplifier and Synbio approaches to diagnostics aim to improve the lives of many--not through one time test distribution, but by investing in long term production.
How we built it
The core functionality was developed in Javascript. The visualization and a prototype development environment are hosted on a static HTML page, with heavy use of P5.js for agile visualization.
Challenges we ran into
One challenging part of the experience was integrating the logic into an effective visualization. Our initial goal was to create a scaffold for building AR walkthroughs in EchoAR, but we ultimately pulled away from its exciting possibilities to focus on the core product-- the simplification process itself.
What we learned
Throughout the process, we were able to dive into the construction of knowledge systems and human computer interaction. We also obtained a greater understanding of synthetic biology and LAMP-DETECTR procedures through writing functions to formalize their specifications. And we learned about styling pages, and using libraries such as Bootstrap.
What’s next for Synplifier
We see Synplifier as a very strong proof of concept for a healthtech breakthrough. As of now, Synplifier is effective in providing archetypal 2-dimensional visualizations of lab procedures, with a limited range of flexibility. We hope to increase its functionalities greatly moving forward and get user feedback from both the scientific community and other interested parties. We also hope to look further into distributed diagnostics and how Synplifier might work in conjunction with labs to reach vulnerable and at-risk communities.
Built With
css
html
javascript
Try it out
ujjainidas.github.io
github.com | synplifier | Synthetic biology-- the key to producing viral diagnostic tests--is easier than you think. With synplified protocols, people around the world can produce and administer tests on their own. | ['Eric Xia', 'Ujjaini Das'] | ['Grand Prize'] | ['css', 'html', 'javascript'] | 1 |
10,267 | https://devpost.com/software/goldilocks-9zekny | Inspiration
Difficulty of parenting due to quarantine: Parental Burnout
Parental burnout is a state of stress and anxiety caused by intense parental role which causes emotional detachment from children and doubting its ability as a parent. There has been rising concerns of this issue due to COVID-19.
“There are several symptoms of this condition. One is a feeling of EXHAUSTION. With their kids at home 24/7, parents are so OVERWHELMED that they are having a hard time taking care of even the most basic duties.”
(Source: McLean Hospital)
“And the mental health impact was higher in cases where parents were QUARANTINED WITH CHILDREN, the review found. One study found 28% of parents were experiencing ”TRAUMA-RELATED MENTAL HEALTH DISORDER."
(Source: Axios)
”With teachers relegated to computer screens, parents have to play teacher’s aide, hall monitor, counselor and cafeteria worker — all while trying to do their own jobs under extraordinary circumstances."
(Source: The New York Times)
So, our team decided to create an app to relieve the parental stress in order to improve parent-children relationship which will make quarantine life easier.
What it does
Goldilocks is an application that encourages children to learn responsibility and self-sustainability through gamified reward system, so parents can balance their professional life and their role as a parent amidst COVID-19.
To start, children signs up by submitting a wish list of 3 things which requires parents' approval afterward. Then, parents will choose one of the three and will assign 9 tasks for their children to complete which can be school work or house chores.
Kids will complete these tasks as a form of a quest and every time an assignment is finished, a sticker will be given. The chosen wish will be rewarded once 9 stickers are collected, in other words, when all the tasks given by the parents are accomplished.
How I built it
Used Flask to code Back-end
Used SQLAlchemy to organize Database
Used HTML, CSS and JS via webflow to create website ( front-end)
Challenges I ran into
connecting backend and frontend
setting flask
Accomplishments that I'm proud of
It was first time coding out a functional product for some of us!
What I learned
Acquiring new tools definitely became a big asset for our team members and it also became an opportunity to learn about parent burnout. It is an important issue that should be addressed more in our society since its consequences are crucial in family environment.
What's next for Goldilocks
Our team truly believes that Goldilocks is beneficial for family and friends and that it has a large potential since its use is not limited to the pandemic. Releasing the application by enhancing existing features and implementing new functions so it can be used in various fields would be most ideal.
Built With
css
flask
html
javascript
python
Try it out
github.com | Goldilocks | Quarantine Parenting Sidekick | ['Sanghoo Oh', 'Hannah Seo', 'Yona Kim', 'Junghoon Cho', 'Crystal Park'] | ['Track: Health Tech Prompt'] | ['css', 'flask', 'html', 'javascript', 'python'] | 2 |
10,267 | https://devpost.com/software/groove | Hero Page
Log In Screen
Video Call Page
Inspiration
Due to COVID19, people across the world are unable to exercise with their friends and/or trainer, whether it be a fitness coach or martial arts instructor. They are stuck watching and trying to follow videos inside the confines of their homes. This lacks any sort of feedback mechanism, something that is absolutely critical to growth. To solve this, we use
computer vision for 3D animation
to have an avatar that gives responsive feedback in a video call.
The idea originally came as one of our teammates’ fathers wanted to be able to exercise with his personal trainer, but was not able to due to COVID-19. We thought about replicating the trainers’ movement into a realistic 3D model that would make it easy for anyone to follow along.
However, after reflecting, we are really excited as we noticed the potential domain for this application is endless. Since we can use the information for an in-depth analysis of a person’s movements. Lastly,
this software can be used for anything that requires movement
: physical fitness, yoga, sports analysis, walking technique correction, dancing etc.
What it does
Cutting to the chase, our application does 4 things:
Uses PoseNet, our
custom computer vision algorithm
, and the Babylon.js library to transfer a user’s 2D pose to a 3D avatar in real-time.
The 3D Avatar can be viewed from multiple point-of-views without affecting the avatar’s pose.
Follow a virtual Mentor
to learn new 3D poses by taking online lessons. Our
pose comparison system ensures
that the user has indeed
learned the pose
.
Take a
live session online with a real instructor
.
Get real-time feedback on your poses automatically (coming soon).
How I built it
We have four components:
A video chat system and website. We modified and decked out
AppRTC
with Groove's brand, style, and components.
We created an app that uses
PoseNet on the browser
using tensorflow.js. We did painstaking
hyperparameter optimization
to maximize accuracy and performance.
We needed to
map 2D joints from PoseNet to joints in the 3D skeleton
. This was a challenging mathematical aspect. We needed to use quaternions and angles in 3D since the axes of rotation were a problem. Since tensorflow.js and babylon.js are both JS libraries, the data transfer between the two libraries was straightforward.
We compare the 3D avatar poses to give real-time feedback. This was an algorithm where we
compare the joint angles between a user’s and the instructor’s avatar
. If the difference is within a breathing area, then we say that the user has successfully learned the pose.
Challenges I ran into
Transferring 2D poses correctly into angles in 3D was a major challenge. We had to look at the local axes for each joint in the 3D skeleton and map the angle accordingly.
Working with Web RTC.
Combining the two incompatible libraries we used was very difficult; one of our team members had to rewrite one of them to not use React. The build process in order to combine them was also quite tedious.
Accomplishments that I'm proud of
We are most proud of our breakthrough in this field: while past implementations of this are limited to a 2D interpretation, we used past technology to create something that gave real-time 3D animation! Secondly, almost none of us had experience with the Babylon.js library or PoseNet, so we had to learn how to use those, as well as WebRTC which none of us had experience with. Thirdly, the library we used to help with 3D pose recognition used React, which was incompatible with the Python library for HTML templating that the library we used for WebRTC calling relied upon, so we had to completely rewrite the 3D pose recognition library to not use React. Being able to overcome these challenges to create something that has an application and is novel is something we are really proud of!
What I learned
Below, please find a brief description of what each team member learned from the experience.
Adam
- Throughout the process, I learned a plethora of technical skills. Primarily, I learned how to use the Windows Subsystem for Linux, Parcel, Google App Engine, Twilio (for STUN servers), yarn, and pip. I was also reminded of the importance of a proper automated build process, and of terminal commands.
David
- At this hackathon, I learned three invaluable things. First, I learned how to deploy an application to Google Cloud. It was really cool; I hope to use cloud computing at future hackathons! I also learned how to build and deploy a Go collider server, and I dabbled in WebRTC and lots of other trendy technologies. But most most important of all, I developed my integration and leadership skills. The process of turning our idea into a finished project, distributing the workload, and integrating everything was very challenging, but very rewarding, and I am happy that I persevered.
Siddhant
- While I knew about the PoseNet resource for 2D movement recognition, in our project we tried to implement this movement in a 3D space. As a part of the project, I learned how to transform angles from 2D into 3D space. While a daunting task, I am happy that we were able to accomplish it in the end!
Keshav
- I learned how to implement the Babylon js library in order for the 3D character and its skeleton to move as well. Additionally, I used CSS for the first time to help with the stylizing of the HTML pages.
Peter
- I learned HTML and CSS and implemented them. Traditionally, I used inline CSS but this time I used separate stylesheet. Second, I learned how to incorporate the designs and logos I made into the workflow.
What's next for Groove
The four categories we want to improve things are in the following:
Our feedback system can incorporate joint level highlights to pin-point exactly what it is that the user is doing incorrectly while following a pose.
An AI voice assistant that gives instructions to the user automatically, so he/she does not have to rely on feedback by the physical instructor.
Our interface can use a better layout where the focus is on the 3D avatars and not the live video stream of the instructor.
Optimization so our platform requires less computational performance to give the user an amazing experience.
Additional Notes
At
https://agoldstein03.github.io/Groove/
you can experience a Virtual Guru yoga tutoring session which forms the basis for our system to give users automated feedback. This feature is still in development and is hosted separately for the time being, but we are working on integrating those features into the main site.
Built With
apprtc
babylon
cloud
css
go
google-cloud
grunt.js
html
javascript
node.js
posenet
twilio
webrtc
Try it out
github.com
grooveai.tech
agoldstein03.github.io | Groove | A novel platform implementing 3D vision that allows high quality fitness training to be accessible to all during the COVID-19 pandemic, hosted on Google Cloud. | ['Keshav Ganapathy', 'Adam Goldstein', 'David Aylaian', 'Siddhant Shenoy', 'Peter Ganunis'] | ['Track: Health Tech Prompt - Second Place'] | ['apprtc', 'babylon', 'cloud', 'css', 'go', 'google-cloud', 'grunt.js', 'html', 'javascript', 'node.js', 'posenet', 'twilio', 'webrtc'] | 3 |
10,267 | https://devpost.com/software/mask-detector | Inspiration
Covid times have been tough. I wanted to ideally make a checking system for door way entries in which people would be allowed only when they have their masks on. For prototyping purposes I have a "Face Mask Detection" for identifying if the Mask is put on a face or not so as to contain virus spread in COVID times.
What it does
Currently it detects if a person is wearing a mask or not.
How I built it
I've used p5.js for making it on the web and use TensorFlow js (ml5.js) to classify.
I've used my own images for model training and using transfer learning I was able to classify the things.
Challenges I ran into
Apart from hardware and network issues, I was stuck at hosting the model for real time webcam interface on a site.
What's next for Mask detector
A door lock system, which opens only when the camera detects that user is wearing a mask.
Built With
bootstrap
javascript
react
tensorflow.js
Try it out
github.com | Mask detector | Def Hack project which detects that user is wearing a mask or not, which can be incorporated for surveillance and prevention measures for Covid 19. | ['Shrey Tyagi'] | ['Track: Health Tech Prompt - Third Place'] | ['bootstrap', 'javascript', 'react', 'tensorflow.js'] | 4 |
10,267 | https://devpost.com/software/matrix-of-heroes | Inspiration
In today's world based on information, we took a look at what we could do to improve the learning potential of young children. Realizing that a large reason kids struggle with academics is that learning is considered boring by many youths, we set out to build a project that could make learning fun!
What it does
This game provides an alternative, more engaging educational experience for growing minds.
How we built it
We used Unity as our game-building engine, utilizing the built-in sprite mechanics and buttons for the base of the game. We also designed our own pixel-art backgrounds and sprites.
Challenges we ran into
While we were experienced with the 3D aspects of Unity, Unity 2D was certainly something we weren't too familiar with.
One especially difficult aspect of building the game was designing the "final battle". We had to use a mix of sprites, images, and text to finish that, which was difficult considering how tracking UI text around 2D sprites can get pretty messy.
Accomplishments that we're proud of
We're proud of our supervision features which allow teachers and parents to oversee their student/child's learning journey as well as our stunning hand-drawn graphics.
What we learned
Using firebase to keep track of student data and progress as well as teacher information.
What's next for Matrix of Heroes
We hope to add more topics for kids to learn and master, such as geometry, number theory, probability and more!
Built With
c#
firebase
rest-client-api
unity
Try it out
github.com | Matrix of Heroes | Matrix of Heroes combines math and video games, with an integrated method for supervisors to track the player's progress. | ['Angela Wang', 'Lily Ni', 'Eston Li', 'Shengbuo Fang'] | ['Track: Best Beginner Hack'] | ['c#', 'firebase', 'rest-client-api', 'unity'] | 5 |
10,267 | https://devpost.com/software/omegu | landing page
dashboard
call/chat page
Inspiration
As a group of incoming first-year university students, we are excited to meet new people on campus this fall. But surely with the pandemic at full heat, online classes make this impossible. Our first year experience is to be ruined... unless… unless we’re able to innovate. This is why we decided to build OmegU, a social media platform that enables first-year students to meet their classmates and build lasting relationships regardless of global situation.
What it does
After creating an account with your registered university email (non-university emails are not accepted), you can select your academic program, faculty, and input your interests on the OmegU dashboard. We can then connect you with students from your home school that share similar qualities with you. Once connected, you can video chat and text the other person through the OmegU platform. If you feel uncomfortable with video chat, you can always turn off your video or mute yourself. Our web app tells you if you and the other person are in the same academic program along with any common interests you might share. OmegU also provides icebreakers to give daunting interactions smooth beginnings. Once you’ve finished chatting with your new friend, you can return to the dashboard and start again, allowing you to meet more amazing students in difficult times!
How we built it
The login and registration is built with passport.js on an express.js server connected to MongoDB. User authentication is made secure with bcrypt.js. Once the user is logged in, they can update their interests using the Fetch API and updated to MongoDB. The video chat is built using WebRTC and the text chat is built using Socket.io. The chat runs on a node.js server, along with express.js. Most of the frontend is built using EJS and Bootstrap.
Challenges we ran into
When building the application, we initially built the login and registration components on their own server. On a separate server, we built the video call and text chat components. This led into some complications down the line as we tried to integrate the two portions to run on a single server.
Additionally, we ran into troubles combining each individual's work into the central github repository. Within the first few hours on the first day, the repository had to be restarted several times in order to fix unintentional changes and issues which came up. However, we quickly adapted and there were no more issues for the rest of the project.
Accomplishments that we're proud of
Forming a remote team with incoming first-year students at our university
Identifying a problem as a result of the current situation and designing a real-life solution
Effectively performing requirement analysis, testing, documentation, and version controls
Completed development of software modules individually and integrated modules successfully
Delivered a functioning solution, learning new programming skills and languages along the way
All of these accomplishments and milestones made us very proud as a team, as we are progressing towards the production of an application which could genuinely help many students around the world.
What we learned
We learned a lot throughout this project. Going into the project, we were not sure about how we would build the application. As we progressed through the stages of the project, we learned about both back and front end development, secure information storage, and application deployment. We also gained valuable experience working with the MEN (MERN minus React) stack, and other technologies such as Passport.js, WebRTC, and Socket.io. We also improved our version control skills as the project went along, and gained first-hand experience of software development life cycles as we built the app.
What's next for OmegU
After the completion of this hacktahon, we plan to implement a confirmation feature where an email is sent to the email a user registers with, in order to confirm that it is their email. We are planning on working towards polishing the UI, before marketing the web application for student use.
Built With
bcrypt.js
bootstrap
css3
ejs
express.js
html5
javascript
mongodb
node.js
passport.js
socket.io
webrtc
Try it out
github.com | OmegU | Connecting first year university students, virtually | ['Nicholas Tao', 'Tristan Lam', 'Adam Lam', 'Matthew Jiao', 'Rishabh Sambare'] | ['Track: Best Beginner Hack - Second Place'] | ['bcrypt.js', 'bootstrap', 'css3', 'ejs', 'express.js', 'html5', 'javascript', 'mongodb', 'node.js', 'passport.js', 'socket.io', 'webrtc'] | 6 |
10,267 | https://devpost.com/software/covid-support-initial-draft | COVID-Support Website Home Page
Interactive Spark Bot Chat
Interactive Iris Bot Chat
COVID-19 Platformer Game Page
Website Link
Click
here
to check out our project!
Inspiration
With these unprecedented times, our team had the idea to lighten up everyone's day! Our website includes everything you might need during quarantine. We personally get bored staying at home, so we decided to create a website that is fun and informative for those doing the same. Features include a fun, interactive game with germs where you have to social distance to avoid human-like bots! Our Spark Bot provides interesting memes, activity ideas, and even helplines for a wide variety of resources. However, what makes us stand out as an isolation resource is our safety feature: the Iris Bot, which predicts if you need to be tested. During these times, even the slightest cough may indicate a dangerous infection. Therefore, we were inspired to create the Iris bot, which recommends potential tests to users based on their symptoms!
What it does
This website includes everything you need in just a few clicks: an entertaining game, human-like chat bots and informative resources regarding coronavirus! The website aesthetic was designed specifically to include calmer colours to create that atmosphere for those who may have mental health issues. Colours can be very triggering and we made sure to take that into consideration. The game is a great choice for anyone who wants to relieve stress while staying aware of social distancing procedures. One of our bots allows users who are feeling lonely to interact with a human-like companion, which provides them with home activity ideas, mental health support resources, and even some uplifting internet memes. We also have a bot that predicts if you need to get tested for covid-19 and we assure its accuracy as it follows Ontario's health guidelines. Overall, our website is a good way to just have fun playing games or even texting and also it is very informative!
How we built it
We used various platforms and languages to create our project. The static website was built entirely from scratch using HTML/CSS/JavaScript. The alignment of the objects were done using a framework called BootStrap. All the graphics were made using Canva or Google Drawings and then embedded into the website. The platform game was created with Unity, sampled and modified from Unity Learn's Platformer Microgame.
Challenges we ran into
Our team consists of four ambitious high school students who wanted to try something new. Most team members used different coding platforms and IDEs for the time, so we spent a fair amount of time figuring how things worked. We ran into several challenges, yet by working together, we were able to overcome them. Firstly, we had a few difficulties regarding the integration of our bots into our final website. We attempted to use APIs, other software, and various code examples, but to no avail. However, after almost 14 hours, we got it to work! The website developer was also not familiar with using things such as slideshows and therefore we were able to learn as we went. Finally, game development was new to all of the developers and we were successfully able to both create a game and embed it onto our website.
Accomplishments that we're proud of
We’re proud of embedding a game and two chatbots on our website, this in itself is something very unique and useful for the users. We also are proud of taking into consideration the whole user experience, from readability to current trends and aesthetic. One of our members was able to have her first hackathon experience at DefHacks 2020, and she is very proud to have completed it successfully and learned some new skills!
What we learned
All team members had lots of fun participating in this hackathon. We learned how to create and integrate bots that would respond to users in a similar way that a human would. Overall, we each learned new technical skills through experimenting and through the workshops, and had experienced the intense feeling of creating a website, bots, and game in less than 36 hours!
What's next for COVID-Support
The flexible website format allows for numerous expansion possibilities. One of our future ideas involves creating a simulation for case progression and resource availability, based on locations and case numbers that the user has provided. Another idea to maximize the impact of COVID-Support is a page involving a collection of remote volunteering opportunities that are available online. Alternatively, this could be added to Spark Bot's "Activity Suggestions" section. Using real world COVID-19 data, we plan to use different machine learning algorithms and Foursquare API to create interactive graphs so people can track active cases, total cases, recoveries and deaths specific to their location. Finally, in the future we may consider using the echoAR tool in order to add an augmented reality aspect to our website. Users may be able to scan a QR code or image with their phone, which will then open various infographic holograms that will further educate them on COVID-19 safety procedures.
Built With
bootstrap
c#
canva
css
google-drawings
html
javascript
unity
Try it out
himasheth.github.io
github.com | COVID-Support | COVID-Support is a website that features interactive robots and a fun game to help with mental health and wellness during these difficult times. | ['Jasmine Xiong', 'Hima Sheth', 'Veronika Sustrova', 'smriti sharma'] | ['Track: Best Beginner Hack - Third Place'] | ['bootstrap', 'c#', 'canva', 'css', 'google-drawings', 'html', 'javascript', 'unity'] | 7 |
10,267 | https://devpost.com/software/moodmatch-1w84qm | An example interaction on MoodMatch
Inspiration
Many times, it is very difficult to pick a song that is perfect for your current mood. No fear, however, MoodMatch is here! During this COVID-19 lockdown, it often gets hard for people to truly understand how they feel, let alone understand how to feel even better. This issue inspired me to create MoodMatch. I feel like this project truly encapsulates a topic that has not been addressed by many people/companies. It is a very small thing to not understand how you feel or what to listen to in order to feel better, but MoodMatch addresses just that (and hopefully more very soon).
What it does
MoodMatch is a messenger bot that recommends users' songs based on their current mood, and according to images/concepts associated with those moods.
How I built it
Before this project, I was very new to the ideas of creating a project. This project introduced me to end-to-end programming. I started by first mapping out what I had to do:
1) Obtain a list of songs, artists, and lyrics of the songs
2) Perform sentimental analysis on the songs to understand what kinds of feelings are exhibited by the song
3) Create a messenger bot
4) Program the messenger bot to ask the user questions
5) Process the results (sentimental analysis on the chosen choices)
6) Recommend songs with similar sentiment levels or perhaps higher sentiment levels to cheer one up
I followed this process thoroughly and used the Microsoft Azure Cognitive Science API to perform sentimental analysis. I also used various APIs including Spotify, Genius Lyrics, and various others.
Challenges I ran into
As I was very new to the end-to-end programming process, I ran into many challenges including not being able to understand what was wrong. I often asked friends or even posted on StackOverflow to get some of my questions answered.
Accomplishments that I'm proud of
Creating a bot was not something I could've imagined me doing a few months ago, but now after this Dev Hacks event, I have really accomplished a lot.
What I learned
I fully learned the end to end programming pipeline of sorts and am really confident in creating more projects in the near future.
What's next for MoodMatch
A lot is in store for MoodMatch, ranging from automating the song updates as well as adding more factors that may influence someone's choice of song.
Built With
facebook-messenger
node.js
python
scrapy
spotify | MoodMatch | The perfect song at the perfect time | ['Viren Khandal'] | ['Track: Best Advanced Hack'] | ['facebook-messenger', 'node.js', 'python', 'scrapy', 'spotify'] | 8 |
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