Inspiration
- We can see people seeking financial or help of any kind inside the campus in real-time.
- According to Wilder Research only Seven-County Metropolitan Area has 6763 homeless people.
- This was especially evident in a population not in a formal shelter, which was up by 93%.
What it does
- We introduce an incentive-based system to help the needy by helping users reach out to nearby homeless people.
- Helping locate and contributing gives the users points which they can redeem later on to compete and claim prizes.
How we built it
- The front end has been built in react-native using expo framework.
- Backend is on Loopback in NodeJS using MongoDB for database needs.
- We have built a TensorFlow image classifier in order to validate people who need help.
- The TensorFlow API has been deployed using Flask.
- We have used Heroku for deploying API endpoints.
Challenges we ran into
- Scraping training data for image classifier for difficult to get.
- Integrating MongoDB with loopback was also challenging.
What's next for Minnesota-Nice!
- Focusing more on security concerns.
- Providing better solutions for validation of contributions using machine learning.
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