🏡 RoomMate

Check out the full project Devpost here!

The previous process of finding roommates was unappealing, difficult, and at many times ineffective. A more modern model would help with the user experience of securing a compatible roommate.

About the project:

• The program is a fully functional full stack web app that allows users to log in or create a profile, and find other students for roommates
• The app includes a chat functionality which creates a chat room between two people who have matched each other that allows users to communicate in realtime
• Users are automatically recommended by an AI model based on users' preferences (ex. program of study, sleep schedule, etc.)

The process:

• Created the application frontend with React.js
• Set up up a database using MonogoDB to act as our backend to the project and to store our users profiles, data, and messages
• Implemented the AI model to curate roomate recommendations via a Python backend using the pandas library (reading through the database and computing a compatibility score between 2 people)
• Integrated the database, backend, and frontend together using the Flask and PyMongo libraries

This project was created within a 36-hour timeline as part of the UofTHacks X hackathon.

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💻 Tech Stack: