Tenant Tango (TT)

Inspiration

This project was inspired by one of our group member's personal struggle of finding housing that fit their needs in Toronto.

What it does

Tenant Tango is an app that uses machine learning models to match tenants looking to lease with landlords looking to rent.

How we built it

Our app was built using a React front-end alongside a Python back-end, which handles the machine learning models. User account data, preferences, and postings are stored in a Firestore database.

Challenges we ran into

Spent an exceedingly large amount of time connecting all of the various technologies together (e.g. having the React front-end interact with the Python back-end to get the machine learning model results for a given landlord-tenant pair).

Accomplishments that we're proud of

Integrating a machine learning model to perform the landlord-tenant matching was an incredibly time-consuming yet rewarding accomplishment of this app.

What we learned

Have well designed data models in advance! There was a relatively large portion of time lost due to revisions or misunderstandings relating to how different objects' data was stored.