DRW - Real Estate Investment Montreal

Main page
Another view of the main page
Montreal Map file with crime rates and prediction from ML
Analytics where it has two graphs: average house price for the specific region and number of crimes in the specific region

Inspiration

We were interested on doing the hackathon for DRW. When we read the challenge, we realized that we wanted to work on datas with unusual relations.

What it does

This project is a web interface that helps real estate investors to visualize the price market through time in relation to crime that has occurred around the city of Montreal for 2023-2024. This tool assists in forecasting market fluctuations and provides information to help choose the best places to live and invest.

How we built it

We used React.js for front end and Flask to connect the Python model that we developed with the front end react. For the databases, we used a total of three datasets where the crime datasets were found from the Montreal open data website and the others were outsources. link link

Challenges we ran into

We had issues in debugging so we used AI to help us solve our problems. Thanks to AI we were able to finish the project succesfully. -Staying awake the next day after staying up the whole night was a challenge as well

Accomplishments that we're proud of

We are proud of our User Interface
We got a high prediction accuracy of 92% for detecting the best choice for investment depending on the crimes and the prices within the region