- Built an interactive user interface using React and Leaflet that allows the user to enter their monthly budget and amenity proximity preferences across Mumbai
- The backend was made using Flask which receives 6 relevant parameters to delineate the preferred housing regions
- The user can see the highlighted regions that fit their personal selections and can finalise the region they want to live based on their opinion
- Further information is provided in the report
- QGIS: The QGIS library is necessary for working with spatial data and performing geospatial operations. Make sure you have QGIS installed on your system.
- Python Dependencies including pip3, PyQt5, Flask, etc.
- Flask: Flask is a Python web framework used for building web applications. It is required to run the Flask server in this project.
- npm: For running the React frontend
Go to the backend folder and run /Applications/QGIS.app/Contents/MacOS/bin/python3 server.py
Go to the mumbai-housing-project folder and run npm i. After that, run npm start.