Final project for McGill AI Society Accelerated Intro to ML Course (Winter 2021)
Training data retrived from Forest Cover Type Dataset
This forest cover type predictor is a web app that predicts what types of trees grow in a region based on the surrounding characteristics. The prediction model is built with sklearn and the web app is built with flask. I reuse part of the codes from MAIS webapp workshop
To run the web app, install all packages in requirement.txt. Download the backend directory and run app.py. Open a browser and navigate to your http://localhost:5000.