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Forest Cover Type Prediction

Final project for McGill AI Society Accelerated Intro to ML Course (Winter 2021)

Training data retrived from Forest Cover Type Dataset

Project Description

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

Usage

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.

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