ML-Precision-Agriculture-Web-App

This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification This software is built with python, flask, flask bootstrap 4, HTML and CSS. To install: I used pycharm IDE for the development of this project. set up your pycharm IDE, preferably the community edition (its free). Open the pipfile, which contains the list of libraries and versions to be installed. Run the app.py file. Run in your browser. 127.0.0.1:5000 For admin login: Username: admin Password: admin1234