Agricultural Management System

• Tech Stack: Python, Flask, SQL, Data Science, Machine Learning, HTML, CSS, Bootstrap, Heroku

This website serves to inform farmers and forecast crop prices in real-time.

User can register/login to the web app, view detailed information, search crops and soil based on filters, create combinations and view success results.

Choosen as one of KL University’s top projects in the SDP-2 Hackathon.