Project 2

Project Overview

Developed a machine learning-based system to recommend the most suitable crop based on soil properties, climate conditions, and nutrient levels. Implemented Random Forest and K-Nearest Neighbors (KNN) algorithms using Python to analyze agricultural datasets and deliver accurate crop suggestions.

The project highlights skills in data preprocessing, feature selection, model training, and evaluation, with a focus on solving real-world agricultural challenges using AI.