Tuhin Kumar Singha Roy

As an AI/ML Intern, I developed a smart Crop and Fertilizer Recommendation System to support precision agriculture and boost crop yield. My responsibilities and contributions included: - Built and trained machine learning models using the Random Forest algorithm, achieving 90%+ accuracy in both crop and fertilizer prediction tasks. - Designed two separate models for: • Crop Recommendation – based on soil type, temperature, humidity, rainfall, etc. • Fertilizer Recommendation – based on soil nutrient levels (NPK) and crop requirements. - Conducted thorough data preprocessing, feature engineering, and hyperparameter tuning to optimize model performance. - Utilized tools and libraries such as Python, Scikit-learn, Pandas, NumPy, and Matplotlib for model development and evaluation. - Exported models as .pkl files for seamless deployment and further integration. - Gained practical experience in solving real-world agri-tech challenges through data-driven solutions. This e