Built a machine learning model to classify potato diseases using leaf images, enabling early detection and improved crop management.

Developed a web app that predicts diseases based on user-input symptoms using machine learning algorithms for early diagnosis support.

Implemented an emotion detection system using OpenCV for real-time face detection and a Convolutional Neural Network (CNN) to classify emotions from facial expressions.

Designed a machine learning model to distinguish between sonar signals bounced off rocks and mines, aiding in underwater object classification and detection.