My Projects

The facial emotion recognition project involves developing a real-time system that detects and classifies human emotions from facial expressions using deep learning models, primarily convolutional neural networks (CNNs). It implements face detection and emotion classification with tools like TensorFlow, Keras, and OpenCV. The system provides live emotion recognition through video feeds, supporting applications in human-computer interaction and emotional analysis.

A regression-based machine learning model that predicts flight ticket prices using features like airline, source, destination, departure time, Arrival Time, Class, and number of days left. Aims to help users find cost-effective travel options.