Mood Detection system - ML

About This Project

A Mood Detection system using Machine Learning to analyze facial expressions and identify emotional states in real-time or from images.

The Mood Detection project is an AI/ML-based application designed to detect human moods through facial expression analysis. The system captures images or video input using a camera and processes them using computer vision techniques.

Preprocessing steps include face detection, normalization, and feature extraction. A Convolutional Neural Network (CNN) or other ML model is trained on labeled datasets of facial expressions representing moods such as happy, sad, angry, surprised, or neutral. The model predicts the user’s mood, which can be used in applications like mental health monitoring, adaptive user interfaces, or interactive systems.

The project demonstrates practical implementation of deep learning, image processing, supervised learning, and real-time emotion recognition, making it a strong AI/ML major project.