Face Recognition

Real-time face detection, feature mapping, and emotion recognition

This web app leverages face recognition technology to detect and analyze human faces in images or live video. It can accurately identify facial structures by drawing bounding boxes around detected faces, placing markers on key facial features, and even recognizing emotions such as happiness, sadness, and surprise.

Built during my early web development journey, this project was a deep dive into AI-driven applications. It helped me understand how to integrate face recognition models, process real-time data, and create an interactive user experience. The app utilizes a pre-trained face detection model to analyze facial expressions, making it a great example of how AI and web development can work together.

The goal of this project was to explore the capabilities of facial recognition while maintaining a simple and accessible user interface. It was a valuable learning experience in working with APIs, handling real-time image processing, and optimizing performance for smooth interaction.