MauryaRitesh/Facial-Expression-Detection
📦 Open Source ProjectMauryaRitesh
A deep learning-based facial expression recognition system to identify human emotions in real-time.
This repository provides a comprehensive implementation of a facial expression recognition system. Built primarily using Python, OpenCV, and deep learning frameworks, the project processes video input to detect faces and classify the underlying emotion. The architecture leverages convolutional neural networks (CNNs) to extract spatial features from facial images, which are then mapped to specific emotional categories. The codebase is structured as a series of Jupyter Notebooks, making it highly accessible for students and researchers to experiment with image preprocessing, model training, and real-time inference. It serves as a practical starting point for those looking to integrate affective computing into their own projects, offering clear insights into how computer vision pipelines handle complex human behavioral data.
💡Highlights
- ├─Real-time emotion classification
- ├─OpenCV-based face detection
- └─Deep learning architecture
🎯For
- ├─Computer Vision Engineers
- ├─AI Students
- └─Software Developers