Facial Expression Detection with Neural Networks explores the intricate task of recognizing and categorizing human emotions based on facial expressions. Leveraging advanced neural network architectures, this application accurately analyzes facial features to determine emotions such as happiness, sadness, anger, and surprise. The model’s training involves extensive datasets capturing a wide range of expressions, ensuring robust performance across diverse individuals and cultural contexts. This project finds applications in human-computer interaction, virtual communication, and emotion-aware technologies, enriching the capabilities of systems that respond to and interact with human emotions.
Software Requirements :-
- Operating System: Win 7 or more
- Programming Language: Python
Hardware Requirement :-
- Processor-i3
- Hard disk-5GB
- Memory-2GB RAM