Human Activity Recognition with Neural Networks, specifically leveraging the VGG architecture, focuses on accurately identifying and classifying human activities from video streams. This project contributes to fields such as surveillance, healthcare monitoring, and sports performance analysis by providing a robust solution for automated activity recognition. The VGG architecture enhances the model’s ability to capture intricate features and nuances, ensuring high accuracy in distinguishing between various human activities.
Software Requirements :-
1. Operating System: Win 7 or more
2. Programming Language: Python
Hardware Requirement :-
1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM