Audio, Gender, and Video Emotion Recognition with Neural Networks is an advanced system that analyzes audio and video content to identify gender and emotional cues. By training on diverse datasets, the model can discern voice characteristics, facial expressions, and body language to determine gender and emotional states accurately. This technology has applications in market research, entertainment, and mental health diagnostics.
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