🚧 Early Development Stage 🚧
A machine learning tool that will analyze audio files to detect emotional states in speech.
- Research phase
- Model architecture design
- Dataset collection
- Initial implementation
- Testing & validation
- Real-time emotion detection from voice input
- Support for multiple audio formats
- Emotion classification (happy, sad, angry, neutral, etc.)
- Confidence scoring
Stay tuned for updates as development progresses!