AI-Child-Behavior-Assessment
This project is a web-based AI tool designed to analyze children's facial expressions and language development for early mental health assessment.
Features
- AI-powered Facial Emotion Detection using DeepFace
- Speech-to-Text Analysis for child language development
- Flask API for backend processing
- Streamlit-based web interface
Setup Instructions
1. Install Required Libraries
pip install flask streamlit tensorflow torch torchvision opencv-python numpy pandas speechrecognition deepface transformers
2. Run the Backend (Flask API)
cd backend
python app.py
3. Run the Frontend (Streamlit App)
cd frontend
streamlit run app_ui.py
Deployment Guide
- Backend can be deployed on Hugging Face Spaces.
- Frontend can be hosted on Streamlit Cloud or Netlify.
License
MIT License