This application demonstrates a production-grade mental health AI application.
project-root/
├── data/ # Raw PDFs/TXTs clinical guides
├── src/
│ ├── processor.py # Logic for chunking and metadata
│ ├── database.py # Supabase/pgvector connection
│ └── main.py # The entry script to run the pipeline
├── .env # API Keys
└── requirements.txt # Python dependencies
The application avoids scraping blog posts, instead, it uses structured, evidence-based frameworks to demonstrate an understanding of the industry's high standards for accuracy, such as:
- CBT Manuals
- WHO Guidelines
- Crisis Protocols
Split documents into manageable chunks with metadata.