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ideas.txt
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Study Rug - Future Enhancement Ideas
1. Vector Database Access from Other Projects
- Create standalone query script (query_existing_vectors.py)
- Natural language querying of existing vectors
- GPT-enhanced response generation
- Reusable vector embeddings across projects
2. Google Drive Integration
- Automatic PDF backup to Google Drive
- Folder organization by upload date
- Shared document access
- Version control for documents
3. Query Logging and Analytics
- Save user queries with timestamps
- Track most common questions
- Analyze query patterns
- Generate usage reports
4. Advanced Features
- User authentication
- Role-based access control
- Rate limiting for uploads
- Separate Pinecone indexes per user
- Advanced context filtering
- Multi-document type support
- User feedback mechanisms
5. Security Enhancements
- API key rotation
- Secure credential storage
- Access logging
- Rate limiting
- Input validation
6. Performance Optimizations
- Batch processing for large uploads
- Caching frequently accessed vectors
- Optimized embedding generation
- Response time improvements
7. UI/UX Improvements
- Dark/light mode toggle
- Customizable chat interface
- Document preview
- Progress indicators
- Mobile responsiveness
8. Document Management
- Document categories/tags
- Search within categories
- Bulk operations
- Export functionality
9. README Enhancements
- Add development category details:
* Motor skills (fine and gross)
* Speech and language
* Social and emotional
* Cognitive development
* Self-help skills
- Include interface screenshots:
* Profile creation
* Milestone tracking
* Question answering
* Progress visualization
- Expand API setup instructions:
* Step-by-step Pinecone setup
* OpenAI API best practices
* Rate limit considerations
* Cost estimation guide
- Document data sources:
* CDC developmental milestones
* WHO growth standards
* AAP recommendations
* Expert pediatric resources
- Add deployment guides:
* Docker containerization
* Cloud hosting options
* Local deployment
* Database migration