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# AI-Driven Remote Healthcare Solution Checklist | |
## Foundation | |
- [x] Set up Streamlit frontend | |
- [x] Configure Django backend | |
- [x] Integrate AI71 API (Falcon LLM) | |
## Core Features | |
- [x] Implement AI Chatbot UI | |
- [x] Develop Diagnosis Algorithm | |
- [x] Create Drug Identification UI | |
- [x] Implement Doctor's Handwriting Identification | |
- [x] Implement OCR for Handwriting | |
- [ ] Implement Drug Database | |
## Enhanced Patient Care | |
- [ ] Develop Telemedicine Interface | |
- [ ] Implement Resource Management System | |
## Public Health & Analytics | |
- [x] Develop Outbreak Alert Feature | |
- [ ] Implement Data Visualization Dashboard | |
## Deployment | |
- [x] Deploy the handwriting classification API on HuggingFace. | |
- [ ] Deploy the Streamlit app and ensure it is linked correctly with the backend. | |
- [ ] Hide the HuggingFace name in the deployed interface for security reasons. | |
## Testing and Validation | |
- [ ] Test the entire workflow from image upload to final text display. | |
- [ ] Validate the accuracy of the handwriting detection and OCR models. | |
- [ ] Ensure the Falcon LLM model provides accurate and contextually relevant text analysis. | |
## Documentation and Communication | |
- [ ] Document the workflow and API integration steps. | |
- [ ] Communicate with the team leader for the exact prompt required for the healthcare automation part. | |
- [ ] Keep the team updated on progress and any issues encountered. | |
## Deadline Management | |
- [ ] Ensure all tasks are completed by the deadline (August 6). | |