ArogyaSahayak v1.0 – AI-Powered Health Assistant

Overview:
ArogyaSahayak is a comprehensive AI-powered mobile app designed to transform medical reports into actionable health insights. It bridges the gap between patients, doctors, and medical teams, providing a seamless, end-to-end workflow. Users receive personalized analytics, AI-guided recommendations, exercise suggestions, product guidance, and real-time notifications, while doctors and medical teams can efficiently manage and dispense treatments using QR and barcode technology.

User Interface (Patients)

• Report Upload & Analytics: Users can upload lab or medical reports (PDF/image) and receive instant analytics, highlighting key risk factors and providing a clear summary.
• AI Chatbot: A personalized chatbot answers user queries based on their report, explains results, and guides next steps.
• Progress Reports: Users can track their health over time; differences between reports are visualized for easier understanding.
• Yoga & Exercise Recommendations: AI suggests suitable yoga poses and exercise routines tailored to the user’s condition.
• Video Resources: Curated educational videos (like YouTube) appear alongside reports for instant reference.
• Community Feed: Users see relevant posts from a community-like feed with health tips and success stories.
• Food & Product Guidance: Users can scan barcodes to verify if a product or food item is suitable based on their health reports.
• Maps Integration: One-tap navigation to recommended hospitals or clinics.
• Notifications & Reminders: Timely alerts for medications and proactive recommendations based on AI or doctor prescriptions.

Doctor Interface

• QR Scan for Access: Each user has a unique QR code; doctors scan it to instantly retrieve all reports and summaries.
• Highlighted Risk Factors: Critical metrics and flagged health concerns are displayed upfront for quick triage.
• Prescription Management: Doctors can add medicines and instructions, which automatically sync to the user profile and trigger notifications.
• Notes & Summary: Doctors can leave comments and a structured summary for the user’s reference.

Medical Team / Pharmacist Interface

• QR/Barcode Scanning: Scan user QR codes or medicine barcodes to fetch user prescriptions and medicine details.
• Efficient Dispensing: Medicines can be marked as dispensed, updating the database and ensuring timely tracking.
• Synchronization: Updates from dispensing flow reflect immediately in the user’s profile, keeping all stakeholders informed.

Tech Stack

• Mobile App: Flutter
• Backend: Django, Flask, FastAPI
• AI/NLP & Chat: LangChain, LangGraph
• Other Integrations: Barcode/QR scanning, Google Maps, push notifications, video embedding

Demo Flow for Judges

1. Upload a sample medical report → view instant analytics & risk factor summary.
2. Interact with the AI chatbot for personalized guidance.
3. Upload a subsequent report → observe progress tracking and differences.
4. Scan product barcodes → receive AI recommendations for foods or medications.
5. Explore the community feed for relevant posts and health tips.
6. Doctor scans the user QR → accesses full report → adds prescriptions and notes.
7. Medical team scans user QR or medicine barcode → dispenses medicine → user receives notifications.
8. Observe real-time notifications for medications and AI suggestions.

Notes

• Prototype Status: Hackathon version; features demonstrate end-to-end interaction between patients, doctors, and medical teams.
• Android Requirement: Minimum 6.0 (Marshmallow)
• Privacy & Security: Reports are linked only to user accounts. Doctor access requires QR scan. Data is for demo purposes; production-grade security not implemented.
• User Experience: Designed for smooth flow with minimal clicks and clear visuals to facilitate rapid evaluation by judges.

Summary:
ArogyaSahayak v1.0 showcases a complete health management ecosystem with AI-powered analytics, recommendations, QR/barcode integrations, and notifications — demonstrating an innovative, real-world-ready prototype for hackathons.