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Sole Technical Developer
10mos
Ares Energetics, Jun 25' - Present
@fareedsayed95
Fareed Sayed
@fareedsayed95
Sole Technical Developer, Ares Energetics
Mumbai, India
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This is ai
TypeScript
1Stars
0Forks
Face recognition based attendance system to make the attndance syetm more powerful
JavaScript
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Python
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Hackathon release of ArogyaSahayak v1.0 - AI-powered health assistant
Python
0Stars
0Forks
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10 months
Jun 25' - Present
Mar 25' - May 25'
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10mos
Ares Energetics, Jun 25' - Present
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1mo
Livetech India, Aug 24' - Sep 24'
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 Upload a sample medical report → view instant analytics & risk factor summary. Interact with the AI chatbot for personalized guidance. Upload a subsequent report → observe progress tracking and differences. Scan product barcodes → receive AI recommendations for foods or medications. Explore the community feed for relevant posts and health tips. Doctor scans the user QR → accesses full report → adds prescriptions and notes. Medical team scans user QR or medicine barcode → dispenses medicine → user receives notifications. 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.