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@fareedsayed95

Fareed Sayed

@fareedsayed95

Skill iconPython
Skill iconJavaScript
Skill iconDjango
Shell
Flask and Django

Sole Technical Developer, Ares Energetics

Mumbai, India

Devfolio stats

Devfolio stats

1

project

1

0

prizes

0

4

hackathons

4

0

Hackathons org.

0

GitHub

GitHub

1,140

contributions in the last year

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3 contributions on 2025-01-26
1 contributions on 2025-01-27
8 contributions on 2025-01-28
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Dec

1 contributions on 2025-12-01
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4 contributions on 2025-12-03
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34 contributions on 2025-12-08
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2 contributions on 2025-12-27
0 contributions on 2025-12-28
11 contributions on 2025-12-29
4 contributions on 2025-12-30
3 contributions on 2025-12-31

Work Experience

Work Experience

A

Ares Energetics

10 months


Sole Technical Developer

Jun 25' - Present

Sole Technical Developer Intern

Mar 25' - May 25'

A

L

A

Sole Technical Developer

10mos

Ares Energetics, Jun 25' - Present

L

Django Tutor

1mo

Livetech India, Aug 24' - Sep 24'

Top Projects

Top Projects

Project Image
Aarogya Sahayak

Your Smart Partner in Better Health

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.