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Final year project, COMSATS University Islamabad — 2nd Position, Career Expo
Skin Mentor
Skin condition detection paired with e-commerce and live consultation.
ReactNode.jsFirebaseWebRTCStripe
- Role
- Full Stack Developer
- Status
- Academic project
08Health-Tech E-Commerce (Academic Project)
SM
Problem
Built as a final-year project to explore combining consumer-facing deep learning with a real commerce and consultation flow, rather than shipping a model in isolation.
Solution
A full-stack e-commerce and admin web/mobile application for skin disease detection, integrated with deep learning models, real-time notifications, video consultations, and payments.
What I built
- Built the e-commerce storefront and admin dashboard.
- Integrated deep learning models for skin condition detection.
- Implemented Firebase real-time notifications, WebRTC video consultations, and Stripe payments.
Key capabilities
Skin condition detectionE-commerce storefront & admin dashboardReal-time notificationsWebRTC video consultationStripe payments
Engineering challenges
- Wiring a deep learning inference step into a normal e-commerce checkout flow without breaking the user experience.
- Getting WebRTC video consultation working reliably alongside real-time notifications and payments in a single app.
Outcome
Placed 2nd at the university Career Expo for final year projects.