Quickmed

Highlights

1. 01

   Built a 3-panel healthcare platform (Patient/Doctor/Admin) with RAG-based and ML-powered symptom-to-doctor matching, using LLM reasoning, semantic retrieval, and vector-based knowledge matching for intelligent nearby specialist recommendations.

2. 02

   Implemented digital prescription generation, LLM/ML-powered medical report analysis, appointment scheduling with 73% faster response (1.5s → 0.3s via Redis), and automated Telegram reminders reducing no-shows by 30%.

Stack

• ReactJS frontend for responsive UI
• NodeJS/ExpressJS backend
• MongoDB for data storage
• Cloudinary for media management
• Redis for performance caching
• GEMINI API integration
• Python
• ML
• RAG