Developed as a Final Year Project (FYP) in collaboration with Muhammad Faizan Hassan, MedConnect is an AI-driven platform revolutionizing the way patients interact with healthcare. Leveraging deep learning and natural language processing, the system offers personalized doctor recommendations, intelligent diagnosis, seamless scheduling, and secure payments—all through one unified interface.
Key Features:
- AI-Powered Diagnosis: Uses CNNs trained on medical datasets to detect kidney conditions like stones, tumors, and cysts.
- LLaMA Integration: Supports diagnosis explanation, treatment planning, and doctor selection using natural language processing.
- Appointment Scheduling: Patients can book consultations effortlessly through the platform.
- Secure Payments: Integrated with Stripe for reliable and smooth transaction handling.
- Review & Ratings: Transparent system for patients to rate and review doctors.
- Doctor Dashboard: Provides doctors access to patient history and reports before appointments.
- Patient Dashboard: Helps patients manage appointments, payments, and doctor feedback.
This project pushes the boundary of AI in healthcare, improving diagnostic accuracy and streamlining the care journey for both patients and doctors.
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