🧠 Overview
This project simulates real-world doctor–patient consultations using AI. The chatbot acts as a virtual patient, while a doctor (user) interacts with it to perform diagnosis, questioning, and decision-making. It is designed to support medical education, clinical training, and diagnostic reasoning practice.
🚀 Features
- Conversational AI that mimics realistic patient responses
- Multi-turn dialogue handling for clinical scenarios
- Role-based design: Doctor (user) ↔ Patient (AI)
- Support for multiple diseases and symptoms
- Configurable personality, tone, and medical history for simulated patients
- Secure data handling and chat logging
💡 Future Enhancements
- Integration of image-based diagnosis (e.g., X-ray interpretation)
- Multi-language support
👥 Contributors
- Harsha Kantamaneni – Software Engineer (Wells Fargo)
- Mohan Askani - Data Scientist (Uber)
- Shweta Malabade - Software Engineer (UBS)
- Naveen Korrapati - Data Engineer (Deloitte)