MedAI

AI-Based Disease Diagnosis System

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Project Overview

  • Developed an AI-powered healthcare assistant using machine learning to predict potential diseases from user-provided symptoms and suggest basic, non-diagnostic remedies.
  • Implemented a Python-based prediction model trained on medical symptom–disease datasets for accurate classification.
  • Built a real-time web interface to collect user inputs and display predictions instantly.
  • Incorporated a knowledge base to provide lifestyle tips, precautionary measures, and general healthcare advice for common conditions.
  • Delivered the system via Flask backend with an intuitive HTML, CSS, and JavaScript frontend, making it accessible as both an educational and assistive tool.
  • Tech Stack: Python, HTML, JavaScript

Project Visuals

MedAI Chatbot Interface

A screenshot of the chatbot interface for disease diagnosis.

Diagnosis Output

An example of a disease prediction and suggested remedies.