Symptom-Driven Disease Prediction System with Probability, Confidence Levels, and Department Allocation

The Symptom-Driven Disease Prediction System is an AI-based healthcare tool designed to predict diseases based on user-input symptoms. It uses a two-stage deep learning model to first identify a general disease category and then predict the most likely specific diseases. The system provides probability scores and confidence levels (high, medium, low) for each prediction, making the results more interpretable. Additionally, it recommends the appropriate medical department for consultation and includes an explainability feature to show how each symptom contributes to the prediction, helping improve trust and decision-making in healthcare.