Disease Prediction System

This is a machine learning-based system designed to predict potential diseases by analyzing user-reported symptoms.

Features

• Predicts diseases based on symptoms provided by the user.
• Utilizes machine learning models for accurate disease classification.
• Employs a combination of SVC (Support Vector Classifier), Gaussian Naive Bayes, and Random Forest models for enhanced prediction accuracy.

License

This project is open-source under the MIT License.