Disease Prediction Application Using Machine Le

The rapid growth of healthcare data has created opportunities for applying machine learning techniques to assist in medical diagnosis. Traditional diagnostic processes often depend on manual analysis, which can be time-consuming and prone to human error. Machine learning-based disease prediction systems aim to support healthcare professionals by providing preliminary diagnostic insights based on historical data and symptom patterns. In this work, a disease prediction application is developed using supervised learning techniques. The system allows users to enter symptoms through a web interface and predicts the most probable disease using trained machine learning mod