Healthcare disease prediction

The Healthcare Disease Prediction System is a machine learning–based solution designed to support early diagnosis and improve clinical decision-making. The project uses patient data (such as symptoms, medical history, vital signs, and lab results) to train predictive models capable of identifying the likelihood of various diseases.

The system applies data preprocessing, feature selection, and supervised learning algorithms to generate accurate predictions. Models such as Logistic Regression, Random Forest, or Support Vector Machines were evaluated to determine the best performance. The final model provides fast, reliable risk assessments that help doctors and patients take preventive actions earlier.

This project showcases strong skills in machine learning, data analysis, model evaluation, and developing practical healthcare-focused AI solutions.