Diabetes Prediction System Using ML

The Diabetes Prediction System is a machine learning-based application designed to predict the likelihood of diabetes in individuals based on various medical parameters.

The system analyzes patient health data such as glucose level, blood pressure, insulin level, BMI, age, and other medical attributes to provide an early prediction of diabetes risk. This helps healthcare professionals and patients take preventive measures and seek timely medical attention.

Objectives

• Predict the probability of diabetes using machine learning algorithms.
• Assist healthcare professionals in early diagnosis.
• Reduce manual analysis and improve prediction accuracy.
• Provide a user-friendly interface for entering patient details.
• Generate instant prediction results.

• Synopsis
• Project Report
• Presentation
• Viva Questions and Answers
• User Manual
• Code