Diabetes Prediction using Machine Learning

Diabetes is a chronic disease with the potential to cause a worldwide healthcare crisis. According to International Diabetes Federation 382 million people are living with diabetes across the whole world. By 2035 this will be doubled to 592 million. To facilitate early detection we are developing a website that employs a machine learning approach. This project responds by developing a machine learning-based website for early detection. Employing a Support Vector Machine Algorithm it integrates new data with existing datasets forming a robust predictive framework. Following diabetes prediction the website offers users personalized diet plans addressing individual health needs.