Project Background:

The Motivation Behind the Project:

The prevalence of diabetes is increasing at an alarming rate worldwide, posing a significant health challenge. Many individuals are unaware of their condition until severe complications arise. Our motivation is to harness the power of technology to aid in the early detection of diabetes, enabling timely intervention and better management of the disease. By making advanced diagnostic tools more accessible, we aim to reduce the global burden of diabetes and improve health outcomes.

The Problem Statement:

Diabetes often goes undiagnosed due to a lack of regular screening and awareness. Traditional diagnostic methods can be time-consuming and inaccessible to many, especially in remote or underserved areas. Our solution addresses this problem by providing a quick, accurate, and user-friendly tool for diabetes detection using machine learning. This approach allows for efficient screening, helping individuals identify their risk early and take preventive measures.