Diabetes Prediction & Early Detection

Diabetes is a major global health challenge that affects millions of people worldwide. Early detection can significantly improve patient outcomes and reduce long-term complications.

In this project, we aim to build a predictive machine learning model that classifies individuals as either: - Diabetic - Non-Diabetic based on diagnostic measurements such as glucose levels, BMI, blood pressure, and other key features.

This project will guide us through the full Machine Learning workflow: 1. Exploring and understanding the dataset. 2. Cleaning and preparing the data for modeling. 3. Building and tuning different machine learning models. 4. Launching a prediction function to classify new patients.

Our journey will not only strengthen our technical skills but also demonstrate how AI can contribute to solving real-world healthcare problems.