Predicting Diabetes: Leveraging Machine Learning for Early Detection

Description

This project focuses on creating a machine learning model to predict diabetes. By analyzing health data such as age, body mass index (BMI), blood pressure, and glucose levels, the model will identify patterns that indicate the risk of developing diabetes. The goal is to improve early detection, provide useful insights for healthcare providers, and promote preventive measures for individuals at risk. Ultimately, this project aims to enhance health outcomes through timely intervention.