Diabetes Prediction Using Machine Learning

Overview

This project predicts whether a patient has diabetes based on health parameters such as glucose level, insulin, age, and BMI. Various machine learning models are trained and evaluated to select the best-performing model, which is then deployed using a Flask web application.

Dataset

The dataset used for this project is the PIMA Indians Diabetes Dataset, which is publicly available on Kaggle. It contains medical diagnostic measurements for predicting diabetes in female patients.

Kaggle Dataset Link

Technologies Used

• Python, Pandas, NumPy, Scikit-learn
• Flask for web app deployment
• HTML, CSS for frontend