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Diabetes-ML-analysis-GProj-

Diabetes is a growing global health challenge, often undiagnosed until advanced stages.
This project applies machine learning techniques for early prediction of diabetes, focusing on:

  • Data preprocessing
  • Feature engineering
  • Model evaluation
  • Explainable AI (XAI)

The goal is to improve early detection and support better decision-making through data-driven insights.


📸 Preview

dashboard screenshot

🚀 Live Demo

Try the application here:
👉 https://diabetes-predictor-mer.lovable.app/dashboard


📌 Table of Contents

  • Overview
  • Dataset
  • Model
  • Features
  • Installation
  • How It Works
  • Project Structure

📁 Project Structure

Diabetes-Prediction/
│── main.py
│── training.py
│── loader.py
│── requirements.txt
│
├── datasets/
├── models/
├── functions/
├── app/
├── data/
├── images/

📬 Contact

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Diabetes is a growing global health challenge, often undiagnosed until advanced stages. This project uses ML models for early prediction, focusing on data preprocessing, feature engineering, model evaluation, and explainable AI to improve early detection and patient outcomes.

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