🏥 GlucoAI - Diabetes Risk Prediction System

GlucoAI is an AI-powered mobile application designed to help users assess their risk of diabetes based on personal health metrics.

🚀 System Architecture

The project is architected into two main components:

• Mobile App: Built with Flutter, providing a seamless and intuitive user experience.
• AI Service: Developed using FastAPI, deploying an XGBoost model to deliver real-time risk predictions.

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🛠 Tech Stack

Frontend (Mobile)

• Framework: Flutter
• State Management: Provider / BLoC
• Communication: RESTful API (HTTP)

Backend (AI Service)

• Language: Python 3.9+
• Framework: FastAPI
• Machine Learning: XGBoost, Scikit-learn, Pandas
• Deployment: Dockerized on Hugging Face Spaces

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🖼 UI & System Preview

📱 1. Home Dashboard

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📊 2. Prediction Results

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🧠 3. Assessment History

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🚀 4. Settings

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📂 Project Structure

GlucoAI/
├── mobile_app/          # Flutter application source code
├── ai_service/          # Backend & AI Model source code
│   ├── models/          # Serialized models (.pkl or .joblib)
│   ├── main.py          # FastAPI entry point
│   ├── requirements.txt # Python dependencies
│   └── Dockerfile       # Deployment configuration for Hugging Face
└── README.md            # Project documentation