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HealthSync - Intelligent Medical Diagnostics Platform

🚀 Live Demo: https://healthsync-mvru.onrender.com

HealthSync is a modern, AI-driven medical imaging analysis platform. Designed for both healthcare professionals and patients, it leverages advanced machine learning models (XGBoost) combined with computer vision (OpenCV) to identify anomalies such as Fractures and Tuberculosis in X-ray imagery.


🌟 Platform Highlights

  • High-Accuracy Screening: Instant X-ray evaluations using trained XGBoost classification models.
  • Interactive Dashboards: Dedicated experiences for Doctors (Analytics, patient overview) and Patients (Scan History).
  • Responsive & Modern UI: A secure, intuitive frontend tailored for cross-device compatibility.
  • Explainable AI: Provides clear reasoning behind the diagnostic features and metrics.
  • Privacy-First: Standardized setup for role-based access, complete action logging, and user data consent.

⚙️ System Requirements

Ensure you have the required machine learning model binary files in your root directory before launching the app:

  • Fracture_XGBoost
  • TB_XGBoost

Installation & Setup

  1. Obtain the Source Code:

    git clone <repository-url>
    cd HealthSync
  2. Establish the Environment (Recommended):

    python -m venv .venv
    
    # For Windows:
    .venv\Scripts\activate
    
    # For Mac/Linux:
    source .venv/bin/activate
  3. Install Core Dependencies:

    pip install -r requirements.txt
  4. Launch Application:

    python run.py

    Once started, the application can be accessed via http://localhost:5000 or https://localhost:5000 (if self-signed certificates generate correctly).


For inquiries or features requests, please submit an issue or open a pull request on GitHub.

About

HealthSync converts chest and bone X-rays into instant, explainable diagnostic insights. It combines OpenCV preprocessing with XGBoost models to detect fractures and tuberculosis, offers role-based dashboards for doctors and patients, and delivers responsive, privacy-focused UI with audit logging and scan history for streamlined clinical workflows.

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