metadata
title: LuminaCXR
emoji: 🩺
colorFrom: purple
colorTo: blue
sdk: docker
pinned: false
🩺 LuminaCXR — AI-Powered Chest X-Ray Analysis
LuminaCXR is an advanced AI-driven healthcare solution designed to analyze Chest X-Ray images for early detection of respiratory diseases such as Pneumonia, Tuberculosis, and COVID-19.
It leverages Deep Learning (CNN) models for high-accuracy predictions and offers an intuitive web-based interface for medical professionals.
🚀 Features
✅ Real-time chest X-ray image analysis
✅ Disease detection using Convolutional Neural Networks (CNN)
✅ Intuitive and responsive user interface
✅ Secure image handling
✅ Deployable via Hugging Face using Docker SDK
🧠 Model Overview
The model is trained on publicly available Chest X-Ray datasets and optimized using TensorFlow/Keras for fast and accurate inference.
It classifies X-rays into multiple categories such as:
- Normal
- Pneumonia
- Tuberculosis
- COVID-19
💻 Tech Stack
- Frontend: HTML, CSS, JavaScript
- Backend: Python (Flask/FastAPI)
- ML Framework: TensorFlow / Keras
- Deployment: Hugging Face (Docker SDK)
🧩 How to Use
- Upload a Chest X-Ray image from your device.
- The AI model analyzes it and displays the predicted disease.
- View confidence scores and visual heatmaps (if enabled).
🛠️ Installation (Local Development)
# Clone the repository
git clone https://huggingface.co/spaces/your-username/LuminaCXR
# Navigate into the project folder
cd LuminaCXR-main
# Install dependencies
pip install -r requirements.txt
# Run locally
python app.py