|
|
--- |
|
|
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 |
|
|
|
|
|
1. Upload a **Chest X-Ray image** from your device. |
|
|
2. The AI model analyzes it and displays the **predicted disease**. |
|
|
3. View confidence scores and visual heatmaps (if enabled). |
|
|
|
|
|
--- |
|
|
|
|
|
## 🛠️ Installation (Local Development) |
|
|
|
|
|
```bash |
|
|
# 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 |
|
|
|
