LungHeal is a web application that empowers doctors and patients to upload histopathology lung images and receive accurate AI-driven diagnoses using state-of-the-art deep learning models. 🧬✨

📚 We use the publicly available Lung and Colon Cancer Histopathological Images Dataset from Kaggle. This curated dataset enables precise model training across three diagnostic classes:

• Benign
• Malignant Squamous Cell Carcinoma
• Malignant Adenocarcinoma

🤖 LungHeal introduces three AI models for image classification:

• MobileNetV2
• DenseNet121
• InceptionV3

All models are in .keras format for better metadata handling and are available for users to select the most accurate result. This is a major improvement over legacy systems that only used .h format with ResNet.

• 🚀 Added support for multi-model selection with individual prediction outputs.
• 🖼️ Support for histopathology-based diagnosis instead of standard X-rays.
• 👨‍⚕️ Dual login system for patients and doctors.
• 🌐 Intuitive UI built with React and backend powered by Django.

1. User logs in (doctor or patient).
2. Upload histopathology lung image.
3. Select preferred AI model (MobileNetV2, DenseNet121, or InceptionV3).
4. AI returns prediction: Benign, Malignant Squamous, or Malignant Adenocarcinoma.

• Python
• Django (Backend)
• React (Frontend)
• Keras (Model framework)
• HTML/CSS
• TensorFlow

# Clone the repository
git clone https://github.com/jerryblessed/lungheal.git
cd lungheal

# Install backend dependencies
pip install -r requirements.txt

# Run Django server
python manage.py runserver

# In another terminal, run frontend
cd frontend
npm install
npm start

Visit http://localhost:3000 to interact with the web app.

Traditional treatment included:

• 💉 Chemotherapy – Uses strong drugs, often with severe side effects.
• 🔪 Surgery – Removes tumors but isn’t always viable.
• ☢️ Radiation – Risky and may affect healthy tissue.

LungHeal provides a non-invasive, accurate, and fast diagnosis option powered by AI.

"It is health that is the real wealth and not pieces of gold and silver."

Made with ❤️ by Team LungHeal – Your AI partner for faster, safer lung cancer detection.