# 🫁 Lung Cancer Detection using Machine Learning & Deep Learning
Early detection of lung cancer significantly improves treatment success and patient survival rates.
This project leverages **Machine Learning** and **Deep Learning (CNNs)** to analyze clinical data and CT-scan images for automated lung cancer prediction.
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## 🚀 Project Overview
This system provides two different approaches for diagnosis:
1️⃣ **Machine Learning model** using patient clinical parameters
2️⃣ **CNN model** using CT-Scan images for direct cancer identification
Both models serve as a decision-support system to assist healthcare professionals with faster and more accurate screening.
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## 🌟 Key Features
✅ Multi-class lung cancer risk prediction (ML Model)
✅ CT-Scan Tumor classification (CNN Model)
✅ Streamlit Web Interface for real-time diagnosis
✅ Simple & user-friendly UI
✅ Accepts local image uploads for inference
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## 🧠 Tech Stack
- **Python**
- **Streamlit**
- **TensorFlow / Keras**
- **NumPy, Pandas, Matplotlib**
- **Scikit-Learn**
- **OpenCV**
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## 📌 Live Deployment
Try the live application here 👇
🔗 **Streamlit Deployment:** [https://lungcancer-77.streamlit.app/](Link for deployed version)
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## ⚙️ How to Run Locally
Clone the repository:
```bash
git clone https://github.com/Disha4346/Lung_Cancer.git
cd LungCancerDetectionInstall requirements:
pip install -r requirements.txtRun Streamlit App:
streamlit run app.py🔹 Recommended: Use a separate Conda environment to avoid conflicts
conda create -n tf python=3.12
conda activate tf
pip install -r requirements.txt
Watch the full working demo: 🔗 https://github.com/user-attachments/assets/944fa44c-27b1-4bce-9580-29c3e6c8e41e
📌 Machine Learning model dataset — Clinical patient data 📌 CNN model dataset — CT-scan images
Dataset source: 🔗 https://www.kaggle.com/datasets/mohamedhanyyy/chest-ctscan-images
| Model | Accuracy | Technique |
|---|---|---|
| ML Model | ~95% | Logistic Regression / Random Forest |
| CNN Model | ~92% | Custom CNN with Data Augmentation |
Disha Gupta B.Tech | GLA University, Mathura AI & Medical Imaging Enthusiast 🚀
📬 Email: imdisha4346@gmail.com 🔗 GitHub: https://github.com/Disha4346
Contributions, improvements & feature requests are always welcome! Create an Issue or Pull Request 🤝