This repository contains a lung cancer prediction system that achieves an impressive accuracy of 99.67% using machine learning techniques. The system uses a deep learning model to predict the likelihood of lung cancer based on various input features such as age, gender, lifestyle factors, and medical history.
- Clone this repository to your local machine.
- Install the required dependencies:
pip install pandas matplotlib Flask scikit-learn keras
- Train the model by running:
python model.py
- Start the Flask web application with:
python gui.py
- Access the application through your web browser at http://localhost:5000.
- Fill in the form with the required information.
- Click the "Submit" button to get the predicted outcome.
This project is licensed under the MIT License. See the LICENSE file for details.
With this Lung Cancer Prediction system, early detection of lung cancer becomes more accessible, potentially saving lives through timely intervention. Please note that this prediction system is not a substitute for professional medical diagnosis, and anyone with suspected lung cancer should seek advice from a qualified healthcare professional.