This project uses machine learning to predict thyroid disorders based on medical data. The model is trained to classify patients into different thyroid conditions using various features.
The Thyroid Prediction project utilizes a Random Forest Classifier to diagnose thyroid disorders. The web application is built using Flask and provides an interface for users to input medical data and receive predictions about thyroid conditions.
Clone this repository to your local machine or download the ZIP file.
git clone https://github.com/santhosh-2901/thyroid_prediction.gitNavigate to the project directory.
cd thyroid_predictionInstall the required Python dependencies.
pip install -r requirements.txt- Start the Flask app.
python app.py
- Open your web browser and navigate to http://localhost:8000 to access the web app.
- Enter the values for the medical features as prompted in the form.
- Click on the "Predict" button to generate a prediction about whether the user has a thyroid disorder.
- The prediction result will be displayed on the web page.
If you would like to contribute to this project, you can follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix.
git checkout -b feature/your-feature-name
- Make your changes and commit them with descriptive commit messages.
git commit -m "Add feature X" - Push your changes to your forked repository.
git push origin feature/your-feature-name
- Open a pull request in this repository and provide a detailed description of your changes.
This project is licensed under the MIT License.
This project was developed as part of an AI & Data Science course. Special thanks to the dataset providers and all contributors.
If you have any questions, suggestions, or feedback, please feel free to contact santhoshkumar[santhoshjan2001@gmail.com].
We hope you find this web app useful!
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