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vivekmenonm/symptom-to-disease

The Disease Classifier System is a sophisticated and reliable disease classification application designed for accurate disease prediction based on input symptoms. Utilizing state-of-the-art machine learning algorithms and medical expertise, this system analyzes symptom patterns to provide precise and reliable disease classification.

classificationdisease-predictionnlp

Symptom to Disease Classifier

This application uses deep learning to classify diseases based on symptoms provided by the user.

Prerequisites

  • Python 3.7 or higher
  • Dependencies listed in requirements.txt

Usage

  1. Clone the repository: git clone https://github.com/vivekmenonm/symptom-to-disease.git

  2. Install the required dependencies using the requirements.txt file:

  3. Run the application using streamlit run app.py:

  4. Open your web browser and visit the following URL:

  5. In the web interface, enter the symptoms in the text area and click the "Predict" button to see the predicted disease based on the provided symptoms.

Customization

  • You can modify the model architecture or hyperparameters in training.ipynb to improve the accuracy or adjust the behavior of the model.

  • To customize the title and favicon, you can change the values in the st.set_page_config() function in app.py.

License

This project is licensed under the MIT License.

Languages

Jupyter Notebook88.0%Python12.0%

Contributors

VI
MIT License
Created June 20, 2023
Updated April 19, 2025