"Make your health a priority."
Sympto is a web application designed to predict diseases based on symptoms input by the user. It utilizes a machine learning model trained on a dataset of diseases and symptoms to provide predictions. This predictive tool offers early insights, fostering informed health decisions by combining user symptoms with a vast knowledge base to deliver accurate and personalized disease predictions.
- Disease prediction based on user-input symptoms
- User-friendly web interface
Sympto now includes a mental health assessment feature, allowing users to not only check for physical ailments but also to evaluate their mental well-being. This feature aims to raise awareness and provide support for mental health issues, making it easier for users to seek help and guidance.
To set up the Sympto application on your local machine, follow these steps:
- Clone the repository:
git clone https://github.com/ayushi0111/Sympto.git
- Install the required dependencies:
pip install -r requirements.txt
- Run the application:
python app.py
After installation, navigate to http://localhost:5000 in your web browser to start using the Sympto application.
Contributions are welcome! If you have suggestions or improvements, please fork the repository and submit a pull request.
Sympto is released under the MIT License. See the LICENSE file for more details.