https://drive.google.com/drive/folders/1W790gJj_REGk5bgR8evov4HHK-jSTIFx
The Ayurveda Health Recommender is a versatile software solution that harnesses the wisdom of Ayurvedic classical books and repositories to suggest drugs and formulations for specific diseases or pharmacological properties. Additionally, it features two powerful bots—one for addressing the drug recommendation problem and another for conducting Prakriti assessments. This project is built using HTML, CSS, JavaScript, and Bootstrap, making it accessible and user-friendly.
Live at :: https://ayurveda-sih2023.netlify.app
- Utilizes Ayurvedic classical books and repositories to provide suggestions.
- Helps users find suitable drugs and formulations for specific health concerns.
- Enhances healthcare decision-making with traditional Ayurvedic knowledge.
- Conducts Prakriti assessments to determine an individual's Ayurvedic constitution.
- Offers personalized health recommendations based on Prakriti.
- A valuable tool for holistic well-being and personalized healthcare.
- Access a curated collection of Ayurveda books.
- Explore informative blog posts about Ayurvedic practices.
- Empowers users with knowledge about Ayurveda and its principles.
- HTML
- CSS
- JavaScript
- Bootstrap
-
Clone this repository to your local machine.
git clone https://github.com/your-username/ayurveda-health-recommender.git -
Open the project in your preferred code editor.
-
Customize the application according to your needs.
-
Run the application in your web browser.
We welcome contributions from the community to enhance this Ayurveda Health Recommender. If you'd like to contribute, please follow these guidelines:
-
Fork the repository.
-
Create a new branch for your feature or bug fix.
-
Make your changes and ensure they are well-documented.
-
Test your changes thoroughly.
-
Create a pull request with a clear description of your contribution.
This project is licensed under the MIT License. See the LICENSE file for details.
For any questions or inquiries, please contact your-email@example.com.
We would like to express our gratitude to the Ayurvedic community for preserving and sharing the knowledge that makes this software possible. We also thank all contributors for their efforts in improving this project. Together, we can promote holistic well-being and empower individuals with Ayurvedic wisdom.
