AyurMarg is an AI-powered web application that provides personalized healthcare recommendations based on authentic Ayurvedic principles. With AyurMarg, users can access information about Ayurvedic drugs, diseases, and symptoms, as well as receive personalized health advice tailored to their individual needs.
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Chatbot Interface: AyurMarg features a user-friendly chatbot interface that allows users to interact with the application using natural language queries.
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Information Mode: Users can search for information related to Ayurvedic drugs, diseases, and symptoms, and receive comprehensive information sourced from authentic Ayurvedic texts and scriptures.
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Diagnosis and Recommendation Mode: Users can input their symptoms and receive personalized healthcare recommendations, including medication suggestions, diet plans, and lifestyle changes based on Ayurvedic principles.
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Prakriti Analysis: AyurMarg analyzes user health records to determine their Prakriti or body type, and provides personalized recommendations based on this analysis.
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Telemedicine Services (Future Plan): AyurMarg plans to introduce telemedicine services, allowing users to consult with Ayurvedic doctors directly through the application.
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Herbal Marketplace (Future Plan): AyurMarg aims to include an herbal marketplace where users can purchase recommended medicines directly from the platform.
- Frontend: HTML, CSS, JavaScript
- Backend: Firebase, Streamlit
- Vector-based Library: Pinecone
- AI Utils: OpenAI Utils
- Language Processing: Langchain
To get started with AyurMarg, follow these steps:
- Clone the repository to your local machine.
- Install the necessary dependencies using npm or yarn.
- Set up the backend server with Firebase and Streamlit.
- Launch the frontend application with HTML, CSS, and JavaScript.
- Access the application through your web browser and start interacting with the chatbot interface.