- Team Name: Aeternum
- Track: AI in AYUSH
| Name | Role | GitHub | |
|---|---|---|---|
| Chris Thomas Abraham | WebDeveloper & Designer | @ChrisToms14 | Chris Thomas Abraham |
| Krishna D S | Bot Developer | @Krishn543 | Krishna Sivakumar |
| Midhun Eswar V L | Bot Developer | @Midhun6-tech | Midhun Eswar |
| Vedha Mahadevan | WebDeveloper | @Vedha17Mahadevan | Vedha Mahadevan |
This project uses AI to make AYUSH treatments more accessible and trustworthy. It will allow users to get reliable information and recommendations easily. This solution will act as a bridge that connects the traditional medicine with modern technology to provide awareness and healthcare support.
Despite a growing interest in natural medicine and AYUSH based healthcare practices, most people, especially urban dwellers, lack proper knowledge and access to such credible and sustainable healthcare solutions preventing them form adopting these practices.
We propose an AI-driven application that helps increase awareness and knowledge regarding AYUSH based medical practices offering personalized guidance and natural remedies for everyday health concerns. It also promotes overall wellness and sustainable healthcare, making natural healing accessible to all.
VedAyu : VideoProof
VedAyu : Website_link
- Frontend: HTML/CSS
- Backend: Python/JS
- Database: N.A
- APIs: GroqCloud
- DevOps: N.A
- Other Tools: Vercal , GitHUb (Hosting)
- AI chatbot
- Wellness Section
- Mental Wellness Section
- Basic knowledge of HTML, CSS, JavaScript, and Python
- Internet connection
- Understanding GroqCloud API integration
# Clone the repository
git clone https://github.com/your-repository-link
# Navigate into the project directory
cd vedayu
# Install necessary Python dependencies (if applicable)
pip install -r requirements.txt
# For frontend, make sure HTML, CSS, and JS files are set up# Start the backend server (if using Python)
python app.py
# Run the frontend locally (if using a simple HTTP server)
python -m http.server
# Access the website at the following URL
http://localhost:8000- Planning: We spent the first hour brainstorming and consolidating our ideas, defining the scope of the project and objectives.
- Task Distribution: The team split into two groups: one focused on bot development and the other on web development, with the target to complete both simultaneously.
- Integration: Once the development was completed, we focused on integrating the chatbot and the website smoothly.
- Final Touches: After integration, we prepared for the presentation, refined the project, and made necessary adjustments.
- AI Chatbot: Building an intelligent chatbot was challenging, but we used GroqCloud's API for seamless integration and accurate responses.
- UI Design: Creating a responsive, user-friendly interface was tough, but HTML/CSS frameworks helped streamline the process.
- Chatbot Integration: Ensuring smooth interaction between the chatbot and website was tricky, but we achieved it with careful backend and frontend integration.
- Database Integration: Adding a database to store user preferences and health records.
- Advanced AI: Expanding the AI capabilities to include personalized health tracking and wellness suggestions.
- Mobile App Version: Developing a mobile app for easier access and interaction on mobile devices.
- Completed all sections of this README
- Added project demo video
- Provided live project link
- Ensured all team members are listed
- Included setup instructions
- Submitted final code to repository
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