Dhyan AI 4.o π
Dhyan AI is a health and well-being web application designed to empower users by integrating personalized yoga recommendations, habit tracking, health recipe suggestions, and productivity tools. Here's a glimpse of our journey!
π± Inspiration
The increasing demands of modern life often compromise our health and well-being. We envisioned Dhyan AI 3.0 as a holistic solution to help individuals strike a balance between productivity and a healthy lifestyle using cutting-edge AI and cloud services.
ποΈ What it does
- Personalized Yoga Recommendations π§: Suggests yoga asanas based on health problems, with detailed instructions and benefits.
- Habit Tracking π: Monitors habits like water intake, yoga, and exercise with monthly progress stats.
- Health Recipe Suggestions π₯: Recommends healthy recipes based on user-provided ingredients.
- Pomodoro Timer β±οΈ: Enhances productivity using the Pomodoro technique.
- Nutritional Insights π: Identifies foods rich in nutrients needed to alleviate health issues.
π οΈ How we built it
- Frontend: HTML, EJS, and Bootstrap for a responsive and intuitive user interface.
- Backend: Node.js with Express to handle routing and API integration.
- Database: MongoDB for secure and scalable data storage.
- AI: Leveraged SambaNova AI Cloud Services with the Meta LLM model for intelligent yoga and recipe recommendations.
- Authentication: AWS Cognito for secure and user-friendly login experiences.
π§ Challenges we ran into
- Integration: Implementing AI recommendations using SambaNova API was challenging due to data processing requirements.
- User Experience: Striking a balance between feature richness and simplicity for the end user.
- Real-Time Updates: Ensuring real-time tracking and progress stats with minimal latency.
π Accomplishments that we're proud of
- Developed a user-friendly platform that integrates AI for meaningful health insights.
- Successfully implemented personalized yoga and recipe recommendations.
- Enhanced productivity through the Pomodoro timer feature.
- Built a scalable and secure platform using AWS and MongoDB.
π What we learned
- The power of combining AI with health applications to offer real-time solutions.
- Importance of designing an intuitive user interface for broader accessibility.
- Mastery over tools like AWS Cognito, MongoDB, and SambaNova API.
π What's next for Dhyan AI 4.o
- Mobile App Development π±: Expanding accessibility through Android and iOS apps.
- Advanced Analytics π: Introducing predictive analytics for user health trends.
- Community Features π: Building a social network for health and well-being enthusiasts.
- IoT Integration π: Connecting with fitness trackers and smart devices for seamless health monitoring.
πΌοΈ Screenshots
1. Yoga Recommendations

2. Habit Tracking


4. Health Recipes

π© Contact
Weβd love to hear your feedback and suggestions!
- Email: tmpravinraju@gmail.com
- LinkedIn: Pravin Raju
β If you enjoyed Dhyan AI 4.o, donβt forget to star the repository!
NOTE:
When entering The live link use these credentials to test the application;(as aws cognito user registration is under sandbox) Username: Raja Password: Pravinraju1234@
Constesting Tracks:
--> Magic loops $325 CASH --> $1625 CASH (STATSIG GRAND PRIZE) --> Exploratory use of LLMs and Vision models (1st place) ($2000 Nebius)
Built With
- ajax
- amazon-web-services
- bootstrap
- cognito
- express.js
- llm
- mongodb
- node.js
- sambanovaai

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