Dhyan AI 4.o 🌟

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!


🌱 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.


πŸ‹οΈ What it does

  • Personalized Yoga Recommendations 🧘: Suggests yoga asanas based on health problems, with detailed instructions and benefits.
  • Habit Tracking πŸ“Š: Monitors habits like water intake, yoga, and exercise with monthly progress stats.
  • Health Recipe Suggestions πŸ₯—: Recommends healthy recipes based on user-provided ingredients.
  • Pomodoro Timer ⏱️: Enhances productivity using the Pomodoro technique.
  • Nutritional Insights 🍎: Identifies foods rich in nutrients needed to alleviate health issues.

πŸ› οΈ How we built it

  1. Frontend: HTML, EJS, and Bootstrap for a responsive and intuitive user interface.
  2. Backend: Node.js with Express to handle routing and API integration.
  3. Database: MongoDB for secure and scalable data storage.
  4. AI: Leveraged SambaNova AI Cloud Services with the Meta LLM model for intelligent yoga and recipe recommendations.
  5. Authentication: AWS Cognito for secure and user-friendly login experiences.

🚧 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.

πŸ† 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.

πŸ“˜ 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.

πŸš€ What's next for Dhyan AI 4.o

  • Mobile App Development πŸ“±: Expanding accessibility through Android and iOS apps.
  • Advanced Analytics πŸ“Š: Introducing predictive analytics for user health trends.
  • Community Features 🌍: Building a social network for health and well-being enthusiasts.
  • IoT Integration πŸ”—: Connecting with fitness trackers and smart devices for seamless health monitoring.

πŸ–ΌοΈ Screenshots

1. Yoga Recommendations

Yoga Recommendations Yoga Recommendations

2. Habit Tracking

Habit Tracking

Health Recipes

4. Health Recipes

Health Recipes


πŸ“© Contact

We’d love to hear your feedback and suggestions!


⭐ If you enjoyed Dhyan AI 4.o, don’t 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)

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