Tejas AI - Carbon Footprint Tracker

Tejas AI: Analyze and reduce your carbon footprint with a gamified experience that lets you compete, collaborate, and lead the change with your friends

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🌿 Tejas AI - Gamified CO2 Footprint Tracker

💡 Inspiration

Creating a fun and engaging way to help individuals actively reduce their carbon footprint through a gamified experience. We wanted to encourage users to adopt eco-friendly habits by combining AI-driven insights with reward systems to make the process exciting and impactful. 🌎✨

🚀 What It Does

  • 🖼️ Image-Based Analysis: Users upload images of their activities, and the app uses AI to analyze the CO2 emissions associated with them.
  • 🌟 Gamification: Earn points for eco-friendly actions! Upload proof of your contributions, and we'll reward you.
  • 📊 Real-Time Dashboard: Displays personalized emission vs. reduction stats, motivating users to stay on track.
  • 🏆 Leaderboard: Compete with others and strive to be the #1 eco-warrior in your community!
  • 🤖 AI-Powered Suggestions: Get actionable recommendations to reduce your carbon footprint.

🛠️ How We Built It

  • Frontend: Developed using Bootstrap for a responsive, user-friendly interface.
  • Backend: Built with Express.js and EJS for dynamic content and MongoDB to store user data.
  • AI Integration:(From SambaNova Cloud Service And AWS bedrock Services)
    • 🌟 Meta-Llama-3.1-405B-Instruct: Powers the chatbot and generates tailored suggestions based on user data.
    • 🖼️ Image Recognition: Utilized AWS Rekognition to reward users for their eco-friendly actions.
    • 🤝 Llama-3.2-90B-Vision-Instruct: Accurately determines the CO2 emissions associated with uploaded images.
      -Cohere foundation Model ---

🛑 Challenges We Faced

  1. Integrating Image Recognition: Fine-tuning SambaNova AI to accurately detect labels and analyze images was a complex task.
  2. Prompt Optimization: Researching advanced techniques to improve the model's accuracy.
  3. AI Service Synergy: Seamlessly connecting multiple AI models to ensure consistent and reliable outputs.

🏅 Accomplishments We're Proud Of

  • 🎉 Successfully integrated AI in multiple features: chatbot, suggestions, image recognition, and analytics.
  • 🌟 Built a dynamic and gamified experience that encourages eco-friendly actions.
  • 🤝 Enabled seamless AI collaboration between Llama and SambaNova services for powerful results.

📚 What We Learned

  • 💡 How AI services can significantly enhance an application’s functionality and user engagement.
  • 🤔 The importance of fine-tuning models to handle real-world scenarios effectively.
  • 🌐 Balancing frontend aesthetics with backend functionality for an optimal user experience.

🔮 What's Next for Tejas AI - Carbon Footprint Tracker

  1. 🌍 Expand AI Features: Introduce predictive analysis to help users plan actions to reduce emissions.
  2. 📱 Mobile App: Launch a mobile version for better accessibility.
  3. 🏆 Community Challenges: Organize global events to foster collective action through team leaderboards.
  4. 🌟 Integration with IoT Devices: Enable tracking CO2 emissions from smart devices like thermostats and EVs.
  5. 🤝 Partnerships: Collaborate with sustainability organizations to provide real-world rewards for user actions.

🌟 Join us in our journey to reduce global carbon footprints, one action at a time! 🌱💪

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