- Inspiration: Transform urban gardening into a sustainable, tech-driven practice.
- What it does: AI-powered plant care and resource optimization.
- How we built it: Combined machine learning, IoT sensors, and a robust web app.
- Challenges: Integrating real-time data and ensuring reliable sensor communication.
- Accomplishments: Streamlined plant identification, eco-friendly resource management, community engagement.
- What we learned: The importance of precise data and user-centric design in eco-tech.
- What's next: Expanding features, integrating deeper analytics, and enhancing community tools. Add health analysis and more features!
Demo Link 1 : https://youtu.be/TFfJkaxInFA Demo Link 2 : https://youtu.be/a2nXiTA_Fu4
Built With
- arduino-based
- google-gemini-api
- iot
- react
- supabase
- tailwind-css
- typescript
- vite
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