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reports of garden
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homepage of garden
Gardening has always been a challenging task. When issues arise in the garden, it's often a trial-and-error process with fertilizers, or you risk watching your plants wither away. This problem sparked the inspiration for my project. I decided to use sensor data collected from multiple points in the garden to form a grid-like representation of the garden's health. This data is then fed into the Gemini AI, which provides actionable insights and recommendations to improve the garden's condition.
In the current iteration of the project, the data is displayed on a website, allowing gardeners to monitor their garden's status. Looking ahead, I plan to implement individual sensors for each plant and develop a mobile app, making it even more convenient for users to check the live status of their garden.
Through this project, I've learned how to integrate hardware, software, and AI to create a smart, real-time garden care solution. Some challenges I faced included ensuring accurate data collection, managing real-time updates, and integrating the AI with the sensor data. However, overcoming these challenges has made the project even more rewarding and has provided me with valuable experience in building intelligent, interactive systems.
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