Smart Garden Planner
What I Built AI Garden Planner is a smart gardening application that helps users decide what to plant based on their location, local weather conditions, and seasonal growing patterns. Users can view their location on a map, check the current date and weather forecast, and receive personalized planting recommendations and gardening tasks for the week. The goal is to make gardening easier for…
The AI Garden Planner is a mobile application designed to assist users in determining what to plant based on their geographical location, current weather conditions, and seasonal growing patterns. Users can interact with the application by viewing their location on a map, checking the current date and weather forecast, and receiving customized planting suggestions along with a list of weekly gardening tasks.
The app strives to simplify the gardening process for novices while also encouraging individuals to engage more with nature and reduce screen time. The development of the application is based on a combination of technologies, including React and Tailwind CSS for the user interface, Node.js and Express for the server-side functionality, and PostgreSQL for data management. For mapping purposes, the application utilizes Leaflet and OpenStreetMap.
Weather data plays a crucial role in the application's decision-making process, as it helps identify optimal growing conditions for various plants. The core of the AI Garden Planner's functionality lies in an open-weight AI model, which will generate personalized planting recommendations tailored to each user's specific needs and preferences. This model aims to explain which plants to choose and how to properly care for them.
A key feature of the project is the provision of offline access to saved gardening plans, ensuring that users can follow their recommendations even when they are away from the internet. The open-source nature of the AI model enhances the project's flexibility and customization options, allowing for experimentation with different models, fine-tuning of gardening suggestions, and local inference without relying solely on proprietary AI APIs.
The project's developers aim to create a practical tool that bridges the gap between technology and nature, making gardening accessible to a broader audience by combining the conveniences of modern technology with the benefits of traditional gardening.
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