🌿 GardenBuddy AI: Less Scrolling, More Growing
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built 🌿 GardenBuddy AI — Less Scrolling, More Growing GardenBuddy AI is an AI-powered gardening companion designed to help people make better gardening decisions and spend more time outdoors. Gardening beginners often struggle to choose suitable plants, understand plant care, and organize everyday…
This submission is for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass. The project is GardenBuddy AI, an AI-powered gardening companion designed to assist individuals with their gardening needs and encourage more time outdoors. The app is aimed at gardening novices, home gardeners, and anyone seeking practical assistance in plant care.
Key features include a plant finder that suggests suitable plants based on sunlight and available space, an AI gardening advisor that answers gardening questions with contextual advice powered by a locally running Gemma 2B model, gardening task management for organizing watering, pruning, harvesting, and other activities, local data storage in SQLite, and integration with Open-Meteo for location and weather information.
The project is built using a React frontend, Python backend, local AI inference, and SQLite database. The AI model is Gemma 2B, accessed via Ollama, which enables local inference instead of relying on external APIs. GardenBuddy AI's purpose is to simplify gardening through technology and then encourage users to apply the advice in their gardens.
The code, installation instructions, and application implementation are available in the GitHub repository. The project aims to promote open innovation, allowing users more control over their AI environment and enabling developers to inspect, modify, and extend the application.
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