PlantGuard AI
An offline-first plant and leaf health logging web application built with a PWA architecture. It uses Google Gemini AI for diagnostic capabilities and supports photo-based diagnosis, care habit tracking, and geolocation recording, designed for outdoor scenarios with limited connectivity.
Timeline (last 90 days)
PlantGuard AI is an offline-first plant and leaf health logging web application powered by Google Gemini AI for diagnostic capabilities.
PlantGuard AI adopts a PWA (Progressive Web App) architecture and supports full installation to a device.
While offline, users can log observations, take photos, and mark GPS location points; data is first stored in local IndexedDB and submitted to Gemini for analysis when connectivity is restored.
The core diagnostics of PlantGuard AI are powered by the Google Gemini API (gemini-flash series models), routed through a lightweight Node.js Express backend.
The GEMINI_API_KEY is strictly retained on the server side and is not exposed to the client.
The PlantGuard AI frontend is built with Vite + React/TypeScript + Tailwind CSS, and the local storage layer uses IndexedDB.
PlantGuard AI's map feature integrates Leaflet.js and OpenStreetMap, and GPS data is not sent to any third-party AI services.
The PlantGuard AI project entered the two award categories of 'AI & Open Source Apps' and 'Touch Grass / Outdoor Innovation.'
The PlantGuard AI project has been deployed and made live, with the complete GitHub repository publicly accessible.
All Facts (9)
PlantGuard AI is an offline-first plant and leaf health logging web application powered by Google Gemini AI for diagnostic capabilities.
50%UnverifiedPlantGuard AI adopts a PWA (Progressive Web App) architecture and supports full installation to a device.
50%UnverifiedWhile offline, users can log observations, take photos, and mark GPS location points; data is first stored in local IndexedDB and submitted to Gemini for analysis when connectivity is restored.
50%UnverifiedThe core diagnostics of PlantGuard AI are powered by the Google Gemini API (gemini-flash series models), routed through a lightweight Node.js Express backend.
50%UnverifiedThe GEMINI_API_KEY is strictly retained on the server side and is not exposed to the client.
50%UnverifiedThe PlantGuard AI frontend is built with Vite + React/TypeScript + Tailwind CSS, and the local storage layer uses IndexedDB.
50%UnverifiedPlantGuard AI's map feature integrates Leaflet.js and OpenStreetMap, and GPS data is not sent to any third-party AI services.
50%UnverifiedThe PlantGuard AI project entered the two award categories of 'AI & Open Source Apps' and 'Touch Grass / Outdoor Innovation.'
50%UnverifiedThe PlantGuard AI project has been deployed and made live, with the complete GitHub repository publicly accessible.
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