FloraQuest AI
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built FloraQuest-AI is a lightweight, offline-first web companion designed to get you off the screen and into nature in under 60 seconds. Features: Offline Specimen ID: Identify trail leaves, trees, and birds using open-weight vision models (MobileNet-v2) running directly in your browser. Fall Foliage…
This submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass introduces FloraQuest-AI, a lightweight, offline-first web companion designed to help users escape screens and explore nature within 60 seconds. Key features include Offline Specimen ID, Fall Foliage Route Scout, Frost & Soil Radar, and Screen-Off Mode.
The tool runs entirely offline, requiring no API keys or cloud connectivity, making it ideal for deep in the woods or on trails when signal is unavailable. FloraQuest-AI utilizes open-weight AI models, specifically MobileNet-v2, for specimen identification directly on the user's device. Privacy is prioritized as photos and GPS location data never leave the user's phone.
The project is open-source and can be found at https://github.com/SrujanTag/FloraQuest-AI. The creator used Antigravity AI's pair programming assistant during development.
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