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 Route Scout: Generate 15–90 min trail loops with a 3-item sensory scavenger hunt.
• Frost & Soil Radar: Know what to sow (garlic, winter greens, bulbs) before the first freeze.
• Screen-Off Mode: Ambient forest breeze synthesizer to encourage pocketing your phone.

Demo

• Open index.html in your browser.
• Works 100% offline with zero API keys required.

Code

• GitHub: https://github.com/SrujanTag/FloraQuest-AI

How I Built It

• Open-Weight AI: Hugging Face @xenova/transformers running MobileNet-v2 directly on-device in WebAssembly.
• Stack: HTML5, Vanilla CSS, Vanilla JS, and Web Audio API for offline forest sounds.
• Local Fallback: Built-in offline trail database for zero-signal environments.

Why Does Open Innovation Matter?

• Runs with No Signal: Deep in the woods or on trails, closed cloud APIs don't work. Open weights run on your device without cell reception.
• Privacy: Photos and GPS location never leave your phone.
• Zero Cost: $0 in API fees or server hosting costs.

My Agent Session

Built with Antigravity AI pair programming assistant.

Prize Categories

• Best Use of Arduino