AI help me to escape the one thing AI lives in — my screen.
This is my submission for the Hacktoberfest Open-Source AI Challenge — Week 1: Touch Grass . What I Built We spend so much time looking at screens that sometimes we forget to look at what's around us. A plant growing beside a road, a leaf with an unusual shape, or a tiny flower in a park can easily go unnoticed when we're busy scrolling. I wanted to build something that could make people a little…
The "Touch Grass" AI Challenge's week one project, "Jadi-Booti Solo," is an open-source nature exploration app aimed at encouraging people to step outside, notice plants around them, and record their experiences. The app employs AI to identify plants from photos and provides users with botanical information, including common names, botanical binomials, confidence scores, visual characteristics, traditional ecological uses, and safety considerations.
Jadi-Booti Solo also features a nature journal for users to save their observations and memories from their outdoor adventures. The project was built using HTML, CSS, JavaScript, Node.js, and Express for the backend, along with Meta's open-weight Llama 3.2 Vision for plant identification. The app's core pillars include AI plant identification, nature quests, and a nature journal.
The developers hope that Jadi-Booti Solo will inspire users to become more curious about their surroundings, learn about the plants they encounter, and appreciate the outdoors. The project emphasizes the importance of open innovation and open-weight AI models, allowing developers to explore and build upon the existing codebase to make the app more useful and accessible.
The developers stress that Jadi-Booti Solo is a small project, but the concept behind it is significant, as it encourages people to disconnect from their screens and reconnect with nature.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
