This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass
## What I Built
WildLens AI is an offline-first app that helps people explore nature. Users photograph plants, identify them using AI, learn interesting facts, and complete outdoor missions instead of spending time scrolling on their phones.
## Key features
Nature Scanner: Identify plants from photos using an open-weight image classification model.
Pocket Field Guide: Discover interesting facts about identified plants.
Touch Grass Missions: Complete real-world challenges, such as finding three different leaf shapes or spotting five types of flowers.
Discovery Journal: Save discoveries locally and build a personal nature collection.
Offline Mode: Run the image recognition model locally without sending photos to a cloud AI service.
The app is designed for hikers, students, nature enthusiasts, and anyone who wants to spend less time on screens and more time exploring.
## How I Built It
Built using React, Tailwind CSS, an open-weight plant image classification model, and ONNX Runtime Web for local AI inference.
## Why Does Open Innovation Matter?
- Open-source AI enables offline identification, better privacy, and freedom to experiment with different models without depending on paid proprietary AI APIs.
- Nature exploration is personal. Users may photograph private gardens, remote trails, or places with unreliable internet connectivity. 3.Open-source AI makes it possible to build an experience where photos stay on the user's device and identification can work without a constant internet connection.
Thank You!! :-)
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