SnapNature: Identify Nature with Open-Source AI — Touch Grass Challenge

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass

For Hacktoberfest Week 1 — "Touch Grass" — I built SnapNature, a mobile-first Progressive Web App that gets people out of their screens and into nature.

A minimal web application for nature image recognition using deep learning.

SnapNature uses a pre-trained ResNet50 model (ImageNet) to classify images. Upload a photo of plants, animals, or natural objects, and get instant predictions.

# Create virtual environment python -m venv venv venv \S cripts \a ctivate # Windows # source venv/bin/activate # Linux/Mac # Install dependencies pip install -r requirements.txt # Run the app uvicorn main:app --reload --port 8000 Enter fullscreen mode Exit fullscreen mode Visit http://127.0.0.1:8000 to use the web interface.