MosesChirusha/day_29_pest_identification_guide

A lightweight, offline-first web application that helps farmers, schools, and agricultural extension workers identify common crop pests and apply safe, organic remedies. Designed specifically for Sub-Saharan African crops, this tool runs entirely in the browser with zero dependencies. # Day 29 — Pest Identification Guide (Developer README) A lightweight, offline-first web application that helps farmers, schools, and agricultural extension workers identify common crop pests and apply safe, organic remedies. Designed specifically for Sub-Saharan African crops, this tool runs entirely in the browser with zero dependencies. --- ## Resources - Demo: - Medium article: ## Tech Stack - HTML5 - CSS3 - Vanilla JavaScript - Local static dataset (JSON-in-JS) - Zero external libraries - Offline-first architecture --- ## Core Features - Crop-based selection via dropdown menu - Displays only relevant pests and organic remedies per crop - Dataset covering 30+ common Sub-Saharan African crops - Mobile-friendly, low-bandwidth design - Works entirely offline once loaded - Easily translatable into local languages --- ## License MIT License — free to use, modify, and distribute for educational, NGO, and community farming projects.