Ruffyscorner/AgriSight

AgriSight is an AI-powered crop disease detection website designed to help Zimbabwean farmers identify maize and tomato leaf diseases early using image recognition and TensorFlow.js. The platform provides multilingual farmer-friendly advice in English, Shona, and Ndebele to support sustainable farming and improve food security. # AgriSight AgriSight is an AI-powered crop disease detection website designed to help Zimbabwean farmers identify maize and tomato leaf diseases early using image recognition and TensorFlow.js. The platform provides multilingual farmer-friendly advice in English, Shona, and Ndebele to support sustainable farming and improve food security. ## How It Works AgriSight uses AI-powered image recognition to detect diseases in maize and tomato leaves. Users can upload an image or use their camera to scan a crop leaf. The AI model analyzes the image and predicts whether the crop is healthy or affected by disease. After detection, AgriSight provides: - Disease prediction results - Confidence percentage scores - Farmer-friendly treatment advice - Prevention recommendations - Multilingual support in English, Shona, and Ndebele The platform is designed to help farmers identify crop diseases early, reduce crop losses, and improve food security. ## Tech Stack - HTML5 - CSS3 - JavaScript - TensorFlow.js - Google Teachable Machine - GitHub Pages (deployment) ## Features - AI crop disease detection - Maize and tomato disease classification - Camera and image upload support - Real-time prediction analysis - Multilingual interface - Farming advice library - Responsive design for mobile and desktop