{"repo":"omroy07/AgriTech","free":true,"listed":false,"github":"https://github.com/omroy07/AgriTech","clone":"git clone https://github.com/omroy07/AgriTech.git","description":"AgriTech is an AI-powered web platform that offers crop recommendations, yield prediction, disease detection, and collaborative tools to empower farmers and promote smart, sustainable agriculture.","language":"Jupyter Notebook","stars":119,"topics":["agriculture","ai","crop-recommendation","flask","machine-learning","plant-disease-detection","smart-farming","sustainability","web-application","yield-prediction"],"license":null,"category":"machine-learning","readme_excerpt":"🌱 AgriTech — Smart Farming Solutions --- 📚 Table of Contents - Overview - Quick Start - Application Preview - System Architecture - Core Features - Tech Stack - Project Structure - Backend vs Frontend - Security & Reliability - Environment Variables - Roadmap - Contribution Flow - Team - Contributing & Support - Contributors - Production Deployment - API Keys Guide - Reporting Issues - License - FAQ --- ⚠️ Note: For production deployment, use a WSGI server like gunicorn instead of Flask's built-in server. ⚠️ Never commit your .env file or API keys to the repository. Always keep secrets private! --- AgriTech is an AI-powered smart agriculture platform designed to assist farmers with crop recommendations, yield prediction, plant disease detection, and community-driven collaboration—enabling sustainable and data-driven farming practices. --- 📌 Overview - AI-driven decision support for modern agriculture - Early-stage plant disease detection - Crop yield forecasting using machine learning models - Collaborative ecosystem for farmers and stakeholders --- 🚀 Quick Start 1️⃣ Clone the Repository 2️⃣ Run Backend (Primary – Flask) Backend URL: 🔍 Backend Health Check Expected response: 3️⃣ Run Frontend Frontend URL: Note: Backend and frontend must be running simultaneously for proper functionality. --- 🖥️ Application Preview --- 🏗️ System Architecture 1. User Input: Soil data and plant images 2. Backend Processing: Flask APIs and model routing 3. ML Inference: - CNNs for disease ","default_branch":null,"files":null,"tree":[],"storefront":"/r/omroy07","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/omroy07/AgriTech/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}