Building Real AI in 24 Hours: KrishiAI with GitHub Copilot

🚀 I Built a Full AI Farming Platform in 24 Hours (TensorFlow.js + NLP + ML) From idea to working product in a single day — here’s how I built KrishiAI, a multi-module AI system using TensorFlow.js, NLP, and ML algorithms with the help of GitHub Copilot. 🔥 Live Demo Preview 🧠 Architecture Diagram (Core of the System) 💡 What is KrishiAI? KrishiAI is an AI-powered farming assistant that provides: 🌿 Disease detection from plant images 💬 Multi-language chatbot 🌾 Crop recommendations 📈 Price prediction 🧪 Fertilizer optimization 🖼️ Feature Screenshots 🌿 Disease Detection 💬 AI Chatbot 🌾 Crop Recommendation 📈 Price Prediction ⚡ Tech Stack Frontend: React.js Backend: Express.js AI/ML: TensorFlow.js (CNN) KNN Algorithm ARIMA Model NLP: Natural.js APIs: Weather + agriculture datasets 🧩 How I Built It (Fast Breakdown) Setup (30 mins) Monorepo (React + Express) Modular AI architecture 🌿 Disease Detection (CNN) Image preprocessing → Model inference Output: disease + confidence + treatment POST /api/d