Adiya-0707/HACKATHON

# 🌾 AgriSmart AI - AI-Powered Agriculture Crop Advisory SaaS Platform A production-ready AI-powered Crop Advisory Assistant built with **React**, **TypeScript**, **Vite**, **Tailwind CSS**, **Node.js**, **Express**, **Supabase PostgreSQL**, and Google's **Gemini AI (`@google/genai`)**. --- ## 🌟 Key Features - **User Authentication**: Supabase Auth & JWT session protection with 1-click Demo login capability. - **Farm Management**: Create, edit, and manage farm profiles (Soil Type, Farming Season, Land Size in Acres, Irrigation Infrastructure). - **Gemini AI Crop Advisory**: Powered by `@google/genai` (Gemini 2.5 Flash) with strictly validated structured JSON output providing top crop recommendations, NPK fertilizer dosing, irrigation schedules, pest management, and expected harvest yields. - **Advisory History**: Searchable, filterable history log stored in Supabase with printable PDF report export. - **Resilient Fallback Mode**: Functions out of the box with intelligent agronomic engine fallbacks even before external database or API keys are added. - **Row-Level Security (RLS)**: Enforces complete user isolation for all farm profiles and advisories. --- ## 🚀 Technology Stack ### Frontend - React.js 18 + Vite + TypeScript - Tailwind CSS (Custom Agricultural Green/Earth design system) - Lucide React Icons & Radix-inspired glassmorphism ### Backend - Node.js + Express.js (TypeScript) - Zod Request & AI Response Schema Validation - Rate Limiting & Security Middlewares ### Database & AI - Supabase PostgreSQL with RLS Policies (`schema.sql`) - Google Gemini API via official `@google/genai` SDK --- ## 🛠️ Quick Start & Installation ### 1. Install Dependencies Run from the root directory to install all monorepo dependencies: ```bash npm run install:all ``` ### 2. Configure Environment Variables Create a `.env` file in the root directory (see `.env.example`): ```env PORT=5000 SUPABASE_URL=your-project.supabase.co SUPABASE_ANON_KEY=your-supabase-anon-key S …