AgriAgent – AI-Powered Agricultural Companion

AgriAgent is a web application that provides AI-driven crop diagnostics, market intelligence, and agricultural guidance tailored for farmers in the Pune and Maharashtra region. It combines real-time data, educational content, and smart farming tools in one place.

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Features

• Crop Diagnosis – Upload or capture a photo of your crop; AI (Google Gemini) analyzes it and returns disease/health insights, severity, and recommendations in your chosen language.
• Market Intelligence – Live mandi prices, price history charts, and alerts for crops (e.g. maize, wheat, paddy, soybean) with Pune APMC context.
• Weather – Current conditions and 5-day forecast for the region with irrigation advisories.
• Government Schemes – Browse and filter Central & State schemes (irrigation, finance, equipment, insurance) with eligibility and benefit details.
• Digital Twin Simulation – Prototype rule-based simulation to explore how irrigation and fertilizer choices affect predicted yield, soil sustainability, and cost.
• AgriAcademy – Course modules, live regional dashboard, and embedded educational videos (YouTube) on farming basics, irrigation, pest management, and agri-tech.
• Finance – Placeholder for future micro-loans, crop insurance, and expense tracking (coming soon).
• AgriStore – Placeholder for seeds, fertilizers, and tools marketplace (coming soon).
• Sustainability – Information on precision farming, soil health, and carbon tracking.
• Team – Project team and roles.
• Multi-language – Full UI and AI responses in English, Marathi (मराठी), and Hindi (हिंदी).
• Dark mode – Toggle with preference stored in localStorage.
• Authentication – Sign up / Sign in with email and password (Supabase); session persists across pages. Finance and alerts respect login state.

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Tech Stack

Area	Technology
Frontend	React 19, TypeScript
Build	Vite 6
Styling	Tailwind CSS (CDN), darkMode: 'class'
Charts	Recharts
Auth	Supabase (email/password)
AI	Google Gemini API (crop image analysis)
Icons	Lucide React

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Project Structure

├── index.html              # Entry HTML, Tailwind + dark mode script
├── index.tsx                # React entry
├── App.tsx                  # Root app, routing, session, dark mode state
├── types.ts                 # Shared types (Page, DiagnosisResult, MarketPrice)
├── translations.ts          # en / mr / hi UI strings
├── vite.config.ts
├── tsconfig.json
├── lib/
│   └── supabase.ts          # Supabase client
├── services/
│   └── geminiService.ts     # Gemini crop image analysis
├── components/
│   ├── Navbar.tsx           # Nav, language switcher, dark toggle, login/user
│   ├── Footer.tsx
│   ├── ChatBot.tsx          # In-app AI chat
│   └── AgriVaani.tsx        # Voice assistant UI (demo)
├── pages/
│   ├── HomePage.tsx
│   ├── DiagnosePage.tsx     # Camera/upload + Gemini diagnosis
│   ├── MarketPage.tsx
│   ├── WeatherPage.tsx
│   ├── SchemesPage.tsx
│   ├── SimulationPage.tsx  # Digital Twin
│   ├── AcademyPage.tsx
│   ├── FinancePage.tsx
│   ├── StorePage.tsx
│   ├── SustainabilityPage.tsx
│   ├── TeamPage.tsx
│   └── LoginPage.tsx
├── public/
│   └── team/                # Team images
├── supabase_schema.sql      # Reference schema (if applicable)
└── README.md

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Prerequisites

• Node.js (v18 or later recommended)
• npm (or yarn/pnpm)
• Gemini API key – from Google AI Studio (for crop diagnosis).
• Supabase project is preconfigured in code; replace URL/key in lib/supabase.ts if using your own project.

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Setup & Run

1. Clone the repository

   git clone <repository-url>
   cd agriagent---ai-agricultural-companion

2. Install dependencies

   npm install

3. Environment variables
   Create a .env or .env.local in the project root and set:

   VITE_GEMINI_API_KEY=your_gemini_api_key_here

   If the app reads the key via import.meta.env, use the VITE_ prefix so Vite exposes it. If your code uses process.env.API_KEY, set API_KEY instead and ensure your build tool injects it.

4. Run the development server

   npm run dev

   Open the URL shown in the terminal (e.g. http://localhost:5173).

5. Production build

   npm run build
   npm run preview   # optional: preview production build locally

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Environment Variables

Variable	Description
VITE_GEMINI_API_KEY or API_KEY	Google Gemini API key for crop image analysis. Required for the Diagnose feature.

Supabase URL and anon key are currently in lib/supabase.ts. For production, move them to environment variables and use import.meta.env.VITE_SUPABASE_URL / VITE_SUPABASE_ANON_KEY (or your build’s equivalent).

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Key Behaviors

• Crop diagnosis – Uses Gemini to analyze a base64 image and return structured disease/severity/recommendations; language is passed so responses match UI language.
• Auth – Supabase handles sign up and sign in; email verification is disabled in flow; session is restored on load and redirects away from Login when already logged in.
• Dark mode – Stored in localStorage under agriagent-theme (dark / light); a script in index.html runs before paint to avoid flash.
• Finance / Store – Show “This feature is coming soon” and do not require login for viewing; loan/insurance actions show the same message.

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License

See LICENSE in the repository.