FarmPulse: Technical Implementation Overview

link:https://v0-hack-drill.vercel.app/dashboard

System Architecture

graph LR
    A[Farmer] --> B[React Frontend]
    B --> C[Express.js Backend]
    C --> D[PL/SQL Database]
    C --> E[OpenWeather API]
    C --> F[OpenAI API]
    C --> G[Finnhub API]
    D --> C
    E --> C
    F --> C
    G --> C
    C --> B

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Frontend Implementation (React + TypeScript + Tailwind CSS)

Core Components

1. User Profile Manager

   • Collects soil type, region, and crop history via form
   • Stores preferences in local storage
   • Syncs with backend via REST API

2. Dashboard Layout

   • Responsive grid with Tailwind CSS
   • Modular widgets for different data types
   • Dark/light mode support

3. Data Visualization

   • Market price charts (Finnhub data)
   • Weather forecast cards (OpenWeather data)
   • Interactive crop recommendation cards

4. Alert System

   • Real-time notification center
   • Color-coded urgency indicators
   • Historical alert browser

Key Technical Choices

• State Management: React Context API + useReducer
• Routing: React Router v6 with protected routes
• Data Fetching: Axios with interceptors for API calls
• Styling: Tailwind CSS with custom theme configuration
• Type Safety: TypeScript interfaces for all API responses

Backend Implementation (Express.js + PL/SQL)

API Endpoints

1. Farmer Profile Service

   • POST /api/farmers: Create new farmer profile
   • GET /api/farmers/:id: Retrieve farmer data
   • PUT /api/farmers/:id: Update profile information

2. Weather Service

   • GET /api/weather/:region: Fetch current weather and forecasts
   • POST /api/weather/alerts: Setup weather alert subscriptions

3. Market Data Service

   • GET /api/market/prices: Retrieve commodity prices
   • GET /api/market/trends: Get historical price trends

4. Advisory Service

   • POST /api/advisory/recommend: Generate crop suggestions
   • GET /api/advisory/pests: Get pest alerts for region

Database Structure (PL/SQL)

• Farmers Table: Stores farmer profiles and preferences
• Crop History Table: Tracks planting/harvest records
• Weather Alerts Table: Manages subscription settings
• Market Data Cache: Stores recent price information

API Integration Workflow

1. OpenWeather API

   • Hourly weather data fetching via cron jobs
   • Severe weather detection algorithm
   • Alert triggering mechanism

2. OpenAI API

   • Prompt engineering for crop recommendations
   • Response validation and sanitization
   • Caching frequent queries

3. Finnhub API

   • Daily commodity price updates
   • Trend analysis for major crops
   • Regional price comparison

Data Flow Sequence

sequenceDiagram
    Farmer->>Frontend: Enters profile data
    Frontend->>Backend: POST /api/farmers
    Backend->>PL/SQL: Save profile
    Backend->>OpenAI: Get crop recommendations
    OpenAI-->>Backend: Crop suggestions
    Backend->>PL/SQL: Store recommendations
    Backend-->>Frontend: Response with suggestions
    Frontend->>Farmer: Display dashboard
    loop Hourly Updates
        Backend->>OpenWeather: Request weather data
        OpenWeather-->>Backend: Current conditions
        Backend->>PL/SQL: Store weather data
        Backend->>Frontend: Push alerts (if needed)
    end

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Deployment Setup

Prerequisites

• Node.js v18+ (both frontend and backend)
• Oracle Database 19c+
• API keys for:
  • OpenWeather (free tier available)
  • OpenAI (GPT-4 access required)
  • Finnhub (free tier available)

Environment Configuration

1. Backend (.env)

   • Database credentials
   • API keys for external services
   • Server port configuration

2. Frontend (.env)

   • Backend API base URL
   • Mapbox access token (optional)
   • Analytics tracking ID (optional)

Build Process

1. Frontend

   • npm run build: Creates production-ready React app
   • Output: Static files in /build directory

2. Backend

   • npm run build: Compiles TypeScript to JavaScript
   • Output: JavaScript in /dist directory

Execution

1. Start backend service: npm start in backend directory
2. Serve frontend: Use NGINX or serve static build files
3. Configure reverse proxy for API access

Security Considerations

1. API Key Protection: Environment variables only
2. Data Encryption: HTTPS mandatory, database encryption
3. Input Validation: All user input sanitized
4. Rate Limiting: Express-rate-limit middleware
5. CORS: Strict origin restrictions

Performance Optimization

1. Database Caching: Frequent queries cached
2. API Response Caching: Redis for external API data
3. Lazy Loading: Frontend components load on demand
4. Image Optimization: Compressed assets
5. Code Splitting: React dynamic imports

Monitoring and Maintenance

1. Logging: Winston logger with daily rotation
2. Health Checks: /status endpoint monitoring
3. Error Tracking: Sentry integration
4. Alerting: Slack notifications for critical errors
5. Scheduled Tasks: Cron jobs for data updates