# KrishiBazaar - Empowering Farmers and Consumers

Features

Dual Interfaces

KrishiBazaar provides separate interfaces for consumers and sellers. Users can Sign Up and Sign In with email verification to secure their accounts.

---

Seller Side

• Visualizing Sales Data: Sellers can view graphical reports of their sales using Recharts.
• Product Management: Sellers can add, edit, and delete products with images, details, location (via map), stock availability, and minimum order quantity.
• Order Management: A dashboard shows order requests with location coordinates on a map.
• FAQ Section: Sellers can answer common questions about their products, which will be visible to consumers.
• CropSense AI: Predicts suitable crops based on input parameters using Gemini AI.
• Fertilizer Prediction: Uses Machine Learning (ML) to suggest the best fertilizers based on soil and crop conditions.
• Crop Prediction Enhancement: Improves CropSense AI with advanced ML models for better crop recommendations.
• News Integration: Provides real-time agricultural news and market trends using an API.
• AI Chatbot: Helps users with agricultural queries, product recommendations, and general FAQs.

---

Consumer Side

• User-Friendly Interface: Consumers can browse products easily from the homepage.
• Detailed Product Dashboard: Displays product details, stock availability, and minimum order quantity. Users can add products to their cart.
• Review System: Users can leave reviews on products to build trust and transparency.
• Contact Farmer Form: Consumers can ask questions about products, and answered queries will appear in the FAQ section. The product location is shown on a map.
• Dynamic Cart Functionality: Users can adjust product quantities while ensuring that minimum order and stock limits are met.
• Seamless Checkout: Consumers can review orders, choose delivery locations, and place orders securely.
• Real-Time Stock Updates: Uses WebSocket (socket.io) to update stock availability instantly (Works locally but may not work on Vercel).
• Payment Gateway: Integrates Razorpay for a secure and smooth payment experience.

---

Technologies Used

MongoDB – Database

Node.js & Express.js – Backend server and RESTful APIs

React.js & Redux – Frontend UI and state management

Tailwind CSS – Responsive and utility-first CSS framework

Socket.io (WebSocket) – Real-time updates (chat, notifications, etc.)

Cloudinary – Image storage and management

Leaflet.js – Interactive map integration

Unsplash API – Product image sourcing

Recharts – Data visualization and graphs

Gemini AI – Crop prediction using natural language processing

Custom Machine Learning Models:

Fertilizer Recommendation Model – Recommends suitable fertilizers based on crop and soil data

Yield Prediction Model – Predicts crop yield using environmental and agricultural parameters

Razorpay – Payment gateway integration for transactions

---

Installation

To run CropConnect locally, ensure you have NodeJS and MongoDB installed.

Clone the repository:

git clone <repository-url>
cd CropConnect

Frontend Setup:

1. Navigate to the client folder.
2. Create a .env file in the root directory and add:

VITE_CROPCONNECT_API = http://localhost:8080/
RAZORPAY_KEY_ID = {your razorpay key id}
RAZORPAY_KEY_SECRET = {your razorpay key secret}

3. Install dependencies and run the frontend:

cd client
npm install
npm run dev

Backend Setup:

1. Navigate to the server folder.
2. Create a .env file in the root directory and add:

MONGO_DB_URL = {your mongodb url}
GEMINI_API_KEY = {your gemini api key}
GMAIL_ID = {your gmail id}
GMAIL = {your gmail id}
APP_PASSWORD = {your google account app password}
JWT_SECRET = {your jwt secret}
CLOUDINARY_CLOUD_NAME = {cloudinary cloud name}
CLOUDINARY_API_KEY = {cloudinary api key}
CLOUDINARY_API_SECRET = {cloudinary api secret}
STRIPE_SECRET_KEY = {your stripe secret key}
RAZORPAY_KEY_ID = {your razorpay key id}
RAZORPAY_KEY_SECRET = {your razorpay key secret}

3. Install dependencies and run the backend:

cd server
npm install
nodemon  # Use nodemon for automatic server restarts
# or
node index.js

By following these steps, you'll have CropConnect running locally. Adjust configurations as needed for your development environment.

---