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"Agri-Assist Project: MERN stack and Flask-powered agricultural app. Modules include plant disease prediction, crop selection, and e-commerce for farmers. React frontend, MongoDB backend, AWS S3 for image storage, Now GCP has been introduced for image storage"

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Agri-Assist-Project

Welcome to Agri-Assist Project, an innovative agricultural application designed to tackle key challenges in farming using cutting-edge technology. This project, developed with the MERN (MongoDB, Express.js, React, Node.js) stack and integrated with a Flask API, encompasses two distinct modules. These modules cater to crop-related issues and enable yield marketing through an intuitive e-commerce platform.

Features

Crop-related Issues Module

  • Plant Disease Prediction: Employing advanced algorithms to predict and identify plant diseases for proactive management.
  • Crop Selection: Utilizes detailed soil and climate information to recommend suitable crops for cultivation.

Yield Marketing Module

  • E-commerce Platform: Empowering farmers to seamlessly post and sell their crops, creating a dynamic virtual marketplace.
  • User Roles: Designed for farmers and common people for purchasing.

Technologies Used

  • Frontend: Developed with React, utilizing CSS frameworks such as MUI and react-bootstrap.
  • Middleware: Leveraging Express.js for efficient communication between frontend and backend.
  • Backend: Powered by Node.js for orchestrating complex operations.
  • API: Flask, providing additional functionality and seamless integration.
  • Database: MongoDB stores user credentials, while AWS S3 bucket is used for image storage,Now Google Cloud Platform has been introduced to store images through google-drive API

Installation

  1. Clone the repository: git clone https://github.com/MohdSaif-1807/agri-assist-project.git
  2. Navigate to the project directory: cd agri-assist-project
  3. Install dependencies: npm install (for both frontend and backend)
  4. Navigate to the project directory: cd agri-assist-project/flask-backend
  5. Install dependencies: pip install -r requirements.txt

Usage

  1. Start the backend server: npm run start:backend
  2. Start the frontend development server: npm run start:frontend
  3. Stare the flask-backend server:python app.py

Project Execution Screenshots

Farmer Section

Home Page

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Sign Up Page

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Login Page

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Farmer Feature Section

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Crop Related Issues Section

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Plant Disease Prediction

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Plant Disease Prediction Input

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Plant Disease Prediction Output-1

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Plant Disease Prediction Output-2

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Crop Prediction Section

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Crop Prediction Section Input

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Crop Prediction Output

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Farmer's Yeild Marketing Section-1

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Farmer's Yeild Marketing Section-2

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Posting New Item-1

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Posted Item Acknowledgement

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New Item Posted Successfully

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Deleting Item

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Item Deleted Successfully

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Normal User Section

User's Feature Section

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User's Yeild Marketing Section

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Adding an item to cart

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Acknowledgement for addition of an item

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Contact Us Section

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Contact Us Form Sended Acknowledgement

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Mail response

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About

"Agri-Assist Project: MERN stack and Flask-powered agricultural app. Modules include plant disease prediction, crop selection, and e-commerce for farmers. React frontend, MongoDB backend, AWS S3 for image storage, Now GCP has been introduced for image storage"

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