AgriSmart

Overview

This project was developed as part of the PIDEV – 3rd Year Engineering Program at Esprit School of Engineering (Academic Year 2025–2026).

AgriSmart is a smart agricultural management system designed to digitalize farm operations and improve administrative efficiency. It integrates modern web technologies with AI-based face recognition for secure and intelligent authentication.

Features

• Secure authentication with JWT
• AI-based face recognition login
• Farmer and user management
• Admin dashboard with statistics
• Full CRUD operations
• Role-based access control

Tech Stack

Frontend

• Twig
• Bootstrap

Backend

• Symfony (PHP)
• MySQL

AI Module

• Python (Face Recognition)

Architecture

AgriSmart follows a 3-tier architecture:

• Presentation Layer: Twig + JavaScript
• Business Logic Layer: Symfony Controllers & Services
• Data Layer: MySQL Database
• AI Module: Python integrated with Symfony

Contributors

PIDEV Project Team:

• Abir Benkhlifa
• Soumaya Drydy
• Aya Fdhyla
• Amine Arfaoui
• Akrem Zaied

Academic Context

Developed at Esprit School of Engineering – Tunisia
PIDEV – 3A34 | 2025–2026

Getting Started

1. Clone the repository:

git clone https://github.com/Abir-BK/agrismart.git

2. Go to the project directory:

cd agrismart

3. Install dependencies:

composer install

4. Configure environment:
   Update the .env file with your database credentials.

5. Run migrations:

php bin/console doctrine:migrations:migrate

6. Start the server:

symfony server:start

Acknowledgments

Special thanks to our professors and mentors at Esprit School of Engineering for their support and guidance.