Fruit Recognition System

This repository contains the code for a Fruit Recognition System. The system is designed to identify various types of fruits using image classification techniques. It is built using HTML, CSS, JavaScript, EJS, Node.js, and Express.

Features

• Image Classification: The system uses machine learning algorithms to classify images of fruits into different categories.
• Web Interface: The system comes with a web-based interface built using HTML, CSS, JavaScript, and EJS templates for easy interaction.
• Pre-trained Models: Pre-trained models are included for easy setup and usage.
• Customizable: The codebase is highly customizable, allowing users to fine-tune models or train their own from scratch.

Usage

Installation

1. Clone this repository:

git clone https://github.com/BaraSedih11/FruitRecognitionSystem.git

2. Navigate to the project directory:

cd FruitRecognitionSystem

3. Install dependencies:

npm install

Running the System

1. Start the server:

node app.js

2. Open your web browser and navigate to http://localhost:3000.

3. Follow the on-screen instructions to classify images using the web interface.

Dataset

The system is trained on a dataset containing images of various fruits. The dataset used can be found here.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please fork the repository and submit a pull request.

Contact

For any inquiries or issues regarding the project, feel free to contact the project owner: BaraSedih11.

Demo Video