https://github.com/university-experience/fruitrecognitionsystem

Machine Learning project using neural network applied using javascript with nodejs & express to create a system to recognize fruits according to their sweetness and color.
https://github.com/university-experience/fruitrecognitionsystem

express javascript neural-network nodejs

Last synced: 1 day ago
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Machine Learning project using neural network applied using javascript with nodejs & express to create a system to recognize fruits according to their sweetness and color.

• Host: GitHub
• URL: https://github.com/university-experience/fruitrecognitionsystem
• Owner: University-Experience
• Created: 2023-11-28T15:54:58.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-12T04:56:49.000Z (11 months ago)
• Last Synced: 2025-01-24T16:49:55.855Z (1 day ago)
• Topics: express, javascript, neural-network, nodejs
• Language: JavaScript
• Homepage:
• Size: 4.45 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# 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](https://drive.google.com/file/d/1CX9-T6da9g1IIgfYGRbRURjkD9pLzPCd/view?usp=sharing).

## 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

[![Demo Video](https://github.com/BaraSedih11/FruitRecognitionSystem/assets/98843912/1caca5d3-c919-4e8b-9977-92657cc724b5)]()