https://github.com/vedant363/fashion-recommender-system

A Fashion recommender system built using Python and Streamlit, that suggests clothing items based on input image
https://github.com/vedant363/fashion-recommender-system

nearest-neighbor python recommender-system streamlit streamlit-dashboard tensorflow

Last synced: 7 months ago
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A Fashion recommender system built using Python and Streamlit, that suggests clothing items based on input image

• Host: GitHub
• URL: https://github.com/vedant363/fashion-recommender-system
• Owner: Vedant363
• License: mit
• Created: 2024-04-09T13:51:33.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-31T18:57:31.000Z (about 1 year ago)
• Last Synced: 2025-01-23T12:31:27.451Z (9 months ago)
• Topics: nearest-neighbor, python, recommender-system, streamlit, streamlit-dashboard, tensorflow
• Language: Python
• Homepage:
• Size: 8.24 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Fashion Recommender System

This is a fashion recommender system built using Python and Streamlit.

## Overview

The Fashion Recommender System suggests clothing items to users based on the uploaded image and other relevant factors. It aims to enhance the user experience by providing personalized recommendations tailored to individual tastes.

## Features

- Recommendation Engine: Utilizes machine learning algorithms to recommend clothing items based on user preferences.

- Interactive Interface: Built using Streamlit to create an intuitive and user-friendly experience.

## Requirements

- Python (3.10 and higher)

- Tensorflow

- Streamlit

- Pandas

- Scikit-learn

- NumPy

## Installation

1. Clone the repository

2. Install dependencies

3. Run the application

4. Access the application through your web browser.

## Preview

![Main Image](img/FRS_main.png)

# Test-1

![Shoe Image](img/FRS_test1.png)

# Test-2

![Watch Image](img/FRS_test2.png)

 

## License

This project is licensed under the [MIT License](LICENSE).

## Acknowledgments

Special thanks to [Streamlit](https://streamlit.io/) for providing an excellent framework for building interactive web applications with Python.