Shoe Hype 👟

This is a website that help shoe lovers get shoe recommendations and buying options on the basis of the shoe image uploaded by them.

Live Link

Demo Video

SHOE_HYPE_PRESENTATION.mp4

Features & Tech Stack

• This is a CNN based Recommender System and uses RESNET 50 for feature extraction.
• The Features of uploaded image are compared with the features of dataset images with the help of scikit-learn pipeline.
• The user Interface is designed using Python and Streamlit.
• For fetching the product details dataset having more than 20k+ rows was cleaned and analyzed.

Work Plan

Usage

• First go to the Webpage and upload the image of the shoe one is looking for.
• Then find the recommendations.
• Top 5 recommendations will be shown to the user along with the buying options.

Getting Started

• Clone my repository.
• Open CMD in working directory.
• Run following command.

  pip install -r requirements.txt
  

• SHOE_HYPE.py is the main Python file of Streamlit Web-Application.
• To run app, write following command in CMD. or use any IDE.

  streamlit run SHOE_HYPE.py
  

Work Together

• Feel free to Open an issue on GitHub and work together on adding new features.
• Connect with me on LinkedIn. I'd love ❤️️ to hear that you love this project.

License

This software is open source, licensed under the MIT License.