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StyleSense is a unique fashion inventory app which combines power of CNN and content-based filtering to help users to classify various clothing items as well as find similar type of products based on the user uploads, as well as curating a pre-defined styles section to help users to enhance their fashion taste.

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YashBaviskar1/StyleSense

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StyleSense

StyleSense is a unique fashion inventory app which combines power of CNN and clustering to help users to classify various clothing items as well as find similar type of products based on the user uploads, as well as curating a pre-defined styles section to help users to enhance their fashion taste.

Setup and Installation

To run this project on your location machine follow these steps

  • clone this project
git clone https://github.com/YashBaviskar1/StyleSense.git
  • once installed go in the clone directory
cd StyleSense
  • make sure virtualvenv is installed, to install venv to host python run this command
pip install virtualenv
  • open the terminal in the StyleSense directory and run this command
 python -m venv myenv
  • to activate the virtual enviroment in your terminal run these commands
 myenv/Scripts/activate.bat //In CMD
 myenv/Scripts/Activate.ps1 //In Powershell
  • to check if virtual enviroment is active, you will see a (myenv) in your terminal, it means you have successfuly activated the virtual enviroment

  • to check the dependencies you can run this command

pip list
  • to install these dependecies you can run the following command (this will take time)
pip install -r requirements.txt
  • in order. to run the project you can flask run in your terminal
flask run
  • This will start a local server. You can view the web application in your browser.and to To quit the server, press Ctrl + C.

About

StyleSense is a unique fashion inventory app which combines power of CNN and content-based filtering to help users to classify various clothing items as well as find similar type of products based on the user uploads, as well as curating a pre-defined styles section to help users to enhance their fashion taste.

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