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Digikala is a prominent Iranian e-commerce platform offering a wide range of products, from digital devices and mobiles to laptops, books, and clothing. In this project, my focus was on creating a specialized clothing search engine based on exact color preferences and clothing types. The project primarily centers on men's t-shirts and shirts to showcase the functionality of the system.

This project is a part of my portfolio, showcasing my skills. The main code isn't public, but I'm open to collaboration! Interested? Email me at mr.raz2002@gmail.com

Demo:

https://meysamraz-cloth-color-search-digikala-project.streamlit.app/

Demo Heroku version:

Update: Heroku may shutdown free hosting so if this link didnt work use link above.

https://clothing-search-by-color.herokuapp.com/

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Project Preview:

1. Data Collection:

  • Data collection was achieved by extracting data from a hidden API provided by Digikala, a prominent Iranian e-commerce platform. This method was chosen for simplicity and effectiveness.

2. Data Preprocessing:

  • Preprocessing involved several key steps:

    • Dropping null values to ensure data quality.

    • Creating a "Type of Cloth" column to categorize clothing items.

    • Creating a "Color" column to represent the color of each item.

3. Image Color Detection:

  • For image color detection, the K-Means clustering algorithm was employed. A threshold value and specific conditions were applied to accurately identify colors on various clothing items.

4. Front-End Development:

  • The front-end of the project was built using Streamlit, a Python library for creating web applications. Streamlit offers a straightforward approach to web development entirely in Python. However, some limitations were encountered when customizing certain widgets, particularly in the color selection section.

5. Deployment:

  • The project was made accessible online through Heroku, a cloud platform as a service. Heroku provided a flexible hosting solution for deploying the application.

Installation and Execution:

  • To run the project, follow these steps:

    • Install the necessary requirements using pip install -r requirements.txt.

    • Execute the project with streamlit run main.py.

Libraries and Frameworks Used:

  • Streamlit

  • Flask

  • Pandas

  • scikit-learn

  • Heroku

Future Updates:

  • In future iterations of this project, I plan to implement the following enhancements:

    • Expand the clothing categories to provide a more comprehensive search experience.

    • Improve the accuracy and granularity of color detection .

    • Enhance the user interface and interactivity to address Streamlit's limitations.

    • Explore advanced image analysis techniques to extract more detailed clothing attributes.

Project Protection:

To protect the project's integrity, the code and dataframes are not shared on this public GitHub repository. If you'd like more information or have questions, please feel free to contact me via email. I'm always happy to discuss the project in more detail and collaborate on potential opportunities.