Development of an API for working with a color palette
Create an API that will process and output data about colors, support searching through the color palette, and integrate with websites and Shopify. The API must be scalable and support working with large volumes of data (for example, 4000 colors). It is important to provide a user-friendly interface that includes search and filters.
- Flask (Python)
- PostgreSQL
- HTML/CSS/JavaScript
- Git
Main requirements:
Creating and setting up the API:
- Implement a RESTful API using Flask.
- Integration with PostgreSQL for storing and managing color data.
- Implementation of routes for searching colors by name, HEX code, and other parameters.
Processing and working with colors:
- Using OpenCV and NumPy for converting and analyzing colors in various color spaces (for example, LAB).
- Implementation of logic for determining the color category (for example, black, brown) and further sorting (if necessary).
User interface:
- Creating a responsive web interface using HTML, CSS, JavaScript.
- Implementation of search, filtering, and pagination for convenient user interaction.
- Support for displaying up to 4000 colors with search and filtering capabilities.
Integration with Shopify and other websites:
- Ensure API compatibility with the Shopify platform and any other websites.
- Preparation of documentation and usage examples for API integration.
Hosting:
- Setting up and deploying the API and database on the server.
Programmer tasks:
- Development and testing of the API.
- Setting up and managing the PostgreSQL database.
- Integration with external systems and platforms, including Shopify.
- Creating and styling the user interface for working with colors.
Example palette: https://www.benjaminmoore.com/en-us/product/aura-interior-paint-eggshell-1-gallon-dixon-brown-cw-160/N524/ZWB100000001877830
Applications 1
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