[EPIC] Minimum Viable Product

[mnichols08]

Feature Description
In order to finish off the project, some the app must meet a certain criteria.

Major User Stories/tasks

Acceptance Criteria

• Overview:

  • Develop a single-page application (SPA) or its equivalent to deliver intuitive color recommendation functionality to users.

• Data Capture and Processing

  • Integrate a color picker library or create a custom color palette allowing users to choose color from a predefined palette.
  • Incorporate a mechanism to prompt users for the context in which they intend to use the selected color. Include this context information in the prompt sent to the GroqAI API for more tailored color recommendations.

• API Connectivity and Response Handling

  • Establish connectivity to the GroqAI API for color analysis via provided API key.
  • Send the captured color data and the context to the GroqAI API as part of the prompt.
  • When sending color data to the GroqAI API, include it in the prompt along with a request for color recommendations. Ensure it also requests color codes with their respective names for the recommended colors. Example prompt:
    • "Suggest color recommendations based on the [selected color] and [context]"
    • "Color recommendations [selected color][context], provide color codes and explanation"
    • "Suggest compatible colors based on the [selected color] and [context]. Display color codes and descriptions"
  • Ensure robust error handling for API connectivity, data formatting, and response processing.
  • Retrieve and process the response from the GroqAI API.
  • Capture the color codes and text description provided by the GroqAI API in the response.

• Visual Representation

  • Visualize the response from the GroqAI API using colors and accompanying text.
  • Represent the AI-generated color response in a visually comprehensible manner within the application interface.

• User Experience

  • Ensure the application provides a seamless user experience for color selection, processing, and response visualization.
  • Implement intuitive UI/UX elements to guide users through the color capture and analysis process.

• Responsiveness

  • Ensure the web application is responsive and accessible across various devices and screen sizes. #3
  • Utilize responsive design techniques to adapt to different viewport sizes.

• Data Capture and Processing

  • Users can accurately select color using the integrated color picker library or a custom color palette.
  • The selected color code and context are correctly formatted and included in the prompt sent to the GroqAI API for analysis.

• API Connectivity and Response Handling

  • The application must establish reliable connectivity to the GroqAI API for color analysis.
  • Response handling mechanisms should accurately interpret and extract relevant information from the API response.
  • Error handling must be implemented to gracefully manage any issues encountered during API communication.

• Visual Representation

  • The AI-generated color response should be visually represented in a clear and understandable manner within the application interface, effectively conveying the characteristics and attributes of the analyzed color along with their corresponding text descriptions.

### Extras (Not Required)

• Color Capture and Processing
  • Utilize an integrated library or create a custom color palette for visually representing color recommendation responses.
  • Allow users to select multiple colors for analysis, enabling them to compare and contrast recommendations for different color combinations.
  • Implement a feature that suggests complementary, analogous, or triadic colors based on the user's selected color, helping them create harmonious color schemes.
  • Integrate a tool to simulate how color choices might appear to users with different types of color vision deficiencies, ensuring inclusivity in design decisions.