System Requirements Document (SRD)

Project Name: teal-picture

1. Introduction

The teal-picture project is a mobile application designed to assist users in counting the pips (dots) on dominoes using image recognition technology. This app was inspired by Donnie Kettenring's personal need for a tool to simplify the process of counting domino pips due to vision challenges. The app aims to provide a seamless, accessible, and engaging experience by leveraging AI to detect multiple dominoes in a single image, count their pips, and display the results alongside AI-generated images of the dominoes.

This document outlines the system requirements for the teal-picture project, including functional and non-functional requirements, user personas, design concepts, and technical specifications.

2. System Overview

The teal-picture app will utilize advanced image recognition and AI technologies to:

• Detect multiple dominoes in a single image.
• Count the pips on each domino individually.
• Display the counts visually alongside AI-rendered images of the dominoes.
• Save the counts and AI-rendered images to a history for later review.

The app is designed with accessibility and ease of use in mind, ensuring that users like Donnie can effortlessly interact with the system. The app will be available for mobile platforms and will prioritize a user-friendly interface with clear visuals and intuitive navigation.

3. Functional Requirements

• As a User, I should be able to take a picture of multiple dominoes.
• As a User, I should be able to see the pip count for each domino detected in the image.
• As a User, I should be able to view an AI-rendered image of each domino alongside its pip count.
• As a User, I should be able to save the pip counts and AI-rendered images to a history.
• As a User, I should be able to review the history of saved pip counts and AI-rendered images.

4. User Personas

4.1 Primary User:

Name: Donnie Kettenring
Age: 60+
Location: United States
Needs:

• A simple and accessible way to count domino pips due to vision challenges.
• A clear and visually engaging interface.
• The ability to save and review pip counts for convenience.

4.2 Secondary Users:

Casual Domino Players

• Individuals who play dominoes recreationally and want a quick way to count pips.

Competitive Domino Players

• Players who need an efficient tool to count pips during games or practice sessions.

Educators and Students

• Teachers and learners using dominoes as a teaching tool for math or pattern recognition.

5. Visuals Colors and Theme

The teal-picture app will feature a unique and visually appealing color palette that reflects its playful yet functional purpose.

Color Palette:

• Background: #F0F8FF (Alice Blue)
• Surface: #D1E8E2 (Mint Green)
• Text: #2C3E50 (Dark Slate Blue)
• Accent: #FF6F61 (Coral Red)
• Muted Tones: #B0C4DE (Light Steel Blue)

This palette ensures high contrast for readability and a soothing aesthetic that aligns with the app's accessibility goals.

6. Signature Design Concept

The teal-picture app will feature a "Domino Universe" Landing Page as its signature design concept.

Concept Details:

• Interactive Domino Galaxy: The homepage will display a 3D interactive galaxy where each star represents a domino. Users can tap on a star to see its pip count and AI-rendered image.
• Dynamic Animations: As users navigate the galaxy, stars will pulse and connect with glowing lines, creating a visually stunning experience.
• AI-Generated Domino Showcase: A rotating carousel on the homepage will display AI-rendered images of recently counted dominoes, adding a personalized touch.
• Micro-Interactions: Subtle animations, such as a sparkle effect when a domino is selected, will enhance user engagement.
• Color Transitions: The background will shift between shades of the color palette, creating a calming and immersive atmosphere.

This design concept ensures that the app makes a memorable first impression while maintaining its functional focus.

7. Non-Functional Requirements

• The app must process images and count pips within 2 seconds for a seamless user experience.
• The app must support accessibility features, including voice-over for pip counts.
• The app must store at least 1,000 history entries without performance degradation.
• The app must function on both iOS and Android platforms.
• The app must comply with US accessibility standards (e.g., ADA compliance).

8. Tech Stack

Frontend:

• React Native for mobile app development.

Backend:

• Python with FastAPI for API development.

Database:

• MySQL for storing history data (pip counts and AI-rendered images).

AI Models:

• Google Nano Banana for AI image generation.
• GPT 5.4 for user-friendly responses and pip count validation.

AI Tools:

• Litellm for LLM routing.
• Langchain for AI workflow orchestration.

Orchestration:

• Docker and docker-compose for local development.
• Kubernetes for server-side orchestration.

9. Assumptions and Constraints

• The app assumes users will have access to a smartphone with a functional camera.
• The app assumes users will have an internet connection for AI image generation and history synchronization.
• The app is constrained by the processing power of mobile devices, requiring optimized AI models.
• The app will initially support English as the primary language.

10. Glossary

• Pip: The dots on a domino used to represent its value.
• AI-Rendered Image: An image generated by artificial intelligence to visually replicate a detected domino.
• History: A saved record of pip counts and AI-rendered images for user review.
• Accessibility: Features designed to make the app usable for individuals with disabilities or impairments.

This document captures the full scope and vision for the teal-picture project. Donnie, your idea is both innovative and practical, and this SRD ensures that the app will meet your needs while delivering a delightful user experience. Let me know if there’s anything else you’d like to adjust or expand upon!