System Requirements Document (SRD)

1. Introduction

This document outlines the requirements for an AI-powered to-do application. The application is designed to provide users with a minimalist and vivid interface for managing tasks. It leverages AI to automatically sort tasks based on their titles using zero-shot learning. The app aims to simplify task management while maintaining a clean and user-friendly design.

2. System Overview

The AI-powered to-do app is a task management tool that allows users to add, view, and organize tasks. The app features a minimalist design with vivid minimal colors, ensuring a visually appealing yet simple user experience. Each task is displayed as a single line with a checkbox for completion. Users can add new tasks using a one-line input section at the bottom of the task list. The AI component automatically sorts tasks based on their titles using zero-shot learning, providing intelligent task organization without requiring prior training data.

3. Functional Requirements as Story Points

• As User I should be able to add a new task using a one-line input section at the bottom of the task list.
• As User I should be able to view all tasks in a single-line format with a checkbox for each task.
• As User I should be able to mark tasks as completed using the checkbox.
• As User I should be able to see tasks automatically sorted based on their titles using AI with zero-shot learning.
• As User I should be able to interact with a minimalist and vivid UI design.

4. User Personas

1. User

• Description: A general user who wants to manage their tasks efficiently using a simple and intuitive interface.
• Goals: Add, view, and organize tasks with minimal effort. Benefit from AI-powered sorting to keep tasks organized.
• Pain Points: Overwhelmed by complex task management apps, prefers simplicity and automation.

5. Visuals Colors and Theme

The app will feature a minimalist design with vivid minimal colors. The proposed color scheme includes:

• Background: White or light gray for a clean and uncluttered look.
• Primary Accent Color: Vivid blue or teal for actionable elements like buttons and checkboxes.
• Secondary Accent Color: Vivid orange or yellow for highlights or notifications.
• Text Color: Black or dark gray for readability.
• Checkbox Color: Green for completed tasks and gray for pending tasks.

The design will focus on simplicity, with clear typography and minimal use of decorative elements.

6. Non-Functional Requirements

• The application must load tasks and sort them within 1 second of adding a new task.
• The AI sorting mechanism must operate with zero-shot learning and provide accurate sorting results.
• The UI must be responsive and work seamlessly across web and mobile platforms.
• The app must ensure data security and privacy for user tasks.
• The app must be scalable to handle up to 10,000 tasks per user.

7. Tech Stack

Frontend

• React for Web
• React Native for mobile app

Backend

• Python
• FastAPI

Database RDBMS

• MySQL or MariaDB, using Alembic for migrations

AI Models

• GPT 5.2 for user-friendly task sorting with zero-shot learning

AI Tools

• Litellm for LLM Routing
• Langchain for AI integration

Local Orchestration

• Docker
• docker-compose

Server-Side Orchestration

• Kubernetes

8. Assumptions and Constraints

Assumptions

• Users will primarily use the app for personal task management.
• The AI sorting mechanism will work effectively with zero-shot learning without requiring additional training data.
• The app will be used on both web and mobile platforms.

Constraints

• The design must remain minimalist and vivid, avoiding clutter or overly complex UI elements.
• The AI sorting must operate within the constraints of zero-shot learning, relying solely on task titles for sorting.
• The app must adhere to data privacy regulations and ensure secure storage of user tasks.

9. Glossary

• Zero-Shot Learning: A machine learning technique where the model can make predictions for tasks it has not been explicitly trained on.
• Minimalist Design: A design approach that emphasizes simplicity, using minimal elements and focusing on functionality.
• Task Sorting: The process of organizing tasks based on specific criteria, in this case, task titles.
• LLM Routing: A method for directing queries to the appropriate large language model for processing.
• Responsive Design: A design approach ensuring the app works seamlessly across different devices and screen sizes.

This document provides a comprehensive overview of the requirements for the AI-powered to-do app, ensuring clarity and alignment with the user's vision.