System Requirements Document (SRD)

1. Introduction

This document outlines the system requirements for the development of an AI-powered to-do application. The purpose of this document is to define the functional and non-functional requirements, user personas, technical stack, assumptions, and constraints necessary for the successful implementation of the system. The application will leverage advanced AI capabilities to sort tasks based on their content using zero-shot knowledge and will feature a minimalist yet vivid design.

2. System Overview

The AI-powered to-do application will provide users with an intuitive and efficient way to manage tasks. The system will use AI to automatically sort tasks based on their titles and content, utilizing zero-shot knowledge for intelligent categorization. The application will feature a minimalist design with vivid accents, ensuring simplicity and ease of use. Users will interact with the application through a streamlined interface that includes task titles, checkboxes, and a single-line input section for adding new tasks.

3. Functional Requirements as Story Points

• As User I should be able to add tasks using a single-line input section.
• As User I should be able to view tasks displayed as one task per line with a checkbox and task title.
• As User I should be able to mark tasks as complete using checkboxes.
• As User I should be able to see tasks automatically sorted by AI based on task content using zero-shot knowledge.
• As User I should be able to interact with a minimalist and vivid design interface.

4. User Personas

4.1 User

The primary user of the application who interacts with the to-do app to manage tasks efficiently. This persona values simplicity, automation, and a visually appealing interface.

4.2 Admin

The administrator responsible for monitoring system performance, managing AI configurations, and ensuring the smooth operation of the application.

5. Non-Functional Requirements

• The system should respond to user actions, including task sorting, within 1 second.
• The application should support high scalability to handle up to 100,000 concurrent users.
• The system should ensure data security and privacy, adhering to GDPR and other relevant regulations.
• The application should be compatible with both web and mobile platforms.
• The system should be designed for high availability with a minimum uptime of 99.9%.
• The application should feature a minimalist design with vivid accents, ensuring ease of use and visual appeal.

6. Tech Stack

Frontend

• React for Web
• React Native for Mobile App

Backend

• Python
• FastAPI

Database RDBMS

• MySQL, using Alembic for migrations

AI Models

• GPT 5.2 for intelligent task sorting using zero-shot knowledge

AI Tools

• Litellm for LLM Routing
• Langchain

Local Orchestration

• Docker
• docker-compose

Server-side Orchestration

• Kubernetes

7. Assumptions and Constraints

• The application will primarily target English-speaking users but will include multilingual support for global accessibility.
• The system will require internet connectivity to function.
• The AI models will be hosted on cloud infrastructure to ensure scalability and performance.
• The application will be developed within a timeline of 4 months.
• Budget constraints will be considered during the selection of cloud services and AI tools.
• The design will prioritize simplicity and vividness, avoiding complex UI elements.

8. Glossary

• AI (Artificial Intelligence): The simulation of human intelligence processes by machines, especially computer systems.
• Zero-shot Knowledge: The ability of AI models to perform tasks without prior specific training on those tasks.
• GDPR (General Data Protection Regulation): A regulation in EU law on data protection and privacy.
• LLM (Large Language Model): Advanced AI models designed to understand and generate human-like text.
• Docker: A platform for developing, shipping, and running applications in containers.
• Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.
• Minimalist Design: A design philosophy that emphasizes simplicity and the use of minimal elements for functionality and aesthetics.

This updated document incorporates the requirement to develop an AI-powered to-do application, including functional and non-functional requirements, user personas, and the preferred tech stack. The application will feature AI-based task sorting using zero-shot knowledge and a minimalist, vivid design.