System Requirements Document for Pearl-Idea

Introduction

Pearl-Idea is an AI-powered web application designed to serve as an autonomous productivity copilot for students, professionals, freelancers, and entrepreneurs. The application, named "Deadline Guardian AI," aims to proactively assist users in managing tasks, prioritizing activities, predicting risks, and guiding them towards successful task completion using advanced AI capabilities.

System Overview

Deadline Guardian AI is a sophisticated productivity tool that leverages Google Gemini AI to provide a multi-agent system. It is designed to enhance productivity by breaking down tasks into actionable subtasks, prioritizing them, scheduling execution plans, predicting deadline risks, generating recovery plans, and offering personalized productivity coaching. The system is tailored to deliver a seamless user experience through a modern, mobile-responsive interface.

Functional Requirements

• As a User, I should be able to create, edit, and delete tasks.
• As a User, I should be able to set deadlines and estimated effort for tasks.
• As a User, I should be able to view AI-generated task breakdowns.
• As a User, I should receive AI-generated schedules and recommendations.
• As a User, I should be able to view deadline risk predictions.
• As a User, I should have access to recovery plans when tasks fall behind.
• As a User, I should be able to track productivity metrics and progress through a personal dashboard.
• As a User, I should be able to see a visualization of the agent workflow.

User Personas

• Student: Needs assistance in managing academic tasks and deadlines.
• Working Professional: Requires help in balancing work tasks and meeting project deadlines.
• Freelancer: Seeks to efficiently manage multiple client projects and deadlines.
• Entrepreneur: Aims to prioritize and complete business-related tasks effectively.

Core User Flows

1. Task Management Flow:

   • User creates a task -> AI Planner Agent breaks it into subtasks -> User sets deadlines and priorities -> AI Priority Agent ranks tasks -> AI Schedule Agent creates a plan -> User follows the plan.

2. Risk Management Flow:

   • User views task list -> AI Risk Prediction Agent analyzes tasks -> User receives risk predictions and reasons -> AI Recovery Agent suggests catch-up plans if needed.

3. Productivity Enhancement Flow:

   • User starts a task -> AI Productivity Coach Agent provides recommendations -> User completes task -> Dashboard updates with productivity metrics.

Visuals Colors and Theme

• primary: #1A73E8 (a deep blue for a professional and trustworthy feel)
• primary_light: #E8F0FE (a light blue for hover states and secondary UI)
• secondary: #FF6F61 (a coral hue for emphasis and links)
• accent: #FFD700 (a vibrant gold for CTAs and active states)
• highlight: #FFA500 (an orange for hover states and notifications)
• bg: #FFFFFF (a clean white background)
• surface: rgba(240, 240, 240, 0.8) (a light grey for cards and panels)
• text: #202124 (a dark grey for primary text)
• text_muted: #5F6368 (a softer grey for secondary text)
• border: rgba(218, 220, 224, 0.2) (a subtle grey for borders)

Signature Design Concept

The homepage of Pearl-Idea will feature an interactive "Task Galaxy" concept. Users will navigate through a 3D galaxy where each star represents a task. Clicking on a star opens a task card with details and AI-generated insights. Users can drag to rotate the galaxy, and hovering over stars highlights connections between related tasks. This immersive experience will be built using @react-three/fiber and @react-three/drei for 3D interactions, providing a unique and engaging way to visualize task management.

Interaction Model & Motion Direction

The landing page will utilize a "parallax" interaction model, creating a layered depth effect as users scroll. Decorative elements like stars and task connections will move at different speeds, enhancing the storytelling aspect. Internal pages will adopt a "static" model for clarity and ease of use, focusing on task details and productivity metrics.

Non-Functional Requirements

• The application must be highly responsive and perform well on both desktop and mobile devices.
• It should handle errors gracefully and provide informative feedback to users.
• The design should be scalable to accommodate future features and user growth.

Tech Stack

• Frontend: React for Web
• Backend: Python with FastAPI
• Database: MySQL or MariaDB
• AI Models: Google Gemini for AI capabilities
• AI Tools: Langchain for LLM Routing
• Orchestration: Docker and Kubernetes for deployment

Assumptions and Constraints

• The application will primarily serve users in India, considering local time zones and currency formats.
• All users will have equal capabilities, focusing on individual productivity without role-based access control.
• The MVP will prioritize features that demonstrate strong AI reasoning and decision-making.

Glossary

• AI Agent: A software entity that performs specific tasks autonomously using AI.
• Gemini API: An AI engine by Google used for task decomposition, scheduling, and other AI functionalities.
• MVP: Minimum Viable Product, the initial version of the application with core features.

This document outlines the comprehensive requirements for Pearl-Idea, ensuring it meets the project's goals and delivers an innovative, AI-driven productivity solution.