Arctic-AI System Requirements Document

1. Introduction

This document outlines the system requirements for the Arctic-AI project, a production-grade JARVIS AI Assistant platform. The project aims to deliver a sophisticated AI assistant with advanced features and a futuristic user interface.

2. System Overview

Arctic-AI is designed to be a modular, scalable, and production-ready AI assistant platform. It integrates various AI models, voice capabilities, and a futuristic UI to provide a seamless user experience.

Key Components:

• Frontend: React, TypeScript, Tailwind CSS, Three.js, Electron
• Backend: Python FastAPI, WebSockets, PostgreSQL, Redis
• AI Models: Gemini API, Ollama
• Voice: Speech-to-Text, ElevenLabs Text-to-Speech, Wake word detection
• Features: AI Chat, Voice Assistant, Internet Search, File Explorer, Terminal Console, System Monitoring, App Launcher, Memory Management, Multi-Agent Architecture, Vision AI, Face Recognition, Gesture Control

3. Functional Requirements as Story Points

• As a User, I should be able to interact with the AI through a futuristic holographic dashboard.
• As a User, I should be able to drag and drop windows within the interface.
• As a User, I should experience glassmorphism effects for a modern UI feel.
• As a User, I should be able to use voice commands to interact with the AI.
• As a User, I should be able to perform internet searches through the AI.
• As a User, I should be able to explore files using the AI.
• As a User, I should be able to monitor system performance in real-time.
• As a User, I should be able to launch applications via the AI.
• As a User, I should be able to manage memory and context-aware conversations.
• As a User, I should be able to use gesture control for interactions.
• As a User, I should be able to see real-time widgets and an animated AI core.

4. User Personas

• Admin: Manages system configurations and oversees AI operations.
• User: Interacts with the AI for various tasks like searching, file management, and system monitoring.
• Guest: Limited access to basic AI functionalities.

5. Core User Flows

• User activates AI with wake word -> AI listens for command -> Executes task (e.g., search, file management).
• Admin configures system settings -> Deploys updates -> Monitors system performance.
• User interacts with holographic dashboard -> Drags windows -> Uses voice commands for tasks.

6. Visuals Colors and Theme

Derived from the provided visual reference:

• primary: #FF4500 (Orange)
• primary_light: #FF7F50 (Coral)
• secondary: #2E2E2E (Dark Gray)
• accent: #FFD700 (Gold)
• highlight: #FF6347 (Tomato)
• bg: #1C1C1C (Very Dark Gray)
• surface: #2F4F4F (Dark Slate Gray)
• text: #FFFFFF (White)
• text_muted: #B0C4DE (Light Steel Blue)
• border: #696969 (Dim Gray)

7. Signature Design Concept

Interactive Holographic Core

The landing page will feature an interactive holographic AI core. Users can rotate and zoom into the core, revealing different AI functionalities as they interact. The core will have glowing, animated circuits that respond to user actions, creating a dynamic and engaging experience.

• Animation: Continuous rotation with glowing effects.
• Interaction: Click to zoom, hover to highlight sections.
• Libraries: Three.js for 3D rendering, GSAP for animations.

Landing Hero Motion Brief

The hero section will showcase a rotating holographic AI core. As users interact, the core will transform, highlighting different AI capabilities. The animation will loop every 10 seconds, with a reduced-motion state for accessibility.

8. Interaction Model & Motion Direction

• Interaction Model: Animated
• Motion Direction: Moderate scroll-triggered reveals, hover transitions, and spring physics on interactive elements.

9. Non-Functional Requirements

• Performance: The system must handle multiple concurrent users efficiently.
• Scalability: The architecture should support easy scaling.
• Security: Secure API handling and audit logging are mandatory.

10. Tech Stack

• Frontend: React, TypeScript, Tailwind CSS, Three.js, Electron
• Backend: Python FastAPI, WebSockets
• Database: PostgreSQL, Redis
• AI Models: Gemini API, Ollama
• Voice: ElevenLabs Text-to-Speech

11. Assumptions and Constraints

• The system will operate in a cyberpunk-themed environment.
• The AI models will be updated regularly to improve performance.

12. Glossary

• AI Core: The central component of the AI system.
• Glassmorphism: A design style that uses transparency and blur effects.
• Holographic Dashboard: A futuristic user interface with 3D elements.