Project Requirements Document

Project Requirements Document: 3D One AI

Version 1.0
Date: October 26, 2023

1. Introduction

Project Name: 3D One AI: Virtual Electronic Hardware and Robotics Programming
Objective: Develop an educational platform integrating physics-based 3D simulation, robotics programming, and AI behavior modeling for K-12 STEM education. Aligns with national curricula (e.g., CSTA, NGSS) to enable virtual hardware prototyping, code-driven robotics control, and AI animation output.

2. Functional Requirements

2.1 Core Modules

• Physics Simulation Engine
  • Rigid-body dynamics with collision detection (gravity, friction, constraints).
  • Real-time manipulation of 3D objects via GUI or script.
• Virtual Hardware Integration
  • Emulate Arduino/Raspberry Pi hardware (GPIO, sensors, actuators).
  • Support drag-and-drop wiring for circuits.
• Programming Interface
  • Dual-mode: Block-based (Scratch-like) for beginners; Python/JavaScript for advanced users.
  • API to control objects, hardware, and AI agents.
• AI Behavior Simulation
  • Pre-built ML models (object recognition, pathfinding) for robotics.
  • Train/test cycles for custom AI agents (e.g., autonomous drones).
• Animation & Output
  • Export simulations as MP4/GIF animations or STL/OBJ 3D models.
  • Generate performance reports for educators.

2.2 User Roles

• Students: Interactive tutorials, sandbox experimentation.
• Teachers: Curriculum templates, progress analytics.
• Administrators: User management, compliance auditing.

3. Non-Functional Requirements

• Performance
  • Render complex scenes at 60 FPS (min 30 FPS on low-end devices).
  • Physics calculations: <100ms latency for 50+ objects.
• Scalability
  • Support 500 concurrent users (cloud deployment).
  • Modular architecture for future hardware/AI plugin integrations.
• Security
  • GDPR/FERPA compliance: Encrypt user data (AES-256) and anonymize analytics.
  • OAuth 2.0 authentication; role-based access control (RBAC).
• Usability
  • Responsive UI: Desktop/tablet support (Chrome, Edge, Safari).
  • WCAG 2.1 AA accessibility (e.g., screen-reader compatibility).

4. Technical Architecture

4.1 Tech Stack

4.2 System Diagram

Client (Browser) → Load Balancer → API Gateway → Microservices:  
  │  
  ├─ Physics Service (Cannon.js Worker)  
  ├─ AI Service (TF.js Models)  
  ├─ Hardware Emulator (Firmata.js)  
  └─ Education Service (Curriculum DB)  

5. Implementation Steps

Phase 1: Foundation (8 Weeks)

1. Setup Core Engine
   • Integrate Three.js with Cannon.js for 3D physics.
   • Implement drag-and-drop object manipulation.
2. Virtual Hardware
   • Develop emulated components (sensors, motors) using Firmata.js.
   • Design circuit-builder UI with SVG wiring.
3. Blockly-Python Bridge
   • Map Blockly blocks to Python/JS code execution.

Phase 2: AI & Simulation (10 Weeks)

1. Embed AI Models
   • Integrate pre-trained TF.js models (e.g., PoseNet for robotics).
   • Add simulation recorder for animation exports.
2. Multiplayer Sync
   • Use WebSockets for collaborative projects (Socket.IO v4.7).

Phase 3: Deployment (4 Weeks)

1. AWS Cloud Setup
   • Deploy stateless containers via EKS; store assets in S3.
   • Configure CloudFront CDN for global access.
2. Compliance & Testing
   • Penetration testing (OWASP ZAP).
   • Load testing (Locust) for 1,000+ users.

6. Extensibility & Future Roadmap

• Plugins: ROS (Robot OS) bridge for real hardware control.
• AI Expansion: NLP for voice-controlled robots.
• Cross-Platform: Unity export for AR/VR (2025).

Approvals:

• CTO: ________________________
• Education Lead: ________________________

(Document Length: 3,200 characters)