Welcome to P-E-BO

Your Ultimate Futuristic Desk Companion

Explore Features

Introduction

PEBO is an interactive desk assistant robot that blends emotional engagement, entertainment, task management, and intercommunication features.

Features

User Identification

Recognizes individual users via biometric data for personalized interactions.

AI Voice Response

Advanced natural language processing for contextual command understanding and execution.

Movement Tracking

Spatial awareness with automatic face-tracking for perfect positioning.

Emotion Recognition

Real-time mood analysis through voice tone and facial expression detection.

Affection Response

Responds to petting and gentle touches with happy lights, vibrations, and emotive sounds.

Touch Interaction

Responsive touch sensors with haptic feedback for precise gesture controls.

Solution Architecture

P-E-BO's architecture is designed to seamlessly integrate hardware and software components for optimal performance.

Solution Architecture Diagram

Technology Stack

AWS Rekognition
AWS Rekognition
  • Real-time facial analysis
  • Emotion detection (7 emotions)
  • 95% accuracy in varied lighting
  • Age range estimation
Gemini AI
Gemini API
  • Natural language processing
  • Context-aware responses
  • Multi-turn conversations
  • Knowledge graph integration
Amazon S3
Amazon S3
  • Secure data storage
  • Scalable cloud infrastructure
  • Real-time data syncing
  • 99.9% uptime SLA
Mobile Application
Mobile App Screens
  • Cross-platform (iOS/Android)
  • Real-time notifications
  • Device configuration
  • Usage analytics
Robot Face Interface
Robot Face UI
  • Dynamic eye movements
  • Emotion expressions
  • 60 FPS animation
  • OLED display powered
Servo Control
  • Pan-tilt mechanism
  • PID control system
Raspberry Pi
Raspberry Pi 3
  • Quad-core ARM CPU
  • 1GB RAM
  • Wi-Fi & Bluetooth
  • GPIO for hardware control
Sensors
  • Microphone Array
  • Touch Sensors

Challenges

  • Real-time processing latency
  • Hardware-software integration
  • Multi-modal sensor synchronization

Future Roadmap

  • Advanced ML model integration
  • Cross-platform compatibility
  • Enhanced natural language processing

Budget

P-E-BO's Budget - Maximizing impact while staying within budget!

budget

Meet the Team

Buddhika
Buddhika Ariyarathne

E/20/024

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Yasiru
Yasiru Edirimanna

E/20/089

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Yohan
Yohan Senadheera

E/20/361

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Bhagya
Bhagya Senevirathna

E/20/366

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