🔧 Technical Specifications

📱 System Requirements

Minimum Requirements

• OS: Android 7.0 (API level 24) or higher
• RAM: 2 GB
• Storage: 50 MB free space
• Processor: ARM64 or x86_64
• Internet: Wi-Fi or mobile data

Recommended Requirements

• OS: Android 10.0 or higher
• RAM: 4 GB
• Storage: 100 MB free space
• Processor: Snapdragon 660+ or equivalent
• Camera: 8 MP or higher for optimal AR

🛠️ App Architecture

Main Components

📦 MalO ver1.0.0
├── 🧠 AI Engine (TensorFlow Lite)
├── 📸 AR Module (ARCore)
├── 💬 Messaging System
├── 🔐 Encryption Module
├── 📊 Behavior Analytics
└── 🔄 Cloud Sync

Technologies Used

• Frontend: Kotlin + Jetpack Compose
• AI: TensorFlow Lite, Foundation's custom models
• AR: ARCore, OpenCV
• Network: Retrofit, OkHttp
• Database: Room (SQLite)
• Security: AES-256, RSA-2048

📡 Network Interaction

API Endpoints

🌐 Base URL: https://api.scp-foundation.org/malo/v1/

POST /auth/login          - Authentication
GET  /messages/sync       - Message sync
POST /photos/upload       - Photo upload
GET  /ai/personality      - Get AI personality
POST /analytics/behavior  - Send behavior analytics

Security Protocols

• TLS 1.3 for all connections
• Certificate Pinning to prevent MITM
• Mutual authentication with Foundation servers
• End-to-end encryption of personal data

🧠 AI and Machine Learning

AI Models

1. Language Model: 120M parameters

   • Trained on SCP Foundation data
   • Specialization: emotional support
   • Languages: English, Russian, Japanese

2. Behavior Model: 45M parameters

   • Analyzes user patterns
   • Mood prediction
   • Adapts communication style

3. AR Model: 15M parameters

   • Places MalO in space
   • Motion tracking
   • Realistic lighting

Local Processing

• 95% of computations are performed locally
• 5% – sync with Foundation cloud services
• Offline mode: Up to 7 days of autonomous operation

📊 Performance and Optimization

Resource Consumption

💾 Memory usage:
├── Base: ~150 MB
├── With AR active: ~300 MB
├── Peak: ~450 MB
└── In background: ~50 MB

🔋 Power consumption:
├── Active use: ~8% per hour
├── Background: ~2% per day
├── AR mode: ~15% per hour
└── Sleep mode: ~0.1% per day

Optimizations

• Adaptive AR quality based on performance
• Lazy loading of AI resources
• Caching of frequent requests
• Batch processing of analytics data

🔒 Security and Privacy

Local Storage

-- Database structure (AES-256 encrypted)
TABLE messages (
    id INTEGER PRIMARY KEY,
    content TEXT ENCRYPTED,
    timestamp INTEGER,
    sender TEXT
);

TABLE photos (
    id INTEGER PRIMARY KEY,
    path TEXT,
    metadata TEXT ENCRYPTED,
    malo_present BOOLEAN
);

TABLE user_profile (
    key TEXT PRIMARY KEY,
    value TEXT ENCRYPTED
);

Transmitted Data

• Message metadata (time, frequency)
• Usage analytics (anonymous)
• Technical logs (no personal data)
• Sync tokens

❌ NOT transmitted:

• Message content
• User photos
• Personal information
• Geolocation (without permission)

🔄 Updates and Versioning

Update System

• Automatic: Critical security fixes
• Optional: New features and improvements
• Modular: Update individual components
• Rollback: Ability to revert to previous version

AI Model Versions

v1.0.0 - Base MalO personality
v1.1.0 - Improved emotion recognition
v1.2.0 - Expanded vocabulary
v1.3.0 - Contextual dialogue support

📈 Monitoring and Analytics

Performance Metrics

• AI response time: < 500ms
• AR tracking accuracy: 98.7%
• App stability: 99.2%
• User satisfaction: 4.6/5.0

Telemetry System

// Example of collected metrics (anonymous)
{
  "session_duration": 1847, // seconds
  "messages_sent": 12,
  "ar_usage_time": 340,
  "crash_reports": 0,
  "device_info": {
    "android_version": "11",
    "manufacturer": "Samsung",
    "model": "[HASHED]"
  }
}

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🔮 Technical Roadmap

Version 1.1.0 (Q1 2025)

• Support for ARCore Depth API
• Optimization for Android 15
• Voice engine for MalO
• Improved battery optimization

Version 1.2.0 (Q2 2025)

• Federated AI learning
• Vulkan API graphics support
• Multilingual interface
• Accessibility improvements

Long-term Goals

• Port to iOS (pending Foundation approval)
• VR/AR glasses compatibility
• Quantum encryption for communications
• Integration with IoT devices