MachineAvatars Documentation¶

Welcome to the comprehensive documentation for MachineAvatars, the AI-powered conversational platform by AskGalore Digital India Pvt. Ltd.

🎯 What is MachineAvatars?¶

MachineAvatars is an AI-first conversational platform featuring:

• 🤖 3D Avatar Chatbots - Lifelike virtual assistants with realistic animations
• 💬 Text Chatbots - Intelligent text-based conversations
• 🎤 Voice Chatbots - Natural voice interactions with speech recognition
• 🧠 Advanced AI - RAG-powered knowledge retrieval and contextual understanding
• 📊 Enterprise Features - Analytics, security, and scalability

📚 Documentation Sections¶

For Executives & Investors¶

• Executive Summary - Vision, market, and business model
• Business Documentation - Revenue, growth, and financials

For Technical Auditors¶

• System Architecture - Complete technical architecture
• AI/ML Architecture - AI systems and decision rationale
• Security - Security and compliance
• Architecture Decision Records - Key technical decisions

For Engineers & Developers¶

• Technical Specification - All 20+ microservices
• API Documentation - API reference
• Deployment & Operations - CI/CD and operations

For End Users¶

• User Documentation - Guides and tutorials

🏗️ Architecture at a Glance¶

graph TB
    subgraph "User Layer"
        WEB[Web Application]
    end

    subgraph "API Layer"
        GW[Gateway :8000]
    end

    subgraph "Services"
        AUTH[Auth :8001]
        USER[User :8002]
        CHAT3D[3D Chat :8011]
        CHATTXT[Text Chat :8012]
        CHATVOICE[Voice Chat :8013]
        PAY[Payment :8019]
    end

    subgraph "Data"
        MONGO[(MongoDB)]
        MILVUS[(Milvus Vector DB)]
    end

    WEB --> GW
    GW --> AUTH
    GW --> USER
    GW --> CHAT3D
    GW --> CHATTXT
    GW --> CHATVOICE
    GW --> PAY

    CHAT3D --> MILVUS
    CHAT3D --> MONGO
    AUTH --> MONGO

📖 Documentation Philosophy¶

This documentation follows five core principles:

1. Single Source of Truth (SSOT) - One canonical version, no scattered docs
2. Layered Readability - Serves all audiences from executives to engineers
3. Versioned & Traceable - Every change linked to product decisions
4. Audit-Ready - Prepared for technical and compliance audits
5. Diagram-First - Visual explanations before text

Learn more: Documentation Philosophy

🚀 Quick Links¶

Getting Started¶

• What is MachineAvatars?
• System Architecture
• AI/ML Capabilities

Popular Pages¶

• System Architecture
• Security Overview
• API Reference

💡 Support¶

For Team Members:

• Documentation questions: Slack #documentation
• Technical support: Slack #engineering

For External Users:

• Email: support@machineagents.ai
• Website: https://machineagents.ai

Last Updated: 2025-12-26
Version: 1.0
Status: 🚧 In Development