Multimodal AI · 2026

AI Digital Human Platform

A real-time multimodal AI digital-human platform powered by Unreal Engine, NVIDIA Audio2Face and LLM orchestration.

  • Unreal Engine 5.6
  • NVIDIA Audio2Face
  • Python
  • FastAPI
  • C++
  • WebSockets
  • OpenAI
Project overview

A digital-human system combining speech recognition, large language models, text-to-speech and real-time facial animation for near-human conversations.

  • Real-timeConversation mode
  • MultimodalAI modalities
  • UE 5.6Rendering engine
  • Low latencyCommunication layer
AI features

What it does.

  1. 01Real-time AI-driven facial animation
  2. 02Speech-to-text and text-to-speech orchestration
  3. 03Multimodal conversational intelligence
  4. 04Low-latency communication pipelines
Product screens

The product, as built.

Real screenshots from the project. Select any image to enlarge it.

Technology stack

How the stack fits together.

The technologies actually used in the project, grouped by their layer in the system.

  1. Experience & channels

    • Unreal Engine 5.6
    • NVIDIA Audio2Face
  2. Backend & orchestration

    • Python
    • FastAPI
    • C++
    • WebSockets
  3. AI & reasoning

    • OpenAI
Impact

What it changed.

Key outcomes

  • Enabled lifelike AI-driven human interaction experiences.
  • Reduced latency across multimodal AI communication pipelines.
  • Created scalable architecture for digital human deployments.
  • Integrated speech, animation and reasoning into one orchestration layer.

Engineering challenges solved

  • Synchronising speech and facial animation in real time
  • Maintaining low-latency conversational flows
  • Managing multimodal orchestration pipelines
  • Integrating Unreal Engine with AI backend services

What could come next

  • Emotionally expressive avatars
  • Enterprise AI receptionist systems
  • VR/AR digital human experiences
  • Persistent AI personality systems
Your next build

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Your next project

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