Unreal Engine 5 AI Conversational MetaHuman Integration

@AwaisChaudhry

Hello, I will wire Unreal Engine 5 to your AI pipeline so your MetaHuman can hold real conversations in real time. I’ll focus on clean C++ and Blueprint integration, robust async handling, and a natural lip-sync loop that aligns with TTS output and LLM responses. The result will be a responsive character that understands text or voice input, queries the LLM, streams audio from TTS, and drives meta-human blend shapes for convincing lip sync and idle behavior. Approach: set up HTTP calls to the LLM API with proper session history and error recovery; connect TTS to Unreal audio components with streaming audio; integrate OVR Lip Sync or NVIDIA Audio2Face for facial animation; build a reusable UE5 module (C++ + Blueprints) with clear data flow, profiling hooks, and a sample Windows demo. I will document the handoff and provide the full source and a tested asset pack. 8-10 important technical questions to clarify project scope and constraints: How do you want to handle latency between LLM, TTS, and lip-sync in worst-case networks? Which LLM service (Claude vs OpenAI) is preferred for cost and rate limits, and do you require per-user conversation history persistence? What sampling rate and latency targets for lip-sync and TTS audio quality do you expect? Do you require VR/OpenXR support or is desktop-only sufficient for this phase? Which Unreal plugins must be supported (MetaHuman, Lip Sync, Audio2Face) and versions? Are you targeting streaming audio from TTS or pre-buffere

@AITSoft

Hello, I understand you want a real-time, AI-powered MetaHuman in Unreal Engine 5 that handles user input (text or voice), sends it to an LLM, feeds the response to a TTS service, and animates lip sync live. I’ll wire the entire pipeline in C++ and Blueprints, ensure clean async timing between LLM, TTS, and lip-sync, and provide a polished, responsive character with idle behavior and smooth transitions. The plan is to implement a robust HTTP integration with proper JSON parsing and conversation history, integrate a streaming or low-latency TTS path, and drive facial animation with OVR Lip Sync or NVIDIA Audio2Face while keeping MetaHuman blend shapes in sync with audio, all inside UE5. I’ll set up a reusable module with clear interfaces, add profiling hooks (Unreal Insights), and deliver a Windows demo build with source code and handoff docs. The project will be split into discovery, core integration, performance tuning, and delivery milestones, with documentation on how to extend or swap LLM/TTS services. What is the single most important latency target you want to achieve between user input and visible response, and do you prefer any fallback behavior when latency spikes? Looking forward to aligning on your latency targets, error handling for network drops, and how you want to balance realism vs. responsiveness in conversations. I will ensure thorough testing across input methods, lip-sync accuracy, and system stability in a single, maintainable codebase. Best regards,

@sunainawbst

✅Unreal Engine | Unity Game Developer | Sports Simulators | 2D & 3D Games | Cross-Platform ✅ Hi, I’m a dedicated unreal engine developer bringing lots of experience in developing, and launching both 2D and 3D games across mobile, desktop, and web platforms. Due to NDAs, links aren’t public—but once you open the chat, I’ll share live demos and walkthroughs. Why should you choose me : 6+ years of experience in Unity game development Full-time availability as well as daily updates and open to long-term engagements PS - Please pan the budget for now. Thanks, Srishti

@VianRey1

When your AI character’s voice feels out of sync or delayed, all the technical effort behind the scenes gets overshadowed by a jarring, unnatural experience. It’s especially tough when each stage—LLM response, TTS, and lip sync—runs on its own clock, making the MetaHuman seem robotic instead of truly conversational. You’ll see your MetaHuman respond naturally and in real time, with fluid facial animation and voice perfectly matched, all inside Unreal Engine 5. I’ll connect your LLM and TTS via robust HTTP integration, then stream the audio into Unreal’s system. Next, I’ll drive blend shapes and animation using OVR Lip Sync or NVIDIA Audio2Face for seamless expression. Finally, I’ll ensure the character transitions smoothly between idle and speech, wrapping it all into a ready-to-use Windows demo with full documentation. How are you currently tracking or debugging timing issues between your stages?

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with Unreal Engine 5 AI Conversational MetaHuman Integration I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statistical programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@juanjosec63

Hi, I have 9 years experience in Unreal Engine 5, C++ (Unreal), Blueprints, API integration, real-time systems, and AI-driven character pipelines. For this project, I will integrate the full LLM → TTS → lip-sync pipeline inside UE5 using FHttpModule for API calls, stream audio into Unreal, and drive MetaHuman facial animation via OVR Lip Sync or Audio2Face, with smooth state transitions and low-latency async handling. You can expect clear communication, fast turnaround, and a high-quality result. I’ve worked on real-time API integrations in Unreal and will structure the pipeline with buffering, async callbacks, and fallback handling to keep responses natural and responsive. Best regards, Juan

@antonk52

With my name being Anton, I am an Unreal Engine veteran who's had the privilege of working on jaw-droppingly realistic and functional gaming projects. Your Unreal Engine 5 project involving MetaHuman, LLM, lip sync, and conversational AI is right up my alley. Having worked extensively with C++, Blueprints, REST APIs, JSON parsing, OVR Lip Sync, and Animation Blueprint to name a few; I have solid experience in implementing the very components your project demands. Most relevantly, I've previously integrated various APIs and AI models into Unreal Engine games. This experience will be invaluable for this project\\\\'s integration of LLM and TTS pipeline as well as the real-time lip sync mechanism. Also, dealing adeptly with asynchronous tasks is almost second nature to me given my prior works encapsulated similar challenges. Regarding latency management between LLM, TTS, and lip sync stages, I propose an approach that utilizes Unreal Insights for meticulous profiling and performance optimization. Lastly, as a conscientious developer, I understand the importance of clear technical documentation. A smooth handoff process necessitates quality source code combined with comprehensible technical materials. You can count on me to deliver meticulously-commented code and thorough technical documentation along with the packaged Windows demo build you require. Let's bring this awe-inspiring AI-driven conversational Metahuman to life!

@mahads31

Coming from a strong background in web and software development, I have cultivated an expertise that is not only comprehensive but also adaptive. Your project revolves around intricate integration involving multiple specialized skills, such as Unreal Engine 5, C++, Blueprinting, API Integration and more – all areas that I am exceptionally well-versed in. Delivering solutions that are scalable and future-ready cemented my capabilities of handling complex projects. Additionally, my experience with integrating API-powered systems inside game engines gives me a clear understanding of the responsibility your project entails. From coding the HTTP integrations to JSON parsing and timeline management, I send you the assurance that every aspect of integration will be handled meticulously. Combining MetaHuman Plugin, OVR Lip Sync and my animation blueprinting proficiencies, I will create a convincingly lifelike conversational character that seamlessly responds to user interactions. In terms of managing latency between stages, I believe in a proactive approach with close attention to performance profiling. Using tools like Unreal Insights and my adeptness at leveraging Async/Callbacks methodology for efficient handling of processes, I intend to minimize latency issues ensuring smooth communication between the LLM-API, TTS service and Lip sync animator.

@tonyc00

Hi, this is a strong fit for my background—I’ve worked with Unreal Engine 5 (C++ + Blueprints) and built real-time pipelines integrating external APIs, including LLM and TTS systems. I can cleanly wire the LLM → TTS → lip sync flow using async patterns, stream audio into Unreal, and drive MetaHuman blend shapes via OVR Lip Sync or Audio2Face for natural, low-latency conversations. My approach focuses on minimizing latency with parallel processing (pre-buffering TTS, streaming playback, and tight callback handling) while keeping the character responsive and lifelike. I can deliver a polished Windows demo with full source code, profiling insights, and clear handoff documentation within your timeline. Best regards, Tony

@sadaqatzia

Hey , I just finished reading the job description and I see you're looking for someone experienced in API Integration, OpenGL, Technical Documentation, C++ Programming, Large Language Model, Unity 3D and Game Development. This is exactly what I specialize in. I’ve worked on various AI projects, including NLP, Multi-Agent systems, Computer vision, AI Automation, Agentic AI, Fine-Tuning, LLMs, and Predictive Analytics. My solutions have helped businesses automate workflows, reduce errors, and make smarter decisions using data-driven models. A few quick questions before we proceed: 1- Are these all the requirements, or do you have a detailed scope? 2- Are we starting from scratc,h or is there existing work to build upon? Why Choose Me? 1- Successfully delivered 100+ AI projects for global clients 2- My AI systems have improved business efficiency by up to 50% 3- Deep expertise in OpenAI, Python, TensorFlow, NLP, and automation Let’s connect and discuss how I can bring smart AI solutions to your project. Regards, Sadaqat Zia

@sjohn117

Hi, I'm Sean, a Full-Stack Developer with over 7 years of experience in Unreal Engine 5, C++, and AI integrations. I have successfully built real-time AI applications that seamlessly connect user inputs to complex backend systems, significantly enhancing user interactions. Given your project's requirements for integrating MetaHuman with LLM and TTS, I can streamline the communication between these components in Unreal Engine by utilizing C++ and Blueprints effectively. I can do this project perfectly, ensuring real-time lip sync and fluid character responsiveness. I typically deliver this scope in 60 days, encompassing thorough testing and a packaged build. I prioritize clean code and documentation to provide a smooth technical handoff, alongside rigorous logging to monitor performance and latency. What specific character behaviors or personality traits are you looking to embed into the MetaHuman for more engaging interactions? Thanks, Sean

@rogelitoc

Hello, In my opinion, the problem of this project is that achieving seamless integration between multiple AI services and Unreal Engine requires precise timing and data management. I will establish a robust architecture using C++ for HTTP requests to the LLM API, ensuring efficient JSON parsing and conversation history management. For TTS, I will set up a direct audio stream from ElevenLabs or Azure into Unreal's audio system, optimizing the audio component for real-time playback. I will implement OVR Lip Sync or NVIDIA Audio2Face for lip sync, ensuring blend shapes are triggered based on the audio output to create natural animations. I will carefully handle async operations to maintain synchronization between input, processing, and output. Deliverables include a fully functional Windows demo build, source code, and comprehensive technical documentation for handoff. I have extensive experience with Unreal Engine 5 and integrating complex APIs. I’d love to discuss in more detail. Best Regards.

@SheikhSadab

Hi, I’m a UE5 developer with strong C++ and Blueprint experience, and a background in backend web development (Python, Django, REST APIs). That combination makes me very comfortable working with external services, handling JSON data, and building clean, reliable integrations inside Unreal. For this project, I can build a solid real-time pipeline connecting LLM → TTS → MetaHuman. I’m experienced with system design in Unreal, including async flows, callbacks, and coordinating multiple subsystems like audio, animation, and gameplay logic. I’ve also worked on animation systems and performance optimization, so the character will feel responsive and natural. For latency, I’d structure everything as a non-blocking pipeline: async API calls, audio streaming from TTS in chunks, and progressive lip sync/animation blending so the character starts responding quickly instead of waiting on full outputs. Proposed timeline: • Week 1–2: LLM + conversation system • Week 2–3: TTS + audio integration • Week 3–4: Lip sync + MetaHuman setup • Week 4–5: Polish, optimization, packaging I focus on clean architecture, clear communication, and delivering systems that are easy to maintain and extend. Happy to discuss milestones and next steps.

@johnedwardl

Hi, I will seamlessly integrate the LLM and TTS services with the MetaHuman character in Unreal Engine 5, ensuring real-time responsiveness and natural interaction. With extensive experience in Unreal development using C++ and Blueprints, I've worked on similar AI integrations, giving me a solid understanding of the architecture needed for smooth communication between components. My approach will involve setting up robust HTTP connections for API calls, precise JSON parsing for conversation history, and efficient audio streaming into Unreal's audio system. I will also implement responsive lip sync using OVR Lip Sync, ensuring that facial animations are synchronized with speech output. My experience with Unreal Insights will aid in profiling and optimizing performance throughout the integration process. To address latency, I will implement asynchronous callbacks that prioritize user experience, allowing for quick feedback between the LLM, TTS, and animation layers. I’m ready to start immediately and can provide a packaged demo build along with detailed documentation. Thank you.

@RavenDetector

Hi, I’m Everett, a seasoned Unreal Engine 5 developer with extensive experience integrating AI systems in interactive environments. I understand that you’re seeking to create a real-time AI-powered conversational character using MetaHuman. This project piques my interest, as I have successfully integrated various APIs and tools within Unreal in the past. My approach will involve connecting the LLM API to Unreal C++ for effective handling of user input while employing robust JSON parsing. For the TTS integration, I will utilize ElevenLabs or Azure and seamlessly stream the audio into Unreal's audio pipeline. Ensuring accurate lip sync is critical; I will implement OVR Lip Sync for real-time animation of the MetaHuman's facial expressions. I can start with a packaged demo build alongside comprehensive documentation and will ensure smooth transitions between idle and speaking states. I am available for real-time communication according to your time zone and can deliver a demo or a portion of the project within 12 hours of commencement. Q1: What specific LLM API do you prefer for the integration? Q2: Do you have a preference for TTS services: ElevenLabs or Azure? Q3: What is your target latency between the LLM response and lip sync animations? Looking forward to discussing this further! Best regards, Everett

@iskandark1

Hi there, I have deep working experience with Unreal Engine 5 and AI integration (LLM + real-time systems), especially in building conversational MetaHuman characters with full pipelines including API integration, TTS, and lip sync animation. I also have a pretty good experience with C++ (Unreal), Blueprints, REST APIs, and real-time audio/animation systems. I’ve worked on similar systems where the goal is to connect user input → LLM → text-to-speech → MetaHuman animation, ensuring smooth synchronization between all stages. This type of pipeline requires handling async processes and latency carefully to maintain a natural conversational flow . I have some questions like follow: Will the system use cloud-based APIs (OpenAI, ElevenLabs, etc.) or require a local/offline LLM setup? What level of realism is expected for the MetaHuman (basic lip sync vs full facial expression + eye movement + idle animations)? Please message me for more details Looking forward to your response. Thank you

@vuongvk55682

Hi there, this is Kip Vuong I can help you integrate a real-time AI-powered conversational character using MetaHuman inside Unreal Engine 5, combining text/voice input, LLM, TTS, and lip-sync animation. I’ll handle the entire integration, ensuring smooth interaction and realistic responses in real time. Deliverables: ✔ Full Unreal Engine 5 integration with C++ and Blueprints, including HTTP connection to LLM API (Claude/OpenAI) ✔ Text-to-Speech (TTS) pipeline with ElevenLabs or Azure, streaming audio into Unreal’s audio system ✔ Real-time lip-sync integration using OVR Lip Sync or NVIDIA Audio2Face to drive MetaHuman blend shapes ✔ MetaHuman setup with idle body animation, eye movement, and smooth transition between idle and speaking states ✔ Windows demo build with full source code and technical documentation for future use I’ll optimize the integration for low-latency communication between LLM, TTS, and lip sync stages, ensuring a natural conversational flow. Let’s get started and build something impressive! Best regards

@matheussilva114

Hi there, THE CHALLENGE is seamlessly integrating AI technology with Unreal Engine 5 to create a responsive and natural conversational character using MetaHuman. This requires expert knowledge in C++, Blueprints, and various APIs, as well as the ability to manage asynchronous timing between different stages of the AI pipeline. Handling potential latency issues between the LLM, TTS, and lip sync stages will be crucial to ensure a smooth and realistic user experience. Regards, Matheus

@toqeer74

Seamlessly integrating the LLM API with the TTS pipeline while ensuring responsive lip sync requires expertly orchestrated asynchronous processes. The HTTP integration from Unreal C++ to either Claude or OpenAI will demand robust JSON parsing and judicious conversation history management to maintain context during interactions. Utilizing OVR Lip Sync alongside the selected TTS service ensures the MetaHuman delivers natural dialogue, pivotal for user engagement. I propose a 45-day timeline for the initial deliverable, including a fully packaged demo build and comprehensive technical documentation. Want to see a quick deliverable preview before committing?