Lifelike AI Twin Development
Budget: $8 – $15 USD
I need a hyper-realistic “digital twin” that feels genuinely human in look, voice, and conversation. The core objective is to create an AI-driven avatar able to mirror my tone, facial expressions, and communication style so convincingly that users forget they are speaking with software.
Scope
• End-to-end build of the avatar, including photorealistic 3-D model or video-based clone, natural-language understanding, and real-time voice synthesis.
• Integration layer that lets the twin be embedded later into web, mobile, or desktop experiences; please keep the codebase modular so platform hooks can be added without re-writing core logic.
• A lightweight dashboard where I can update knowledge, tweak personality parameters, and review interaction logs.
Deliverables
1. Working prototype that can hold an unscripted five-minute conversation while maintaining consistent visual and vocal fidelity.
2. Source code, trained models, and build instructions.
3. Short walkthrough video plus written documentation outlining architecture, libraries, and any third-party services used.
Acceptance criteria
• Latency under two seconds per response in a stable network test.
• Voice and facial movement stay synchronized throughout the demo.
• Language model recognises context from at least three prior user turns and responds coherently.
Feel free to suggest the most appropriate stack—whether that involves Unreal MetaHuman, Unity, Python, TensorFlow, or a combination of cloud APIs—and highlight any licensing implications up front. Timelines and milestone breakdowns are welcome so we can lock the roadmap together.
Scope
• End-to-end build of the avatar, including photorealistic 3-D model or video-based clone, natural-language understanding, and real-time voice synthesis.
• Integration layer that lets the twin be embedded later into web, mobile, or desktop experiences; please keep the codebase modular so platform hooks can be added without re-writing core logic.
• A lightweight dashboard where I can update knowledge, tweak personality parameters, and review interaction logs.
Deliverables
1. Working prototype that can hold an unscripted five-minute conversation while maintaining consistent visual and vocal fidelity.
2. Source code, trained models, and build instructions.
3. Short walkthrough video plus written documentation outlining architecture, libraries, and any third-party services used.
Acceptance criteria
• Latency under two seconds per response in a stable network test.
• Voice and facial movement stay synchronized throughout the demo.
• Language model recognises context from at least three prior user turns and responds coherently.
Feel free to suggest the most appropriate stack—whether that involves Unreal MetaHuman, Unity, Python, TensorFlow, or a combination of cloud APIs—and highlight any licensing implications up front. Timelines and milestone breakdowns are welcome so we can lock the roadmap together.