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3D AI Conversational Avatar

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Summary

Prototype focused on natural interactions through an expressive 3D avatar that responds in real time and can be embedded across channels.

Context

The objective was to bridge conversational AI and visual identity by creating an avatar interface suitable for customer engagement and demos.

Problem

Text-only assistants lack emotional presence and can feel detached in experience-driven products. Real-time rendering and lip-sync are often fragile.

Solution

Implemented a full interaction pipeline combining LLM responses, TTS output, and lip-sync animation in a performant WebGL scene.

Technical Approach

Built modular architecture to support widget embedding, avatar state control, and future WebXR extension without changing core logic.

Outcome

Delivered a demonstrable AI avatar prototype with smooth response flow and reusable architecture for future productization.

Tech Stack

WebGL Three.js LLM APIs TTS WebXR