The current solutions for AI-powered conversational avatars fail to support low-latency, real-time interaction required for realistic roleplay training in pharmaceutical sales. Existing third-party platforms are costly, limited to one-way video generation, and introduce dependency risks due to lack of control over APIs and pricing. There is a clear gap in open-source or licensable systems that can deliver synchronized speech, expressive animation, and seamless LLM-driven dialogue in a web environment. This problem requires building a scalable, real-time conversational avatar system that can be reliably integrated into enterprise applications.
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