PeterH0323/Streamer-Sales

Features

• Multimodal Response Pipelines - Coordinates ASR, LLM, TTS, and avatar rendering to convert spoken input into visual and auditory responses.
• Interactive Video Avatar Generators - Synthesizes talking-head videos using text-to-speech and face animation to create interactive virtual spokespeople.
• Sales Agent Frameworks - Uses large language models to generate persuasive product pitches and sales scripts.
• Retrieval-Augmented Generation - Employs retrieval-augmented generation with vector databases to ground product descriptions in factual data.
• Multimodal AI Pipeline Orchestration - Coordinates automatic speech recognition, LLMs, and text-to-speech into a unified pipeline for real-time voice interaction.
• RAG Context Retrieval - Retrieves relevant document segments from a vector database to ground AI responses in factual data.
• RAG Grounding Verifiers - Implements grounding mechanisms to ensure sales scripts are factually accurate based on product manuals and web data.
• Speech-to-Text and Text-to-Speech Integrations - Combines speech-to-text and text-to-speech capabilities to enable real-time voice conversations.
• Speech to Text Transcription - Converts spoken audio into text using automatic speech recognition to enable real-time interaction.
• Text-to-Speech - Synthesizes natural human speech from written text using high-fidelity generative models.
• AI Sales Agents - Generates persuasive product pitches and scripts using LLMs to increase customer purchase intent.
• Sales Pitch Generation - Generates persuasive product descriptions and sales scripts to increase customer purchase intent.
• Virtual Spokesperson Orchestrations - Orchestrates animated digital avatars with synchronized speech and video to act as automated brand spokespeople.
• Conversational Avatar Animators - Synchronizes digital character movements and facial expressions with conversational AI input.
• Containerized Deployments - Deploying complex machine learning pipelines using Docker and FastAPI for scalable and consistent environment management.
• Agentic Search Tools - Employs autonomous agents for iterative, multi-step information retrieval and real-time web searching.
• Contextual Information Retrieval - Uses embedding and reranking models to fetch relevant document chunks and ground AI responses.
• Synthetic Media Generators - Produces synthetic video presentations using AI-powered tools to convey information visually.
• Quantized Inference Accelerators - Accelerates LLM response times using precision quantization and caching via LMDeploy.
• Real-Time Web Search Integrations - Allows AI agents to perform live internet searches to ground responses with current data.
• AI Application Deployments - Provides a containerized AI suite with a FastAPI backend and Vue frontend packaged via Docker Compose.

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