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API-Controlled Virtual Host for Hybrid Environments

Resorts World Inc · Posted 1 year ago

TechnologyGenerative AIVoice AIComputer Vision
Budget
USD 10,000
Timeline
Not specified
Closed on
11 Aug 2025, 19:50 ICT

Problem statement

Deploy a virtual host/avatar that can be controlled on-demand via API calls. No existing integrated solution meets the requirements for human-like avatars, multilingual voice, real-time control, and hybrid deployment. This includes customized hand gestures controllable on demand.

Expected outcomes and success metrics

• Support 1,000+ concurrent users with <1-second latency for command processing and scene transitions. • Deliver high-resolution (1080p) graphics with human-like virtual host avatars and smooth animations. • Provide at least 95% accurate responses from API calls or instructions. • Achieve 95% accurate multilingual voice-over delivery, supporting at least Traditional Chinese, Simplified Chinese, and English. • Maintain 99.9% uptime for cloud-based or on-premise deployments. • Ensure secure handling of command inputs and data exchanges to prevent unauthorized access. • Provide API readiness for integration with external systems. • Operate in hybrid deployment environments (AWS cloud or on-premise physical servers, with limited or no internet access).

Current process

There are no currently used solutions. The Virtual Host System will be a new implementation to address identified requirements for human-like avatars, complex object interactions, real-time multilingual voice, and seamless API integration within hybrid deployment environments. Many do not support real-time API-driven control, multilingual voice-over with high accuracy, or hybrid deployment across both cloud and offline on-premise environments. Current tools also lack the <1-second latency and 1,000+ concurrent user performance required for large-scale deployments.

Current solution

There are no currently used solutions. The Virtual Host System will be a new implementation to address identified requirements for human-like avatars, complex object interactions, real-time multilingual voice, and seamless API integration within hybrid deployment environments. Many do not support real-time API-driven control, multilingual voice-over with high accuracy, or hybrid deployment across both cloud and offline on-premise environments. Current tools also lack the <1-second latency and 1,000+ concurrent user performance required for large-scale deployments.

Target users and impacted teams

• Event Management Teams – for large-scale virtual conferences and live events. • Customer Service Teams – for interactive virtual reception and guided assistance. • Training & Education Teams – for immersive, scenario-based learning simulations. • Entertainment & Gaming Teams – for interactive storylines and virtual experiences.

Data availability and readiness

• Input Data: Command sets (text, voice, UI), scene definitions, object libraries, integration endpoints, and a set of predefined scripts/data/ hand gestures tailored to specific scenarios (e.g., customer service, event hosting, or virtual assistant interactions). • Scripts: Include triggers (keywords, phrases, or intents) and corresponding responses. • Formats: API endpoints, multimedia assets (MP4 video, RTSP live stream), and multilingual voice assets. • Readiness: Scene libraries, object interaction definitions, and command protocols are defined. Voice-over assets for required languages are part of the initial deployment scope.

Integration, deployment and infrastructure

• Integration: API-ready for external platforms (event management systems, VR/AR tools, or service platforms). • Deployment: Supports hybrid models – AWS cloud hosting or on-premise servers with limited/no internet access. • Infrastructure: Capable of running on GPU-enabled AWS instances or physical servers. • Output: MP4 for recorded video delivery, RTSP for live streaming to end users or integrated platforms. • Security: Encrypted communication for all command inputs and data exchanges to prevent unauthorized access.

Relevant AI technologies

Generative AIVoice AIComputer Vision