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Embedded Voice Assistant for VETC App

Tasco · Posted 1 year ago

Automotive and mobilityConversational AI / ChatbotsVoice AISearch & Knowledge Retrieval
Budget
To be determined
Timeline
Not specified
Closed on
31 Oct 2025, 23:59 ICT

Problem statement

VETC’s, Vietnam's leading electronic toll collection (ETC) system operator mobile app currently requires users to navigate multiple menus and screens for basic tasks, which is cumbersome—especially while driving or in urgent situations—leading to frustration and reduced engagement.

Expected outcomes and success metrics

Enable hands-free, natural-language access to core VETC features (wallet management, service locator, etc.), with high ASR accuracy, low latency, and contextual understanding in Vietnamese.

Current process

Evaluating VNG Kiki, VinBigData Vivi, FPT SmartCloud

Current solution

Evaluating VNG Kiki, VinBigData Vivi, FPT SmartCloud

Target users and impacted teams

Over 2 million VETC app users across Vietnam

Data availability and readiness

Real-time GPS location, wallet balance API, service station directory; mock APIs available for PoC

Integration, deployment and infrastructure

Wake-word activation (“VETC ơi”), Vietnamese ASR with <10% WER, contextual dialogue engine, on-device or lightweight voice model (<200MB), integration with VETC APIs

Relevant AI technologies

Conversational AI / ChatbotsVoice AISearch & Knowledge Retrieval