Senior Design capstone: an embedded voice interaction system running on a Raspberry Pi 4, designed for accessible, hands-free conversation in public/expo settings.
Speech is captured and transcribed with Azure Cognitive Services Speech-to-Text, benchmarked at 97.94% word accuracy on field recordings. Transcripts are routed to the DeepSeek API for context-aware reasoning, with a lightweight intent-routing layer to keep latency low.
Built five Python modules, improving response efficiency by 25%. Maintained 3+ hours of stability during public interaction at the Senior Design Expo through rapid debugging.
Speech in. Context-aware conversation out.
AI-EDITED EDITORIAL · ILLUSTRATIVE SCENE, NOT PROJECT DOCUMENTATION
