A real-time AI voice assistant that connects students and educators to institutional knowledge across multiple disconnected sources, instantly, conversationally, and at production scale.
The EdTech platform had accumulated a large volume of institutional knowledge (curriculum documents, policy guides, FAQs, and instructional materials) spread across multiple separate systems and formats.
Students and educators needed quick, accurate answers to questions that often required synthesizing information from several of these disconnected sources. The existing workflow required manual searching across systems, which was slow, inconsistent, and increasingly unsustainable as the knowledge base grew.
The core problem: users were spending a disproportionate amount of time finding information rather than using it.
I designed and built a real-time conversational voice assistant capable of accessing and synthesizing information from the platform's diverse knowledge sources. Users simply speak their question and receive a natural, spoken response within milliseconds.
The system uses a WebSocket-based architecture that connects browser audio capture directly to a voice AI pipeline with server-side voice activity detection (VAD). This eliminates the latency introduced by HTTP round-trips and enables a genuinely conversational experience.
Key engineering decisions that drove the outcome:
The voice assistant was deployed into production and immediately demonstrated significant improvements in how users discovered and accessed institutional knowledge.
I can design and build a conversational voice AI for your knowledge base, product, or customer experience, delivered in weeks, not months.
