An an end to end smart conversational client, that enables low latency voice and text interaction, using Microsoft's intent recognition technologies and a local smart cache.
This case study describes a project with Toyota where we have constructed a machine learning web service that takes summary telemetry data as the input and assigns a risk rating to the trip.
In this real-life-code story, we show how we used Cognitive Services and LUIS to build a vehicle center console that can listen and respond to user's commands, specifically focusing on determining intent.