  Trains are part-and-parcel of every day lives in countries with large,
diverse, multi-lingual population like India. Consequently, an assistant which
can accurately predict and explain train delays will help people and businesses
alike. We present a novel conversation agent which can engage with people about
train status and inform them about its delay at in-line stations. It is trained
on past delay data from a subset of trains and generalizes to others.
