  e-Yantra Robotics Competition (eYRC) is a unique Robotics Competition hosted
by IIT Bombay that is actually an Embedded Systems and Robotics MOOC.
Registrations have been growing exponentially in each year from 4500 in 2012 to
over 34000 in 2019. In this 5-month long competition students learn complex
skills under severe time pressure and have access to a discussion forum to post
doubts about the learning material. Responding to questions in real-time is a
challenge for project staff. Here, we illustrate the advantage of Deep Learning
for real-time question answering in the eYRC discussion forum. We illustrate
the advantage of Transformer based contextual embedding mechanisms such as
Bidirectional Encoder Representation From Transformer (BERT) over word
embedding mechanisms such as Word2Vec. We propose a weighted similarity metric
as a measure of matching and find it more reliable than Content-Content or
Title-Title similarities alone. The automation of replying to questions has
brought the turn around response time(TART) down from a minimum of 21 mins to a
minimum of 0.3 secs.
