Inspiration: We got it from while getting introduction on EDF and also while getting to know the problems they faced while handling customers.
What it does: It reduces cost and time for the EDF customer service. Also, It finds vulnerable customers who were eligible to the PSR but not signed up or not aware of these services being offered.
How we built it: It is built on Python and Machine Learning for topic classification with Natural Language Processing.
Challenges we ran into: We had problem while creating interface with chatbot.
Accomplishments that we're proud of: We are happy that it will improve customer experience and satisfaction.
What we learned: Collaboration, modularization of codes
What's next for Priority Service Register Bot for EDF: Better UI, Better Prediction.
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