DATA SCIENCE CHATBOT

Abstract

The primary aim of this paper is to create a Chatbot software that can converse with users using natural language. The
chatbot responds to user input, giving the impression of human-to-human interaction. It is helpful for students to get
information about programming languages and subjects from any location with network access. The chatbot reduces
the workload by providing vital information to students or parents. It also reduces the burden of answering students'
questions. The research analyzes how cognitive computing stands operated in a mixed instructional setting. An
architecture of cognitive agents is proposed for answering learning questions, featuring interactive (small talk),
optimized for specific knowledge domains. This course serves as a personal guide to assist students in acquiring skills
in data science and machine learning methods. Operation includes expert system models and algorithms for
understanding a natural language that mimics human-like intelligence. The efficiency of the methodology has been
verified through experimental trials.