Artificial Neural Network Based University Chatbot System

Chatbots have effectively reduced human efforts by providing automated human-like solutions for various business and societal problems. This paper is an elaborate description of the design and implementation of a University Counselling Auto-Reply Bot, that is capable of providing answers to queries related to the field of Engineering at our University level. The appropriate NLP techniques are applied to our University Data, developed in the JSON format and the Feedforward neural model is used for training this dataset, the issue of overfitting was handled. The Chat Application is then deployed on Facebook Messenger, the response is visible to the User on the Facebook Messenger interface, to provide them with an effective interaction platform. The end-user testing was conducted in two phases; the probability scores of the correct responses were improved to 0.72 in the second phase from 0.46 in the first phase after devising additional training phrases and keywords to the dataset.