Abstract
Chatbots or the well-known automated conversational agents have become a raging trend among all the sectors of businesses as a result of the rapid transition happening towards automation in processes. They are already being used extensively and will spread their wings to newer horizons shortly. The basic model of Chatbots is to interact with the user to answer their questions using various modes like text messages, voice replies, or any other predefined suitable interface. This paper discusses the development of a Chatbot for the college, Prasad V Potluri Siddhartha Institute of technology, to answer various questions related to the college like the facilities, procedures, policies, etc. This is a web-based software application implemented using Flask framework. This model is designed to capture text inputs from the user through a console and outputs the response in text format using machine learning concepts. A retrieval approach is implemented to process the input and to respond with an appropriate answer using logic adapters. The performance of this model is analyzed using a questionnaire that uses various parameters like performance, humanity, effect, and accessibility. This paper presents the overall approach used to design the Chatbot and compares the web application as-is study with the to-be website when the Chatbot is incorporated. The web application along with the Chatbot showed a 20% improvement in performance and 5% increase in accessibility by analyzing the performance metrics.
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Akkineni, H., Lakshmi, P.V.S., Sarada, L. (2022). Design and Development of Retrieval-Based Chatbot Using Sentence Similarity. In: Nayak, P., Pal, S., Peng, SL. (eds) IoT and Analytics for Sensor Networks. Lecture Notes in Networks and Systems, vol 244. Springer, Singapore. https://doi.org/10.1007/978-981-16-2919-8_43
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