Smart College Chatbot using ML and Python

• Published in: 2020 International Conference on System, Computation, Automation and Networking (ICSCAN) pp. 1 - 5
• Main Authors: K, Hrushikesh Koundinya, Palakurthi, Ajay Krishna, Putnala, Vaishnavi, Kumar K, Ashok
• Format: Conference Proceeding
• Language: English
• Published: IEEE 03.07.2020
• Subjects: Artificial intelligence; Chatbot; Machine learning; Machine learning algorithms; Natural language processing; Password; WordNet
• DOI: 10.1109/ICSCAN49426.2020.9262426

The days of solely engaging with a service through a keyboard are over. Users interact with systems more and more through voice assistants and chatbots. A chatbot is a computer program that can converse with humans using Artificial Intelligence in messaging platforms. Every time the chatbot gets input from the user, it saves input and response which helps chatbot with little initial knowledge to evolve using gathered responses. With increased responses, precision of the chatbot also gets increases. The ultimate goal of this project is to add a chatbot feature and API for Matrusri Engineering College. This project will investigate how advancements in Artificial Intelligence and Machine Learning technology are being used to improve many services. Specifically it will look at development of chatbots as a channel for information distribution. The program selects the closest matching response from closest matching statement that matches input utilizing WordNet, it then chooses response from known selection of statements for that response. This project aimed to implement online chatbot system to assist users who access college website, using tools that expose Artificial Intelligence methods such as Natural Language Processing, allowing users to communicate with college chatbot using natural language input and to train chatbot using appropriate Machine Learning methods so it will be able to generate a response. There are numerous applications that are incorporating a human appearance and intending to simulate human dialog, yet in most part of the cases knowledge of chatbot is stored in a database created by a human expert.