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A Multilingual AI Chatbot for Real-Time College Admission Enquiries using Web Scraping and Natural Language Processing

Authors:

Abishek Kumar Sah Computer Science & Engineering Jain (Deemed to-be University)

Bangalore, Karnataka, India sahkumarabhishek123@gmail.com

Jay Prakash Sah Computer Science & Engineering Jain (Deemed to-be University)

Bangalore, Karnataka, India jpsah44@gmail.com

Shiv Ranjan Kumar Adhikari Computer Science & Engineering Jain (Deemed to-be University) Bangalore, Karnataka, India meshiv747@gmail.com

Prof. Geetha Rani K Computer Science & Engineering Jain (Deemed to-be University)

Bangalore, Karnataka, India ramagetu2015@gmail.com

Abstract—In order to meet the increasing demand for clear and reliable information about college admissions, this study proposes the creation and deployment of an AI-powered chatbot that operates online. The constraints of static databases are removed by the suggested solution, which uses web scraping and Google search to dynamically extract real-time data from the internet. Using sophisticated natural language processing (NLP) techniques, the chatbot integrates multilingual support for Hindi and English. Intelligent query handling, automatic translation, and language detection are essential elements. The system is available via an intuitive web interface and was developed with Python, Flask, and a number of NLP and scraping modules. The chatbot has the ability to streamline the college admissions process for students all over India by effectively responding to questions on university rankings, course offers, costs, application deadlines, and more.

Keywords—College Admission Chatbot, Multilingual NLP, Web Scraping, Google Search Automation, Hindi-English Chatbot, Educational Technology, Flask Web Application, Language Detection and Translation