Litcius/Paper detail

COLLEGEBOT: Virtual Assistant System for Enquiry Using Natural Language Processing

A Selvi, V. Mounika, V Rubika, B Uvadharanee

202411 citationsDOI

Abstract

The Artificial Intelligence (AI) and Natural Language Processing (NLP) software or application helps to interact with people in a human-like fashion by delivering information, answering questions, completing tasks, and offering assistance in different ways is called a virtual assistant. These virtual assistants can be found in many different places, such as smart speakers, websites, apps, and smartphones. Virtual assistants are able to comprehend human language and provide responses. They process and interpret text or voice inputs using NLP algorithms, allowing users to interact with them in a conversational fashion. Therefore, this study analyse a virtual assistant for college inquiry, a sophisticated artificial intelligence program created to offer prospective college students and their families all-inclusive support during the college admissions process. It can comprehend user requests and respond to them in a conversational manner with the use of Artificial Intelligence (AI) and Natural Language Processing (NLP). These virtual assistants provide individualised advice by providing answers that are specific to each user's questions, whether they relate to particular academic programmes, admission requirements, financial aid options, or campus amenities. They are particularly skilled at responding to frequently requested queries, ensuring prompt and accurate responses while also freeing up administrative staff to concentrate on more difficult responsibilities. This research study offers a platform for users to interact with chatbots that have undergone extensive machine learning training on datasets. Machine learning algorithms employ a more natural approach to computing rather than a logical one. The training data affects the outcomes.

Topics & Concepts

Computer scienceNatural (archaeology)Programming languageHuman–computer interactionNatural language processingArchaeologyHistoryIntelligent Tutoring Systems and Adaptive Learning