Smart Chatbot to Assist Users of Employment Websites in Job Search, Skill Development, and Networking Opportunities

Abstract

This paper presents the development and implementation of a smart chatbot designed to assist users of employment websites in various aspects of their job search, skill development, and networking endeavors built using bert model, spacy model and large language model. With the increasing reliance on online platforms for job hunting and career advancement, there is a growing need for intelligent tools that can streamline the process and provide personalized support to users. This article examines a chatbot that provides many functionalities to improve job search outcomes and user experience. These functionalities include personalized job recommendations, skill development suggestions, and networking opportunities tailored to the user's queries. The paper outlines the methodology used in the development of the chatbot, including the integration of natural language processing techniques and machine learning models. The paper presents findings from comprehensive evaluation, shedding light on the efficacy of the chatbot's functionalities. The implications of this research extend to both academia and industry, underscoring the potential of AI-driven chatbots to revolutionize the way individuals navigate the job market and pursue career advancement opportunities.