Review To Decipher Job Opportunities By A-I Powered Dynamic Bot and Recommending Content-Based E-Learning Resources

Authors

  • Prof. V. U. Bansude  Professor, Department of Electronics and Telecommunication and Engineering, SPPU University, Pune, Maharashtra, India
  • Mr. Navnath Dharme  Student, Department of Electronics and Telecommunication and Engineering, SPPU University, Pune, Maharashtra, India
  • Ms. Manasi Ingole  Student, Department of Electronics and Telecommunication and Engineering, SPPU University, Pune, Maharashtra, India
  • Mr. Pranav Bhosale  Student, Department of Electronics and Telecommunication and Engineering, SPPU University, Pune, Maharashtra, India

Keywords:

AI-Powered Dynamic Bot, Job Opportunities, Career, Development Personalized, Recommendation-Learning Resources, Artificial Intelligence, Natural Language Processing, Machine Learning

Abstract

In the rapidly evolving landscape of the modern workforce, individuals and organizations face the challenge of staying relevant and competitive in their respective industries. The dynamic nature of job markets requires constant upskilling and reskilling to meet the demands of emerging roles and technologies. This abstract introduces a solution designed to address these challenges by leveraging Artificial Intelligence (AI) in the form of a dynamic bot. This research project focuses on creating an AI-powered dynamic bot that can analyze a user's skills, experience, and career goals to provide personalized job opportunities. The bot is capable of real-time monitoring of job listings, industry trends, and the ever-changing skills requirements of various professions. Using natural language processing and machine learning algorithms, the bot offers users tailored job recommendations, enabling them to make informed career decisions. Moreover, the dynamic bot doesn't stop at job recommendations alone. It goes a step further by recommending content-based e-learning resources to help users acquire the skills and knowledge necessary for the recommended job opportunities. By identifying gaps in a user's skillset and aligning them with relevant online courses, webinars, articles, and videos, the bot facilitates a seamless transition into new career paths or enhances one's existing skill set. This recommendation system is underpinned by a comprehensive database of e-learning resources that continuously updates to reflect the latest industry developments. This project aims to revolutionize career planning and development by harnessing the power of AI to provide users with actionable insights and resources. By helping individuals identify and pursue job opportunities that match their interests and capabilities, this AI-powered dynamic bot contributes to a more efficient and informed workforce. Furthermore, by promoting lifelong learning through personalized e-learning recommendations, the project addresses the growing need for continuous skill development in an ever-changing job market.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 10, September-October-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. V. U. Bansude, Mr. Navnath Dharme, Ms. Manasi Ingole, Mr. Pranav Bhosale, " Review To Decipher Job Opportunities By A-I Powered Dynamic Bot and Recommending Content-Based E-Learning Resources" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 10, pp.237-244, September-October-2023.