Boost Your Career: Real-Time Job Analytics, Virtual Voice Feedback and Job Notification Using Collaborative Filtering Algorithms
In today's rapidly evolving job market, job seekers encounter numerous challenges when trying to identify suitable employment opportunities and adequately prepare for interviews. The project titled “Boost Your Career: Real-Time Job Analytics, Virtual Voice Feedback, and Job Notification using Collaborative Filtering Algorithms” seeks to empower individuals by combining advanced analytics with personalized feedback mechanisms. The platform harnesses real-time job market data to provide users with valuable insights into current employment trends and the skills that are most in demand. By employing collaborative filtering algorithms, it generates tailored job notifications that cater specifically to the preferences and qualifications of users. This feature significantly enhances the overall user experience and increases the likelihood of securing a job placement. A standout component of this platform is its virtual voice feedback system, which simulates interview scenarios, allowing users to practice their responses in a realistic environment. Through this system, users receive constructive feedback on their performance, helping them refine their speaking skills and build confidence for actual interviews. By integrating these innovative features, this project aims to create a comprehensive tool that not only assists users in discovering job opportunities but also enhances their readiness for interviews. Ultimately, “Boost Your Career” facilitates a smoother transition into the workforce, equipping job seekers with the necessary tools and insights to navigate their career paths successfully.
Authors
- Andrés Cabrera (ORCID: https://orcid.org/0000-0002-0486-6296)
- Criselle J. Centeno (ORCID: https://orcid.org/0000-0003-3705-7249)
- Richard C. Regala (ORCID: https://orcid.org/0000-0002-8475-4736)
- Mark Anthony S. Mercado
- José Miranda (ORCID: https://orcid.org/0000-0002-7275-4616)
- John Ray M. Tenio
Institutions
- University of the City of Manila (PH)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icses63760.2024.10910875
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00