Skill Mount: Personalized Career Skills Development Using Machine Learning Algorithms
In today’s rapidly changing job market, achieving career goals requires a strategic approach to skill development. Skill Mount is an intuitive web application designed to guide individuals through their career journeys, aiding in both planning and attainment of objectives through personalized technology-driven methods. Given the constant evolution of job roles and the competitive landscape, continuous skill enhancement is imperative for career advancement, making Skill Mount an indispensable tool. Serving as a personalized coach, it tailors daily skill acquisition plans, monitors progress, and suggests suitable job roles based on individual preferences. Leveraging artificial intelligence (AI), including Natural Language Processing (NLP) and Machine Learning (ML), Skill Mount analyzes user data to provide customized skill suggestions and job descriptions. The proposed system uses Recommendation Systems to propose relevant learning resources and utilizes an ensemble method (random forest algorithm) for job recommendations, As a result system acquired higher accuracy rates. With a focus on user experience (UX), Skill Mount ensures seamless interaction through its intuitive interface and automated features driven by AI. By simplifying the career journey and empowering individuals to adapt to the competitive job market, Skill Mount plays a pivotal role in facilitating career growth and success.
Authors
- James A. Joseph (ORCID: https://orcid.org/0000-0002-6686-5889)
- C V Priya
- Nikhil Nihal
- Akhil Krishnan (ORCID: https://orcid.org/0009-0000-0988-1674)
- Salva Fathima S
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/icacc63692.2024.10845560
- Citations
- 2
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.35