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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | AI IMPACT TRACKER: A DECISION SUPPORT SYSTEM FOR WORKFORCE TRANSITION |
| Authors Name: | G.Janaekiram , S. HIMAKRANTH SAI , T. KARUNAKAR , M.SANEETH , Mr. Swarna Mahesh Naidu |
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IJRTI_202973
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| Published Paper Id: | IJRTI2504240 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | A decision-support tool called the AI Impact Tracker was created to help people make the shift to AI-driven employment. It offers a thorough, individualized method that evaluates users' abilities, passions, and objectives to create learning pathways that are specifically tailored to them. Users can evaluate their technical and soft abilities, choose pertinent skills, and get career development recommendations based on market expectations through an interactive dashboard. To make sure that recommendations match changing employment requirements, the system incorporates real-time market facts, such as skill shortages, salary trends, and industry growth estimates. It also provides a skills evaluation tool that gives users tailored feedback after evaluating their competency in data analysis, machine learning, programming, and other important technical areas. A tailored learning plan with carefully chosen materials, certifications, and practical tasks is also provided by the site. In addition, the system creates a career transition roadmap to assist users in visualizing their path from laying the groundwork to creating a portfolio and applying for jobs. An adaptive learning experience is ensured by the AI Impact Tracker's recommendations, which are continuously improved in response to user feedback. The tool's ultimate goal is to provide people with the knowledge and self-assurance they need to succeed in the rapidly changing field of artificial intelligence. The AI Impact Tracker is a flexible and dynamic tool that is always improving its suggestions based on input from users. This technology is positioned to be a vital tool in preparing the workforce for the future of work as companies move toward a greater reliance on AI. Keywords: AI, career transition, skill assessment, personalized learning, workforce development, machine learning, soft skills, career roadmap, market insights, cloud computing. |
| Keywords: | Artificial Intelligence Workforce Transition Skill Assessment Personalized Learning Decision Support System Career Development Adaptive Learning |
| Cite Article: | "AI IMPACT TRACKER: A DECISION SUPPORT SYSTEM FOR WORKFORCE TRANSITION", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c140-c145, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504240.pdf |
| Downloads: | 000341 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504240
Registration ID:202973
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c140-c145 Country: Guntur, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504240 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504240 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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