ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771
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Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    SKILL BRIDGE: INTELLIGENT SKILL BUILDING WITH AI

    Mr.Saikanth Battu,Yada Rajeswari,Yamana Sai Venkata Smarani,Yadavalli Akshitha

    Author

    ID: 1860

    DOI: Https://doi.org/10.64771/ijesat.2025.v25.i12.pp130-136

    Abstract :

    Skill Bridge Is An AI-driven Skill Development Platform Designed To Bridge The Gap Between Learners’ Current Capabilities And Industryrequired Competencies. The System Leverages Machine Learning Techniques To Analyze Learner Profiles, Identify Skill Deficiencies, And Recommend Personalized Learning Pathways. By Integrating Intelligent Content Curation, Adaptive Assessments, And Real-time Feedback, Skill Bridge Ensures That Users Progress Efficiently Through Targeted Skill Modules. The Platform Also Utilizes Predictive Analytics To Forecast Learner Performance And Suggest Optimal Learning Interventions. Through Automated Progress Tracking, Interactive Learning Resources, And AI-enabled Career Recommendations, Skill Bridge Enhances Both Learning Outcomes And Employability. Overall, The System Provides A Smart And Scalable Solution For Skill Enhancement Across Academic, Professional, And Training Environments. Keywords: Skill Development, Machine Learning, Personalized Learning Pathways, Adaptive Assessments, Predictive Analytics, Intelligent Content Curation, Real-time Feedback, Career Recommendations, Learning Analytics, Employability Enhancement.

    Published:

    11-12-2025

    Issue:

    Vol. 25 No. 12 (2025)


    Page Nos:

    130-136


    Section:

    Articles

    License:

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

    How to Cite

    Mr.Saikanth Battu,Yada Rajeswari,Yamana Sai Venkata Smarani,Yadavalli Akshitha, SKILL BRIDGE: INTELLIGENT SKILL BUILDING WITH AI , 2025, International Journal of Engineering Sciences and Advanced Technology, 25(12), Page 130-136, ISSN No: 2250-3676.

    DOI: https://doi.org/10.64771/ijesat.2025.v25.i12.pp130-136