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@article{196195,
        author = {Ms. Arogya Jasmine L and Ms. Ramya C and Mrs. K. Krishna Veni},
        title = {AI-Powered Career Coach An AI-Powered Tool for Personalized Career Guidance and Decision-Making},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2696-2702},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196195},
        abstract = {In today’s changing job market, traditional career guidance methods often fall short in helping people navigate complex career paths. This study introduced SENSAI Career Coach, a complete AI-driven platform that offers personalized career guidance and addresses the skill gap. The system integrated modern web technologies like Next.js, Tailwind CSS, Prisma ORM, and Neon DB with AI services such as the Gemini API for resume analysis, skill gap detection, and career path suggestions. Users logged in securely through Clerk Authentication Service, submitted their resumes and skills, and received tailored insights through an interactive interface. The AI analyzed the data, provided recommendations, and created downloadable PDF reports using html2pdf.js. Testing on 50 profiles indicated that the system accurately identified technical skill gaps at 92% and soft skill gaps at 88%. It also suggested career paths that matched user goals 85% of the time and recommended in-demand industry skills at 90%. User engagement was high, with consistent dashboard usage and frequent report downloads. Additionally, 82% of users were satisfied with the recommendations. These results showed that AI- POWERED CAREER COACH effectively supported informed career choices, provided scalable personalized guidance, and improved skill development compared to traditional counseling methods.},
        keywords = {Artificial Intelligence (AI), Machine Learning (ML), Career Guidance System, Skill Assessment, Career Path Prediction, Student Career Development, Interview Preparation.},
        month = {April},
        }