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@article{197339,
        author = {Faizan Malikshah Naikwadi and Adinath Subhash Patil and Diksha Santosh Bansode and Tushar Tanaji Keskar and UMESH. A .PATIL},
        title = {AI Career System: Design and Development of An Intelligent Career Guidance Platform Using Machine Learning and Generative AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5941-5946},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197339},
        abstract = {Students and professionals today face significant challenges when navigating their career trajectories due to the extreme fragmentation of guidance tools. Existing platforms typically offer either scattered college searches, rigid keywordbased job portals, or static personality quizzes, leaving users without a cohesive, actionable pathway. To resolve this, we developed the AI Career System—a centralized, intelligent web application utilizing a 3-Tier MVC architecture (HTML5/Bootstrap 5, Python/Flask, and MySQL). The system integrates five core modules: an AI Resume Builder using dynamic PDF rendering, a localized College Finder, a Real-Time Job Portal, a Machine Learning-powered Career Recommendation engine, and a Generative AI Chatbot. By implementing Scikit-learn for TF-IDF vectorization and Cosine Similarity, the system shifts from basic keyword querying to mathematical intent-matching. Furthermore, integrating the Google Gemini 3 Flash API provides users with low-latency, context-aware career counselling. System testing demonstrated high accuracy in career matching and sub-second rendering speeds for dynamic PDF generation, proving that combining local Machine Learning with external Generative APIs creates a highly effective, unified career guidance ecosystem.},
        keywords = {Artificial Intelligence, Machine Learning, Flask, Scikit-learn, Generative AI, Career Guidance, Resume Builder, Natural Language Processing.},
        month = {April},
        }