Authors: Ankit Verma, Anmol Soni, Arnav Singh, Adnan Khan, Ahtesham Farooqi
Abstract: This paper presents AI Career Navigator, a com- prehensive AI-driven career guidance platform integrating ten essential modules: career recommendation, resume analysis, job search aggregation, interview preparation, cover letter genera- tion, skill gap analysis, career trend analytics, learning resources, conversational AI chatbot, and LinkedIn profile optimization. The system employs a hybrid methodology combining NLP- based resume intelligence, psychometric profiling using the Big Five Personality Model, supervised machine learning for career prediction, and ATS-based scoring mechanisms. The frontend ar- chitecture leverages React with TypeScript, enhanced by Tailwind CSS, ShadCN UI, and Framer Motion, while the backend imple- ments advanced AI/NLP/ML algorithms for semantic analysis, personality classification, and intelligent career-profile matching. The modular architecture incorporates domain-skill mapping, career-interest correlation, and real-time trend analytics with adaptive feedback loops to generate context-aware recommenda- tions. Comparative evaluation demonstrates that AI Career Navi- gator significantly outperforms conventional systems by providing data-driven insights, holistic skill assessment, and personalized recommendations, thereby enhancing graduate employability and reducing career mismatch rates observed in traditional models.
DOI: http://doi.org/10.5281/zenodo.17761603
