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@article{202456,
        author = {Jaydeep Santosh Shinde and Onkar Rajendra Deshmukh and Chaitanya Rajendra Shelke and Dr. Shah Saloni Niranjan},
        title = {AI Career Coach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {7066-7071},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202456},
        abstract = {The rapid expansion of career opportunities in the digital era has made it increasingly difficult for students and job seekers to identify suitable career paths, prepare professional resumes, and develop job-relevant skills. Traditional career guidance methods are often limited, time consuming, and inconsistent due to the availability of multiple information sources and the lack of personalized mentorship. To address this challenge, the AI Career Coach project proposes an intelligent, automated guidance system that utilizes Artificial Intelligence to assist users in making informed career decisions.
This system analyses the user’s academic background, skills, interests, and professional preferences to recommend suitable job roles, required skill development paths, and resume improvement suggestions. The platform provides interactive guidance and curated learning resources to help users bridge the skill gap effectively. By leveraging AI-based recommendation techniques, natural language processing, and structured evaluation parameters, this offers personalized and data-driven career counselling accessible at any time.},
        keywords = {},
        month = {May},
        }