The growing complexity of the current recruitment processes, the preparation of interviews has become under a lot of pressure, and, although the traditional methods of the preparation are united and incomplete in certain aspects, they do not fully serve the needs of each candidate. The concept introduced in this paper involves an AI-based career preparation platform, which combines automated resume parsing, simulated interviews, and a full- fledged career readiness assessment in one platform. The platform reads any resume that has been uploaded by the user and identifies the skills, education, projects, and work experience and matches the profile to the job candidates desired. To solve a vital problem in which technically skilled individuals fail to pass HR interviews, the system rolls out a behavioral, situational and personality-based interview coaching AI-powered HR Interview Coach which trains users to answer specific questions and offers tutorials and feedback to improve their interviewers. Furthermore, Technical Interview Practice Engine is added to enhance technical readiness in the main areas including data structures, databases, operating systems, object- oriented programming, and programming languages on the basis of theory application, coding problems, question and answer, and debugging. The platform also has aptitude, soft skill training, creative learning modules, company-specific training tools, and placement tracking systems. Intuitive feedback using analytics and the support of personalized learning paths decrease the time spent in preparation and enhances confidence and interview performance. The system proves to be effective to students, job seekers, and educational programs through experimental evaluation where there is better role preparedness and better interview results.
Patil et al. (2026) studied this question.