AI-Based Interview Resume Analyzer System is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
AI-Based Interview Resume Analyzer System Project Details
| Abstract |
This paper discusses the construction of an intelligent hiring platform that improves and partially automates recruitment, including the use of artificial intelligence (AI). Recruitment involves lengthy and tedious processes such as manual evaluation of job applications and conducting interviews, which can create an economic burden for recruiters. The proposed solution provides an all-in-one web-based platform that contains multiple AI-based features, such as resume analysis that meets the criteria for applicant tracking systems (ATS), a simulated interview analysis tool, a job search function, and social media profile analysis. Candidates can upload their resumes for automated screening and participate in AI interviews using their voice and camera along with instant performance feedback.
For recruiters, there’s an integrated administrative panel that allows them to control and supervise the status of applicants. The technical stack of the project combines React.js, TypeScript, Tailwind CSS, Firebase, Firestore, and Google Gemini AI. This platform aims to maximize the efficiency of recruitment by lowering the need for manual operations, improving the quality of candidate evaluations, and providing a modern solution for recruitment management.
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| Reference Paper |
AI-Based Interview and Resume Analyzer System |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Artificial Intelligence & Machine Learning / Computer Vision |
| PDF Download |
Download / View PDF |
| Get Help |
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