InterviewBo: Multimodal Intelligence System for End-to-End Recruitment Process Automation and Skill Interpretation
DOI:
https://doi.org/10.15662/IJEETR.2026.0802440Keywords:
Artificial Intelligence, Recruitment Automation, SBERT, Code2Vec, T5, BiLSTM, Multimodal Learning, Hiring SystemsAbstract
InterviewBo is an AI-powered recruitment platform designed to automate the end-to-end hiring process while improving fairness, efficiency, and accuracy in candidate evaluation. The system integrates Sentence-BERT (SBERT) for semantic resume–job matching, Gradient Boosting Classifier (GBC) for aptitude assessment, and Code2Vec for programming skill evaluation. In the final stage, a fine-tuned T5 model generates personalized interview questions through a virtual HR avatar. Candidate responses are analyzed using MFCC with BiLSTM for speech evaluation and a Spatiotemporal Attention Network for facial behavior analysis. By combining multimodal AI techniques, the system enables objective performance profiling and supports data-driven hiring decisions while reducing human bias and recruitment time
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