现代信息科技2026，Vol.10Issue(12)：81-86,90,7.DOI:10.19850/j.cnki.2096-4706.2026.12.016
基于多模态大模型的智能面试系统设计与实现
Design and Implementation of an Intelligent Interview System for Multimodal Large Language Models
冯波 1何浪 1戴嘉晟1
作者信息
- 1. 天津电子信息职业技术学院,天津 300350
- 折叠
摘要
Abstract
Aiming at the problems of high labor costs,strong subjectivity in evaluation during enterprise recruitment,and job seekers'lack of immersive simulation training platforms,this paper designs and implements an intelligent interview system based on multimodal Large Language Model.Adopting a dual-backend architecture featuring decoupling between Java business middle platform and Python microservices,the system integrates large models such as Qwen and Gemini,and constructs three core functional modules:a practical programming sandbox,multi-role voice interview,and multimodal comprehensive evaluation.Test results show that the system runs stably:the programming sandbox can execute code safely and conduct code quality analysis;the voice interview module can simulate conversations in various workplace styles;finally,the system can generate structured evaluation reports integrating multi-dimensional information.This system provides a feasible solution for full-process intelligent talent assessment and training,and has reference value for promoting the engineering application of AI-enabled interviews.关键词
大模型/智能面试系统/人工智能Key words
Large Language Model/intelligent interview system/Artificial Intelligence分类
信息技术与安全科学引用本文复制引用
冯波,何浪,戴嘉晟..基于多模态大模型的智能面试系统设计与实现[J].现代信息科技,2026,10(12):81-86,90,7.
