InterviewEdge: A Smart Interview Assistant

A structured, objective approach to non-coding technical interviews can enhance fairness and effectiveness in hiring, for which the latest AI technology can be applied instead of human evaluation. Towards this, this paper presents InterviewEdge: A Smart Interview Assistant, an AI-powered system designed to automate the evaluation of theoretical answers in programming languages. The proposed system employs Artificial Intelligence (AI) technologies such as the Retrieval Augmented Generation (RAG) and Large Language Model (LLM) for the retrieval of relevant content for technical assessment of the candidates’ responses. The proposed work is evaluated using criteria such as technical accuracy, response completeness, display of language-specific knowledge, and use of clarity & structure. InterviewEdge provides for unbiased evaluation by ensuring consistent marking of the responses. Feedback to the candidates may help them understand how to improve specific areas of their answers.