AIView: helping students prepare for software engineering technical interviews using large language models

Abstract

Computer Science students often find themselves unprepared for Software Engineering interviews as these skills are not sufficiently tested in most universities worldwide. While Data Structures and Algorithms classes help, students face difficulties practicing and honing their interview skills. Increase in reasoning skills for generative AI allows for students to potentially better prepare for internship interviews by speaking to a simulated interviewer powered by an LLM. This project aims to create that interview tool which helps students mimic real-life interview scenarios using Generative AI and simulate the interview process. The project also seeks to provide structured feedback to the user aimed to help them improve their overall performance, ensuring that they're well suited to tackle real-life software engineering interviews.