Wanderer:an Ai-Powered Career Readiness and Evaluation Platform

Abstract

The job market post-pandemic has been very competitive, especially in the STEM field. This demands that students equip themselves with the necessary knowledge and skills to perform well during interviews to guarantee employment. Unfortunately, most students lack the proper guidance and resources to prepare for these interviews effectively. Many struggles with the practical application of theoretical concepts, problem-solving techniques, and the ability to demonstrate their knowledge and articulate their thoughts during technical interviews. Several companies have created mock interview platforms to assist students and professionals during their interviews. Platforms like Pramp and Leetcode allow students to practice coding problems, engage in peer-to-peer mock interviews but they fall short on providing personalized feedback based on the candidate’s performance. The proposed solution aims to provide students with personalized mock interview experiences. Wanderer streamlines the interview process by utilizing an AI (Artificial Intelligence) agent that carefully guides the user throughout the session by giving hints, suggestions, and customized feedback on their performance during and after the interview session. The successful implementation of the proposed solution would enable students to practice and be more conversant with the technical interview environment and reduce their chances of failure. Ultimately, the proposed solution would be an asset to students and professionals alike who want to practice and improve their interviewing knowledge and skills.