AI-Driven Career Development Platform

The process of finding a job is difficult enough, but when searching for professional assistance in the form of interview preparation or career counseling, the cost is usually prohibitive. This is why many individuals find themselves using multiple websites, applications and inputting the same information repeatedly. Therefore, we developed ARIA. ARIA is a completely free online platform that provides both interview practice and career guidance in a single location. ARIA utilizes artificial intelligence (AI) to simulate realistic mock interviews that include audio interaction with the user as well as provide immediate feedback based upon how the user presents him/herself. Additionally, ARIA will provide users with customized career guidance, resume reviews, and a learning plan tailored to each individual user. Users do not need to have any special technology to access ARIA; anyone who has internet can utilize the service regardless of their geographical location or income level. In this paper, we outline the process by which ARIA was designed, explain the technical components of ARIA, and discuss the major ethical issues surrounding AI in career development. Background: The majority of career development products operate independently of each other and therefore do not communicate effectively, limiting a person's ability to navigate the career development process. Furthermore, the cost of these products as well as where a person resides limits the availability of effective career development resources. Objectives: We sought to create a product utilizing artificial intelligence that would integrate the interview preparation process and the career development process into one product. Our objectives were to make our product accessible, to ensure the ethics of our product, and to remove traditional barriers to accessing career development resources. Methods: ARIA was created using Next.js 15, React 19, and PostgreSQL on top of a microservice architecture. As for the brain of ARIA, we utilized Google Gemini 2.5 Flash for text-based AI [1] and Hume AI for the voice interview experience as well as the emotional feedback. To maintain accountability and to provide transparency to the users of ARIA, we ensured that humans remained involved in the process. Additionally, we maintained solid security measures to protect the integrity of the data provided to us by users of ARIA. Finally, we established communication between all of the various components of ARIA. Results: ARIA currently offers two primary services—voice-based interview preparation with feedback from multiple angles and chat-based career development resources such as resume review, learning plan, and content creation.