Zhengtan Jin¹ and Han Tun Oo², ¹USA, ²California State Polytechnic University, USA

This paper presents an AI-driven mobile application that helps students discover personalized opportunities, such as internships, volunteering, activism events, and mental health resources [1]. Students often face challenges navigating a vast number of options, further complicated by discrimination and eligibility barriers. The app uses Firebase for data storage and authentication, and ChatGPT to evaluate and rank opportunities based on user-provided profile data using a structured scoring prompt [7]. Two experiments were conducted to test its effectiveness. The first assessed the consistency of AI rankings using prompts of varying specificity, showing that a clear and hyper-structured prompt produced the most reliable results, with up to 74.4% consistency. The second experiment tested different search keywords for locating mental health providers, revealing that specific terms like "mental health" returned more accurate results than general terms like "therapy." These findings support the app's ability to deliver consistent, personalized, and relevant recommendations, ultimately simplifying the process for students to access valuable opportunities.

Student opportunities, AI recommendation, Personalized ranking, Mental health access