University Archives

Internship-seeking students often struggle to receive meaningful resume feedback from AI tools designed for experienced professionals. TitanCV addresses this gap by providing personalized, constructive resume evaluations focused on education, class projects, technical skills, and other underrepresented experiences. The system leverages GPT-3.5 with few-shot learning, incorporating three optimized examples to generate consistent and honest feedback. Synthetic student resumes were generated to test and refine the evaluation process. The tool integrates a user-friendly Webflow interface with a Python backend, allowing students to upload resumes and receive detailed feedback in real time. This project highlights applications of AI, API integration, few-shot learning, synthetic data generation, and web design in creating accessible career resources for students.