Building an Explainable Recommender System for Engineering Students' Work-Integrated Learning (WIL)
July 2025 · Palermo, Italy
Product 07Career Development
AI-powered internship recommendations tailored for UF engineering students.

Overview
Finding the right internship as an engineering student can feel like solving a complex optimization problem—which, coincidentally, is exactly what Pro-CaRE does for you.
This AI-powered recommendation engine goes beyond matching GPAs to job descriptions. Pro-CaRE considers your academic strengths, communication style, leadership potential, personal background, and career aspirations to find internships that aren't just good fits—they're transformative experiences. Developed with support from UF's top education and engineering faculty, the system promotes equity by ensuring all students get access to opportunities that match their unique strengths.
What sets Pro-CaRE apart is its explainable AI approach. Instead of mysterious black-box recommendations, you get clear explanations: 'This internship matches your interest in sustainable design and builds on your strong project management skills from your coursework.' It's like having a career counselor who never sleeps, knows every internship opportunity, and remembers exactly what makes you unique as an engineer-in-training.
Capabilities
Research
Selected academic work associated with the design, development, or study of this product.
July 2025 · Palermo, Italy
Partnership & collaboration