AI system predicts student career paths with 94.71% accuracy

Researchers have developed an AI-driven system to help undergraduate students in Computer Science and Software Engineering identify suitable career paths. The system integrates a Career Guidance Expert (CGE) with a Web-Based Student Assessment (WBSA) platform. The CGE utilizes a Multilayer Perceptron (MLP) model, achieving 94.71% validation accuracy in predicting personalized career paths based on academic and extracurricular data. The WBSA platform enhances student-faculty interaction through assessments, personalized tasks, and a chat application, all supported by a cloud-based infrastructure. AI

IMPACT Provides a novel AI-driven approach to assist students in navigating career choices within technical fields.

RANK_REASON Research paper detailing an AI system for student career guidance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Career Guidance Expert
• computer science
• IT sector
• Multilayer Perceptron
• PostgreSQL
• Sakir Hossain Faruque
• software engineering
• Web-Based Student Assessment

• paper
• product
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →