Year: 2025
Type: article
Abstract: Managing certificates and academic records manually is inefficient and time-consuming, leading to administrative overhead, errors, and delays in report generation. Physical storage of certificates for academic, extracurricular, and faculty development activities makes it difficult to maintain accurate records and provide personalized academic guidance. To address this, an AI-driven system has been developed to automate certificate digitization, skill extraction, and academic record management. The system integrates OCR to extract text from certificates, NLP to identify event names, and an ontology-based model to map relevant skills. Extracted skills are stored and analyzed to generate real-time reports and personalized recommendations for students and faculty. Additionally, an AI-powered recommendation engine suggests projects and courses based on skill gaps, improving academic and career growth. This solution enhances efficiency, accuracy, and accessibility in record management, reducing administrative workload while enabling data-driven academic support for institutions and students.
Institution: Sengunthar Engineering College (Autonomous)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409958735