AI-Driven Academic Achievement Tracker

Abstract

Currently, colleges and universities manage certificates for students and faculty in physical formats, which is inefficient and cumbersome. In addition, tracking class advisor records, faculty participation certificates, YouTube lectures, and student placement details is a challenging process that complicates the generation of academic reports for each department. This manual technique interferes with the capacity to keep correct records, reducing institutional efficiency and production. This paper aims to overcome these issues by creating a centralized system for automating the collecting and maintenance of certificates and related academic data. By digitizing certificates and adding data such as event attendance, placement records, and faculty-led events, the system improves administration and reporting efficiency. This paper improves institutional operations by implementing a recommendation system that proposes skill-based courses and project ideas to students based on their academic and extracurricular activities, allowing them to expand their knowledge and abilities. With these improvements, the system optimizes institutional procedures, minimizes manual effort, and enhances overall academic management.