AI Driven Cognitive Level Analysis of Students Using EEG Data

This paper introduces a web-based EEG analysis system for assessing student cognitive performance using AI techniques like CNN, LSTM, and Transformers to evaluate attention, concentration, cognitive load, and relaxation. Developed with Flask and SQLite, it features admin/student dashboards, real-time monitoring, and automated PDF reports. The system extracts frequency-domain features from EEG signals for educational insights, achieving high accuracy in cognitive state classification.