Shanmugalingam, NMaheshwaran, LRizvee, IRoshni R.JSamarakoon, URajendran, K2026-10-072025-12-09N. Shanmugalingam, L. Maheshwaran, I. Rizvee, R. RJ, U. Samarakoon and K. Rajendran, "EDU-SENSE: AI-Driven Adaptive E-Learning System for Primary Education," 2025 7th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2025, pp. 1-6, doi: 10.1109/ICAC69156.2025.11361431.979-833156222-9https://rda.sliit.lk/handle/123456789/5348This research addresses critical gaps in primary education by integrating AI-driven e-learning tools with traditional classroom teaching, ensuring technology supports rather than replaces teachers while improving student learning outcomes. In getting ready for high-pressure exams like Sri Lanka's Grade 5 Scholarship Examination, maintaining student engagement and emotional well-being remains a significant challenge. EDU-SENSE is an AI-driven web platform designed for primary education that integrates personalized content delivery, stress detection, and an emotion-aware chatbot. The system begins with a diagnostic pre-test to assess individual skill levels,and provides syllabus-aligned questions, and delivers targeted revision based on identified knowledge gaps. A s tress-aware module and motivational chatbot provide emotional support, while peer collaboration features promote teamwork and knowledge sharing. Using Machine Learning, Natural Language Processing, and fine-tuned Large Language Models, EDU-SENSE offers a holistic solution that enhances both academic performance and emotional well-being in young learners.enLarge Language ModelsMachine learningNatural Language ProcessingPeer collaborationStress detectionConference Paperdoi: 10.1109/ICAC69156.2025.11361431