Authors S. Udhaya ShankarDepartment of Electronics and Communication Engineering, Paavai Engineering College, Namakkal, Tamilnadu, IndiaN. VijayalakshmiDepartment of Electronics and Communication Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India Abstract For people who have been are suffering from epileptic seizures, a real time system is developed which is helpful in detecting such cases, is smart epilepsy detection and alert system is an advanced technology by which we have developed a electronic gadget. Using that kit we can save the life of the person who is really effecting with the condition. It will do the help in both the ways means not only checks the condition but also sends an SMS to the concerned doctor for the patient’s live saving sake. The main aim of the project is to provide a electronic gadget for the epilepsy patients to protect themselves from the seizures and heart attacks. Not only will that it also intimate the respective doctors about the patient’s condition. Keywords IoT in Healthcare Patient Monitoring System Machine Learning for Seizure Detection Artificial Intelligence in Healthcare Neurological Disorder Detection Remote Health Monitoring Emergency Alert System Citation of this Article S. Udhaya Shankar, & N. Vijayalakshmi. (2026). Realtime Epileptic Seizures Detection and Alert System. International Current Journal of Engineering and Science (ICJES), 5(3), 11-15. Article DOI: https://doi.org/10.47001/ICJES/2026.503003 Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence. References J. F. Annegers and S. P. Coan, "SUDEP: Overview of definitions and review of incidence data," Seizure: European Journal of Epilepsy, vol. 8,(6), pp. 347-352, 1999.O. Devinsky, "Sudden, unexpected death in epilepsy," New England Journal of Medicine, vol. 365, no. 19, pp. 1801-1811, 2011.S. Beniczky, T. Polster, T. W. Kjaer, and H. Hjalgrim, "Detection of generalized tonic-clonic seizures by a wireless wrist accelerometer: A prospective, multicenter study," Epilepsia, vol. 54(4), pp. 58-61, 2013.K. V. Poppel, S. P. Fulton, A. McGregor, M. Ellis, A. Patters, and J. Wheless, "Prospective Study of the Emfit Movement Monitor," J Child Neurol, vol. 00(0), pp. 1-3, 2013.S. Gouravajhala, D. Wang, L. Khuon, and F. Bao, "EpSMART: Epileptic seizure monitoring with alerts in real time: A tablet-based Android application for a real-time multi-modal seizure detection system," in Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on, 2012, pp. 959-961.K. Cuppens, B. Vanrumste, B. Ceulemans, L. Lagae, and S. Van Huf-fel, "Detection of epileptic seizures using video data," in Intelligent Environments (IE), 2010 Sixth International Conference on, 2010, pp. 372-373.M.-Z. Poh, T. Loddenkemper, C. Reinsberger, N. C. Swenson, S. Goyal, M. C. Sabtala, J. R. Madsen, and R. W. Picard, "Convulsive seizure detection using a wrist-worn electrodermal activity and accelerometry biosensor," Epilepsia, vol. 53, no. 5, pp. 93-97, 2012.F. Masse, J. Penders, A. Serteyn, M. van Bussel, and J. Arends, "Miniaturized wireless ECG-monitor for real-time detection of epileptic seizures," in Wireless Health 2010, ser. WH ' 10. New York, NY, USA: ACM, 2010, pp. 111-117.G. de Bruijne, P. Sommen, and R. Aarts, "Detection of epileptic seizures through audio classification," in 4th European Congress of the International Federation for Medical and Biological Engineering (IFMBE), 2008.