• Prachi Navale
• Snehal Marne
• Ritika Gupta
• Neha Bhavsar
• Tejasvita Vaidya

Amnesia is a lethal disease that causes loss of memory, facts, experiences thus, affecting the lifestyle of millions of people causing a significant impact on their independence. However, current solutions are overpriced or fail to provide ways to customize actions and alerts which can help the patient and their families. This study proposes a healthcare application named Amnecare that monitors people suffering from Amnesia by sending pill alerts, daily schedule with reminders, and locating the patient via real-time GPS tracking thus ensuring its safety. This application aims to help the patient by providing artificial intelligence-based face and voice recognition to remain connected. Furthermore, Amnecare provides a unique cost-efficient feature for patient security using an ESP32-cam which provides visitor identification.

Amnesia disease, Face Recognition, Voice Recognition, Mobile Application.

"AMNECARE: An Application using Machine Learning and IoT for monitoring elders suffering from Amnestic Syndrome", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.e509-e512, May-2021, Available :http://www.jetir.org/papers/JETIR2105607.pdf

"AMNECARE: An Application using Machine Learning and IoT for monitoring elders suffering from Amnestic Syndrome", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppe509-e512, May-2021, Available at : http://www.jetir.org/papers/JETIR2105607.pdf