International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 04 | Apr 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1526 VOICE RECOGNITION BASED MEDI ASSISTANT Prof. Smitha 1 , Mr. Abin V V 2 , Mr. Deviprasad 3 , Mr. Srijan R Mahale 4 , Mr. Vishal 5 , Ms. Shreya K 6 1 Asst. Professor, Dept. of CSE, YIT Moodbidri, Mangalore, Karnataka, India 2,3,4,5,6 B.E Student, Dept. of CSE, YIT Moodbidri, Mangalore, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The "VOICE RECOGNITION BASED MEDI ASSISTANT" promises to improve healthcare through a paradigm for hands-free and eye-free interaction. However, little is known about the problems encountered during development of system especially for the elderly health-related work. To solve this let's look at maintenance delivery method and QoL improvement for the elderly. finally, identified key design challenges and opportunities can occur when integrating voice-based interactions virtual assistant (IVA) in the life of the elderly. our findings will help practitioners conducting research and research. development of intelligent devices utilizing his full-fledged IVA provide better care and support a better quality of life because of the aging population. Key Words: Interactive Virtual Assistant(IVA), Medi assistant, Chatbot, 1.INTRODUCTION The aging of the population was seen as a global problem in the 21st century approach for improving healthcare and life routine management resulting in an improvement in quality of life QoL however obtaining and utilising such breakthrough technologies is frequently difficult for ageing folks who are frequently left behind while numerous systems such as Electronic Health Record (HER) and Patient Portals (PPS) have been widely used to improve health data management and patient provider communications it is difficult for ageing populations with multiple comorbidities to adopt learn and interact with such tools which can only be accessed through graphical user interfaces guis on desktops and mobile devices. the concept of this simple but efficient project emerged out of the need to overcome this fear of the driver and other road users if they are properly implemented overall this simple device could help reduce the 40-0 at some point in the future. Intelligent Virtual Assistants (IVAs) based on voice allow users to naturally engage with digital systems while remaining hands-free and eye-free. As a result, they are the next game changer for future healthcare, particularly among the elderly. With the rising acceptance of IVAs, research have examined how older persons use existing IVA features in smart speakers to enhance their daily routines, as well as potential impediments preventing their adoption. While these findings mostly focused on older adults' experiences with existing IVA features on a single type of smart-home device, practical demands, challenges, and design strategies for incorporating these devices into older persons' daily lives remain unexplored. Furthermore, while the quality of healthcare delivery and QoL enhancement are controlled by both care providers and patients, previous research solely focused on the patient experience, leaving a huge gap between provider expectations and quality of care delivery. 1.1 Objective Of Research The goal of research for a voice and machine learning-based medical assistant is to create a reliable system that can help medical professionals diagnose and treat patients, give patients personalized health advice, automate administrative tasks, enhance medical transcription and documentation, and improve the patient experience overall. 2. LITERATURE REVIEW [1] Angel-Echo: A Personalized Health Care Application. Mengxuan Ma, Karen Ai, and Jordan Hubbard are the authors : Technology is continually breaking new ground in health care by providing new avenues for medical personnel to care for their patients. Health data can now be collected remotely without limiting patients' independence, thanks to the development of wearable sensors and upgraded types of wireless communication such as Bluetooth low energy (BLE) connectivity. Interactive speech interfaces, such as the Amazon Echo, make it simple for those with less technological skills to access a range of data by utilising voice requests, making communicating with technology easier. Wearable sensors, such as the Angel Sensor, in conjunction with voice interactive devices, such as the Amazon Echo, have enabled the creation of applications that allow for simple user involvement. We propose a smart application that monitors health status by integrating the Angel sensor's data collection capabilities and the Amazon Echo's voice interface capabilities. We also give Amazon Echo voice recognition test results for various populations.