Volume 7, Issue 12, December – 2022 International Journal of Innovative Science and Research Technology ISSN No:-2456-2165 IJISRT22DEC763 www.ijisrt.com 188 Physical Exertion Detection (Using Machine Learning and IOT) Nandini Sunil Mutha Dept. of Information Technology Sinhgad College of Engineering Vadgaon BK, Pune, Maharashtra, India Devyani Nitin Mahajan(Author) Dept. of Information Technology Sinhgad College of Engineering Vadgaon BK, Pune, Maharashtra, India Rutuja Shatrughna Mandhare Dept. of Information Technology Sinhgad College of Engineering Vadgaon BK, Pune, Maharashtra, India Omkar Rajesh Dukare Dept. of Information Technology Sinhgad College of Engineering Vadgaon BK, Pune, Maharashtra, India Prof. Tejal. H. Patil Dept. of Information Technology Sinhgad College of Engineering Vadgaon BK, Pune, Maharashtra, India Abstract:- With the advancement of technology, we are able to use Arduino in this project to digitally sense body temperature and heart rate. Arduino is primarily used because it has the ability to perceive its surroundings by receiving data from various sensors and change it by controlling lights, motors and other actuators. Arduino programming language is used to program the microcontroller of the board. The goal of this work is to develop a system that can remotely monitor body temperature and heart rate in real time with the measurement results displayed on a web server. This research involves a number of phases, including the generation of research hypotheses based on literature reviews and the design of a hardware and software system. Keywords:- Arduino, Sensor, SVM Classifier, Feature Extraction, Pre-Processing I. INTRODUCTION Nowadays, the cause of unhealthy human lifestyle is based on many factors such as irregular eating habits, no diet, environmental pollution, lack of proper exercise, work on indefinitely, restlessness and increases stress levels, leading to greater disaster in human health. In many countries, the percentage is nearly 40% of children, middle-aged people and working women are affected by an unhealthy lifestyle. Due to the busy schedule in our daily life, we rarely have time to focus on our health, resulting in various health risks. Also, it would be difficult for the doctor to monitor the patient continuously. It is also a bit difficult for an individual patient to monitor their health status and get advice from a doctor. Existing healthcare application systems, such as, patient monitoring systems, health management systems are not up to par in providing sufficient information or services to patients. Nowadays, people are suffering from various forms of diseases and many health issues such as CHF (Chronic Heart Failure) are normal in the aged people. CHF is the responsible for hospitalization especially in older adults with a habitualness of 1.3%, 1.5, and 8.4% in the 55–64, 64–74, and 75 and older segments, respectively. Hospital staff face serious difficulties when faced with the task of caring for multiple patients at the same time. Problems like waiting in queue, travel schedule, patient transfer, waiting for doctor etc. are some of the problems faced by the patients. In an emergency, the situation may worsen. 24/7 monitoring of a critical patient is very important to reduce the risk of life threatening. In this situation, our app has had a big impact on healthcare services. It also reduces hospital operating costs. In medical science, this application has several advantages, such as ease of use, reduced risk of infection, and increased mobility. Using this system, it is very easy to monitor several patients at the same time. A physical effort detection system has been designed that is capable of performing various types of functions within frame time, accuracy and cost. This system is cheap and can be controlled remotely. The biological factors of the patients are detected by a sensor. Using the sensor with Arduino made the physical effort detection system more efficient. Using various machine learning algorithms such as wavelet transform, low pass and support vector machine (SVM), the input is processed and classified for the desired output. In this situation, our app has had a big impact on healthcare services. II. BACKGROUND Advances in medical technology are rapidly changing the e-health system. Today, advanced medical technology contributes greatly to our lives. This will help improve and save countless lives around the world. Medical technology is a broad field where renaming plays an important role in improving health. According to the World Health Organization, the impact of physical fatigue on human health has increased in recent years. “Fatigue” has been described as a risk for construction accidents in several studies, but little attention has been paid to this risk. Fatigue affects worker