Mobile phones and other electronic gadgets or devices have aided in collecting data without the need for data entry. This paper will specifically focus on Mobile health data. Mobile health data use mobile devices to gather clinical health data and track patient vitals in real-time. Our study is aimed to give decisions for small or big sports teams on whether one athlete good fit or not for a particular game with the compare several machine learning algorithms to predict human behavior and health using the data collected from mobile devices and sensors placed on patients. In this study, we have obtained the dataset from a similar study done on mhealth. The dataset contains vital signs recordings of ten volunteers from different backgrounds. They had to perform several physical activities with a sensor placed on their bodies. Our study used 5 machine learning algorithms (XGBoost, Naive Bayes, Decision Tree, Random Forest, and Logistic Regression) to analyze and predict human health behavior. XGBoost performed better compared to the other machine learning algorithms and achieved 95.2% accuracy, 99.5% in sensitivity, 99.5% in specificity, and 99.66% in F1 score. Our research indicated a promising future in mhealth being used to predict human behavior and further research and exploration need to be done for it to be available for commercial use specifically in the sports industry.

Artificial intelligence has recently made considerable strides and is currently applied in various fields, including sports. The sports sector is changing in numerous ways because to AI. The training process is becoming more effective and competitive as a result. Additionally, it aids in performance analysis and forecasting for athletes. The future of sports is changing and incorporating digital advancements in everything from performance analysis to scouting and recruitment. Artificial intelligence may boost performance as a player, whether a professional or an amateur, and the team's ability to win games.

In every field--health, education, marketing, production, and sports--AI has managed to outperform itself. The sports industry is being rapidly transformed by artificial intelligence, much like every other significant sector. AI has touched every sports aspect at the quantitative, statistical, and analytical levels. The sports market has grown significantly. Game nights have become very popular thanks to the crazed devotees who have brought in a lot of money.

From football to Formula 1, Artificial intelligence in sports is emerging all over the industry to strategize, train, advertise, and much more. AI has significantly impacted the way users view and consume sports content. It has made the world a smart place to live for sportsmen, advertisers, and broadcasters, with real-time statistics. In the foreseeable future, AI will change the ways of doing business, and while its influence has been prominent in several industries, the sports industry is new to this arrangement. Many coaches have started using data science in sports to enhance their player's performance.

The sports industry is thriving with better performances from athletes, higher fan engagement, and actionable sports insights by leveraging major disruptive technologies such as Artificial Intelligence, computer vision, Big Data, and many more. The emergence of IoT devices including wearable devices, smart machines, smart clothes, and many more have helped the sports industry to experience a drastic shift towards digital transformation. IoT devices have elevated the e-Sports industry as well as the online gambling industry. It is a massive success for the sports industry, especially in the coronavirus pandemic. This digital transformation has helped athletes to retain fitness under the strict control of respective coaches from a distance across the country or the world.

Data science is a principle of machine learning that uses several tools and algorithms to find patterns from raw data. This has become quite a buzz in the tech world and almost every industry uses it to leverage its business, even sports. Around 2.7 zettabytes of data are produced digitally which can be analyzed to make competitive strategies. You might not have heard about it because this field of education is not that popular yet. Most analysts who work in the sports industry either have a master's in maths or statistics and chose sports analytics as a minor specialization.

Data science is basically a blend of several tools, principles of machine learning, and algorithms in order to find patterns or trends from the raw data. You must be wondering how data science is different from data analysis. Well, a data analyst only focuses on decoding the patterns or trends from past data repositories. While a data scientist will first perform an exploratory data analysis then seeks help from several machine learning principles and algorithms to evaluate the probability of the occurrence of a particular event in the future. Data science is the future and is an integral part of almost all the industries, including sports.

The advent of technologies such as machine learning and artificial intelligence has turned our lives upside-down. By making machines behave, think, and act like human begins, artificial intelligence is changing the face of every industry, including sports. AI is bringing a radical transformation in sports like football/soccer, formula 1, and many others. The technology is being used for strategizing, training, advertising, broadcasting, and various other purposes. You are in the right place.

Whether we realise it or not, technology such as artificial intelligence and VR are already ubiquitous in our everyday lives. While the broader debate swirls around the extent that machines will replace human function, the underlying technology is already at work, altering the way we live and work. In many ways, the sports industry is at the cutting edge of this change. It has embraced technology to the point that many teams now rely on it to help them win games, improve players' ability and coaching, manage their operations as well as interact with their fans. The fourth industrial revolution is upon us, bringing with it unlimited insights from its interconnected everyday data.

Deep learning technology has impacted almost every other industry. Deep Learning is helping businesses associated with sports to expand. From NHL to MLB, NBA, NFL, and NASCAR, almost every major sports league in U.S.A is now incorporating AI to expand its business. According to Statista, the North American sports market is predicted to reach $80.3 billion in 2022. The revenue may come from merchandising, gate revenue, media rights, and sponsorships. There are many different areas in the sports industry, where AI plays an important role.