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BACKGROUND: The modern Internet of Things (IoT) makes small devices that can sense, process, interact, connect devices, and other sensors ready to understand the environment. IoT technologies and intelligent health apps have multiplied. The main challenges in the sports environment are playing without injuries and healthily. OBJECTIVE: In this paper the Internet of Things-based Smart Wearable System (IoT-SWS) is introduced for monitoring sports person activity to improve sports person health and performance in a healthy way. METHOD: Wearable systems are commonly used to capture individual sports details on a real-time basis. Collecting data from wearable devices and IoT technologies can help organizations learn how to optimize in-game strategies, identify opponents’ vulnerabilities, and make smarter draft choices and trading decisions for a sportsperson. RESULTS: The experimental result shows that IoT-SWS achieve the highest accuracy of 98.22% and efficient in predicting the sports person’s health to improve sports person performance reliably.

Ecology empowers the environment and is critical to human prosperity and well-being. It offers an innovative approachto the interconnectivity between humans and nature, crucial to food security, clean air and water, and conservation sustainability in a changing world. A selection of literary texts from fiction, poetry, and drama is read and answered in literature. They learn to value words and their strength, journey through the texts into other worlds and ages, understand their society and others, and learn to experience character, joy, and pain.Ecocriticism analyses the relationship between literature and ecology and their synthesis. It is an interdisciplinary study of ecology and literature unique as a synthesis of science and humanism. Machine learning methods are gradually becoming applied science, a significant branch of artificial intelligence.It is suggested that potential machine learning apps in ecocriticism can become an even more appealing platform in the face of "big data" and can soon open up new ways of study to further data such as sound and picture.The concept and role of ecocriticism of Artificial Intelligence (AI)are discussed in these reports. By comparison, the AI-Ecocriticism (AI-EC) framework covers the literature-ecological interactions or how literature reflects the physical world. In a period in which automated population and environment tracking produce many data that human beings can no longer analyze, machine learning could become a requirement.The ecology score and the carbon footprint of the particular area are analyzed and reported that ecology score marked 18% average in the last 50 years and carbon footprint reduced remarkably.