Day after day the world stuck more and more in wars, pollution and so many other risk that threaten the environment. With a population of more than 7.3 billion, the planet suffers from continuous damage from human activity. As a result of these human distortions, climate change is one of the most fatal challenges that face the world. Climate Change won't be stopped or slowed by a single action, but with the help of too many small contributions from different fields, it will have an impressive impact. Changing to electricity generation, manufacturing, and transportation generate most headlines, but the technology field can also play a critical role. The Internet of Things (IoT) in particular, has the potential to reduce greenhouse emissions and help slow the rise of global temperatures. IoT includes more than super brilliant new gadgets and smart widgets. It also influences the Earth's condition, from its available resources to its climate. In this paper we are showing that technology itself could be the tool will save the world if we take advantage of it. Environmental monitoring is a broad application for the Internet of Things (IoT). It involves everything from watching levels of ozone in a meat packing facility to watching national forests for smoke. These solutions are the first step toward creating a numerous connected infrastructures to support innovative services, better flexibility and efficiency. We also make a spot on Industrial Internet of Things (IIoT) and its challenges as the future is for it.

Smartphones now play an important role in our daily lives. It has made life simpler and easier for everyone with various social, commercial, problem-solving, educational, and marketing apps... etc., and in light of the need for social distancing following Covid-19, we have designed a system that addresses the problem of student and employee attendance in various institutions. They were utilizing a paper-based approach to keep track of their attendance. The suggested system is an Internet of Things (IoT)-based attendance system that makes use of the IEEE 2413 Standard for an Architectural Framework for the Internet of Things (IoT) (Face recognition -Fingerprint -QR code). Our system may be used in two sorts of organizations: the first is for businesses, where attendance is recorded using one of two characteristics (Face recognition or fingerprint), and the system is also designed to manage employee working hours. The second system is for educational institutions, and it is responsible for managing and analyzing all students' attendance. For pupils to take attendance, a (Face recognition& QR code) will be provided. The professor is in charge of determining whether or not all of the pupils in the group or class are present. To authenticate their attendance and exit, users will only need their smartphones.

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Nowadays, smartphones play a significant role in our daily life. It has made life of every person simple and easier with different social, commercial, problem solving, educational and marketing apps etc., and in view of the necessity of social distancing after Covid-19, we have designed a system that deals with problem of attendance of students and employees in different institutions. Which they were using the paper purposed system to register their attendance. The proposed system is an attendance system based on the Internet of Things (IOT) technology, through the use of (Face ID -Fingerprint -QR code). Our system can be used in two types of organizations, the first one is for companies, and the attendance is registered through one of the available two features (Face ID or Fingerprint), and the system is also designed to control employee working hours. The second one is for educational institutions, and the system deals with managing and evaluating the attendance of all students. A (Face ID & QR code) will be provided for students to take their attendance. The professor is responsible for determining the attendance of all students of the group or class. Users will need nothing more than their smartphone to confirm their attendance and departure