The requirement of human beings always brings new concepts and designs to the world. A preowned market is one such important need of the present modern arena. The preowned market has grabbed customers' attention since the trend of exchanging goods without any money was introduced. If we look closely, this concept was initially implemented by the Mughal emperors, which regained attention. There are many reasons this resale market is worthy enough, the best alternative and excellent competition for the new manufacturing units. This preowned market is not only best given economic reasons but also impactful for social and ethical reasons. Among many preowned markets in India, the preowned automobile industry has gained an excellent market in a concise period. The regular transfer of individuals and continuously and drastically changing technology is the primary reason behind the increased preowned automotive market. Another essential reason is expendable income and accessible financial support from various agencies, specifically for pre-owned cars. Considering the rapid increment in the preowned car market, this company analysis article investigates one of the significant trending companies called CARS24 in the preowned car market. This study is based on various surveys and analyses from different customers and showrooms. This analysis also considers the cumulative findings and suggestions to overcome the present problems related to preowned cars.

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Purpose: Biometric trends are used in many systems because of security aspects. The cryptosystem is such an example which uses a biometric. But due to stored biometric data for the authentication, this can be a dangerous issue. Therefore, in comparison to conventional used biometric system, voice biometric system provides an efficient safety, security and unique identity. Among various speech recognition or processing methods, there is one called automated speech conversion methods, which also used to convert the recorded voice into text format. The overall concept of voice reorganization and voice biometric system is based on the acoustic modelling. Therefore, for getting the perfect speech detection, robust acoustic modelling is required. Our analysis describes the advancement and usage of voice biometric system for user identification and authentication. This paper provides a descriptive review of different voice biometric systems, their advancement and applications in different fields. Methodology: The core principles of the research issue have been well discussed in the literature review on speech biometrics. During this process, selected journals from a variety of secondary data sources, such as research papers published in a variety of reputed journals periodicals that are related to the topic are studied in the methodology. Findings/Result: A vocal biometric system is a biological system that captures an individual's voice and assigns it a unique characteristic for authentication purposes. This speech biometric method is primarily used to provide secure, quick, and frictionless access to various electronic devices. In the last three years, rapid technological advancements in neural networks have improved the deployment of speech biometric systems in a variety of industries. The majority of speech biometric system designs are based on the CPU, necessary power, and memory concepts. The advancement of software and hardware interface has been dramatically enhanced and implemented for many applications in the last few years, including smart watches, mobile phones, and car locking systems, where the interface between humans and electronics devices is critical. Banking security, attendance system, file access system, security control, and forensic development system are some of the other commercial applications. Originality: Following the literature study, the findings were utilized to conclude that, despite advances in biometric technology, there is still a significant gap in practical application, particularly for voice biometric systems. When building and developing a voice biometric system, it is necessary to integrate it with an IoT system. Paper Type: Literature Review.

Smart farming is a type of technology that focuses on allowing agricultural businesses to utilize advanced technology – such as smart sensors, the cloud, and the internet of things (IoT) to measure, monitor, automate, and analyze activities. Precision farming is another term for smart farming. Software controls it, and sensors keep an eye on it. Smart farming is becoming increasingly important as the demand for higher crop yields, the need to use natural resources efficiently, the increasing use and sophistication of information and communication technology, and the growing need for climate-smart agriculture all contribute to its rise in importance. In this paper, a smart irrigation system is demonstrated utilizing the Node MCU and the Internet of Things with cloud technologies. Online Adafruit IO Cloud Service is used for cloud services.

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