Nowadays, every manufacturer or retailer displays their product information on various websites. The customer has to visit, the number of such web pages to choose the right product, because the information is not available at one place. There are some websites that show such information in one place, but they are product speci¯c and in general information is manually updated. In this paper, we propose a novel concept of web-spreadsheet, which displays product information by crawling through related web pages and generates information like a spreadsheet where each row represents product information and each column represents product attributes. We are extracting the product name of speci¯ed product class using decision tree-based classi¯er by features obtained using Part of Speech (POS) tagging and distance measure. It also extracts the value-measure pairs of preset attributes using distance measure, POS tagging and Data type. This approach will save a lot of time of comparing di®erent products and customers need not have to scan a number of websites for comparison. We present promising results in various product classes which surpass many existing techniques in the literature. The proposed method can work accurately without initial trained labeled data which is expensive to obtain.

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A development of an orchestrator that manages multiusers and shared resources is extremely useful for automaton of jobs on the multiple machines. Many companies such as UiPath, Blue Prism, Automation Anywhere, etc. have their own orchestrator, but their orchestration services have some drawbacks (i.e., huge cost of yearly subscription, lack of user defined flexibility in architecture, and third-party security issues). The manuscript contains the design and analysis of orchestrator using open-source programming language and cloud platform (i.e., Python and OpenStack). The main focus of this paper is design and development of the orchestrator with shared resources and distribute environment management system that help to manage the multiuser, multi-machine environment in an efficient way. The overall examination delights that design and development of inhouse orchestrator application using open-source assets is not only useful in terms of colossal expense slicing, but also the development of free and flexible robotic process automation applications.

Technology has now advanced enough for us to sit in front of our personal computer that can feel and monitor human feelings known as "BLUE EYE TECHNOLOGY." The devices which are used in this technology can detect the emotional level of the human body, such as facial and voice recognition, etc. The equipment used in Blue Eye Technologies is capable of recognizing human movements, checks our personality, senses our presents, and begins to communicate with us. In today's world, HealthCare has become one of the essential things in our life. But, the traditional healthcare system faces various problems, especially in the COVID-19 pandemic. Different challenges are faced by the HealthCare domain like scarcity of HealthCare professionals in hospitals; very expensive treatment, lack of healthcare knowledge, and Manual monitoring of patient's health parameters. In this paper, a remote patient monitoring system is proposed which can monitor patients remotely using Blue Eye Technology and IoT. Doctors can monitor effectively patient's moods and emotions (such as sad, joyful, and surprised) by utilizing the Emotion Sensory System of Blue Eye Technology as well as extract Physiological information of the patients such as Blood Pressure, Heart Rate, Temperature, ECG, etc. This information is effectively used by the Doctors for diagnosis and proper treatment of patients.