The expert intelligent system is introduced to develop hardware fault detection for any computer system. Different hardware system or electronics devices usually face application fault as well as hardware fault. This application oriented formal reasoning applies to determine the problem in computer system. This paper emphasizes an automated system that accepts the defects of any system and then after consulting with an intelligent database, diagnoses and advises for probable rectification. This is the extensions of the already published work by the authors implemented by Turbo Prolog programming language. This paper extends that concept exploring the boundary of Expert System targeting the implementation using Object Oriented web based programming approach. It proposes lot of new technological changes and in

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Machine learning is a popular approach in the field of healthcare. Healthcare is an important industry that provides service to millions of people and as well as at the same time becoming top revenue earners in many countries. Machine learning in healthcare helps to analyze thousands of different data points and suggest outcomes, provide timely risk factors, optimize resource allocation. Machine learning is playing a critical role in patient care, billing processing to set the target to marketing and sales team, and medical records for patient monitoring and readmission, etc. Machine learning is allowing healthcare specialists to develop alternate staffing models, intellectual property management, and using the most effective way to capitalize on developed intellectual property assets. Machine learning approaches provide smart healthcare and reduce administrative and supply costs. Today healthcare industry is committed to deliver quality, value, and satisfactory outcomes.

Human civilisation is observing a very strange and serious time fighting an invisible disastrous enemy, the NOVEL COVID -19 corona virus. Initially observed in the Wuhan province of China, its symptoms range from mild illness to pneumonia. Here we design an IoT based device which can detect the subsistence of this virus presumably based on certain framework of body components. In this context we summarized the latest research process of epidemiology, pathogenesis, clinical sensing and discussed some scientific advancement to combat the epidemic novel COVID -19. This paper proposes a design of an IoT based device which can detect the subsistence of this virus presumably based on certain framework of body components. Presence of corona virus in human body may be detected by measuring an individual’s body temperature with the help of temperature sensors. RQ or respiratory quotient will be used as another determining principle to detect corona virus. Analysis of blood samples also tells us the difference between an infected and a normal sample. From analysing the blood sample we can easily determine the total leukocyte count whereas an infected person can have an abnormal leukocyte count. We can access the data over the wifi and over the internet. Some parts of the device like the breathalyzer will be sanitized automatically and injection needles will be loaded automatically after one use and is convenient for proper detection as it analyses the three components of a. So commercially it would be economically reliable product.