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The virtual instrumentation is in great demand now a day due to its flexibility as well as cost-effectiveness. Lab VIEW is a great platform in which one can design virtual instruments. This article deals with the design of the virtual biosignal analyzer. This analyzer has been mainly designed for academic purpose. It can be used by industries for understanding the biosignals as well as to find out which filters are best suited for filtering the biosignals. This analyzer consists of the various virtual instrument applications which deal with the analysis of biosignals like ECG, EMG, and EEG. So that the students, professionals as well as industrialists can understand which filter or which analysis is best suited for the particular biosignals, which can help them to design the real-time instrument. The purpose of this article is to provide the virtual toolkit to the professional working in this field so that an accurate real-time instrument can be designed.

Electric poles have been same from past 10 years. No advancement of technology was observed, except the transition from Sodium lamps to LED. While due to its availability and locational advantages, it could provide many fruitful solutions to many current problems we face. Yet the current generation street poles require high maintenance as well as are sometimes unable to perform the sole objective they were meant to. The proposed system aims to develops and upgrade the approach towards the smart pole and integrates into a complete system with multiple functionality and modularity. A better efficiency, better lighting and better interface and interaction are the sole objective of this newly proposed system. It will also address problem of stray animals camping around the poles, which are rarely addressed in yet significantly contribute to street problems we face. The proposed system proposes an autodetection and even effective way of reporting and resolving of issues. If we are talking about Smart city, every element of it has to be made smart.

WHO data shows that half of the people in the world suffer due to basic health care needs as there are not enough medical facilities available in many parts of the world. It is difficult for the refugees to have all the basic health care needs and not enough doctors available for primary diagnosis. To diagnose the person there are many methods by which the doctor can predict what type disease one might be suffering from. One of those factors includes the first diagnosis done by just observing the tongue, as it’s the only visible part of the body and one of the factors which helps for primary diagnosis and widely accepted by doctors in TCM, diagnosis. It addresses for an aid to people to do primary diagnosis from tongue using AI device, like Raspberry Pi with camera, which is trained using tongue dataset of different types of tongue images like strawberry tongue, Black tongue, normal tongue, Red tongue, Swallowed tongue etc. for various symptoms of various diseases to identify the type of the tongue and based on that it will generate the prescription. The proposed research work is based on the edge computing and does not need any internet or cloud support and best suitable for installing as portable kiosk in affected areas where primary medical facility is not available. The report generated by system has primary predicted suggestions based on the tongue diagnosis using AI