Yoga is an ancient Indian art which helps to distress and purge the mind, body and soul. It is known to be a complete cure for various illnesses without the use of medicines. The paper aims to describe a project which is used to help naïve users to perform this ancient Indian art correctly in order to maximize the benefits. It makes use of the SURF algorithm to detect the 'asana' that the user/practitioner is performing and compares it with a video of the same 'asana' performed by an expert. Thus, it helps to detect and eventually correct errors induced in practicing the art using only a webcam and an expert video as aides for the user.

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Risk is involved in every construction project. Residential building construction projects comprise a variety of risks and are more likely to be affected due to their difficulty and many operations and threats. The study aims to identify the various risk elements and their effect on construction projects of residential buildings using a fuzzy approach with the help of MATLAB software. This study includes 60 risk factors recognised through an expert opinion and literature review. These factors are categorised into 7 major groups, i.e., construction, project manager, architect/consultant, contractor, owner, resources, and external environment-specific risk factors. A questionnaire was prepared and sent using emails based on the identified risk factors to be filled out by construction industry professionals in India and by conducting in-person interviews. Based on the risk severities obtained from the fuzzy model, the top 10 risk factors have been considered. As a result, for identified top severe risk factors, a significant risk response strategy was implemented.