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Animals are also susceptible to Covid-19, a virus that spreads rapidly and infects both humans and animals. This deadly viral disease affects people's daily lives, health and economy of a country. COVID-19 is spreading widely. According to clinical research on people infected with COVID-19, most of these patients develop lung infections due to contact with the disease. A chest CT scan and a chest X-ray (also called a chest radiograph) are two better imaging methods for detecting lung-related problems. However, a chest X-ray is a less expensive procedure than a chest CT scan. The most effective machine learning method is deep learning, which provides insightful analysis of examining large numbers of chest X-ray images that can have a significant impact on Covid-19 screening. Both patients with COVID-19 and healthy individuals received chest X-rays from a PA perspective. We used deep learning- based CNN models and compared their performance after image cleaning and data augmentation

The scope of our project is to control a music player using human gestures. This employs a camera along with an embedded system to segment human gestures and convert them to control signals in real-time. With the help of the Music Controller, one can simply wave or do a simple gesture of hand movement in front of the webcam which will in turn switch or pause the particular music track that was being played. Our project mainly focuses on scenarios where we are multitasking that is working on many applications at a time or running various programs at a time on our desktop and along with that listening to music in background that is music being played in one of the windows. At such times if we wish to pause or switch a particular music track we have to make some movements like switching to the music window and doing the desired operation. With the help of Music Controller, one can simply wave or do a simple gesture of hand movement in front of the webcam which will in turn switch or pause the particular music track that was being played.

The outrage of the COVID-19 has hit the healthcare industry tremendously. This pandemic has created a huge demand for necessary medical equipment, medicines, advanced requirement robots, and artificial intelligence-based applications. Intelligent robots have great potential to provide diagnostic risk assessment, monitoring, telehealth, disinfection, and other services other operations. The long-awaited vaccine discovery of this virus has also been greatly accelerated by the AI-enabled tool. Also, many robotic and Robotic Process Automation platforms have greatly facilitated the distribution of the vaccine. cutting edges technology have also helped brings comfort to people facing less addressed health complication. This paper investigates the use of robotics and artificial intelligence-based technology and their applications in healthcare to fight against the COVID-19 pandemic.

Cloud capacity administrations have gotten to be progressively well known. Since of the significance of security, numerous cloud capacity encryption plans have been proposed to ensure information from those who don't have get to. Cloud computing is one of the up and coming advances that will overhaul the era of the web. The information put away within the smartphones is expanded as more applications are sent and executed. The client can store information within the server and recover them at any time and from anyplace. This paper gives the consider on cloud storage. It incorporates the working of cloud storage, its sorts and architecture, characteristics, advantages and impediments.