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Classification of covid-19 in lung images
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. It is critical to detect the positive cases as early as possible so as to prevent the further spread of this epidemic and to quickly treat affected patients. The need for auxiliary diagnostic tools has increased as there are no accurate automated toolkits available. Recent findings obtained using radiology imaging techniques suggest that such images contain salient information about the COVID-19 virus. Application of advanced artificial intelligence (AI) techniques coupled with radiological imaging can be helpful for the accurate detection of this disease, and can also be assistive to overcome the problem of a lack of specialized physicians in remote villages.
Attendnce system during covid-19
Authentication system has become a hot topic in the field of security, one of the most interested methods of authentication systems is the radio frequency identity (RFID) which is used in this project to build a smart record attendance system that contains many features, one of it to determine whether the student is wearing a mask or not by using Deep Learning algorithms, another feature is the student's temperature measurement through an electronic sensor. The results obtained are processed and stored by the processing unit which is the Raspberry pi then display the data on a mobile application.
