COVID-19 Detection from Chest X-Ray Image using Deep Convolutional Neural Network
2019 is the year when the novel coronavirus scientifically known as SARS-Cov-2, spread
drastically all over the world, killing millions of people worldwide. No effective antivirus has yet
to be discovered. Detecting the virus is crucial for preventing unfortunate deaths. This research
proposes a deep convolutional neural network-based model that achieves high accuracy and low
false-positive rate for detecting covid-19 from a chest x-ray image.
High Performance Optical Character Recognition (OCR) Software for Digitizing Bengali Literature
Bengali, a widely used language spoken by more than 230 million people worldwide,
has a huge inheritance in terms of literature. Almost all of those literature is not digitized. To
preserve those literature, and make the information indexed, we need an Optical Character
Recognition (OCR) software with high accuracy, so that these literatures can be digitized and
make that information available for the mass people. This research aims at fulfilling this
objective as almost no good OCR software is present for Bangla Language.