Photo by Denis Dmitriev on YouTube Digit recognition is a procedure adopted by machines to recognize handwritten digits. In the real-world online recognition of digits is done by machine to recognize bank cheque amounts, evaluating numbers filled up hands-on various documents like tax forms, and so on. A difficulty in the case of handwriting digits is …
Pytorch Mnist Vision App for TinyML devices using cAInvas Read More »
Photo by Jay Mike Tee on Giphy Mute and deaf people communicate entirely with the American Sign Language (ASL) in the United States and Canada. Originating in the 19th century, this language system has evolved significantly over time, relying mostly on hand movements. However, the knowledge of sign language is usually limited to the deaf community …
Nowadays we are well aware of the fact that if social media platforms are not handled carefully then they can create chaos in the world. One of the problems faced on these platforms are usage of Hate Speech and Offensive Language. Usage of such Language often results in fights, crimes or sometimes riots at worst. …
Recognize common gestures using the accelerometer and gyroscope sensors and use the same in implementing a home automation system. Photo by Marco Coppeto on Dribbble and Matt Harvey on Vimeo TinyML – A gesture is the movement of the hand to express an idea or meaning. There are various ways of reading a gesture. The aim …
Gesture recognition using TinyML devices — home automation applications Read More »
Photo by Diana Pasternak on Dribbble Heart disease refers to any condition affecting the heart. There are many types, some of which are preventable. Share on Pinterest mikroman6/Getty Images. Unlike a cardiovascular disease, which includes problems with the entire circulatory system, heart disease affects only the heart. This project will focus on predicting heart disease using …
Photo by Joe Le Huquet on Dribbble Resume Screening is necessary when companies receive thousands of applications for different roles and need to find suitable matches. For this project, the dataset originally consists of 2 columns — Category and Resume, where the Category denotes the field (eg: Data Science, HR, Testing etc.). By using the resume as an …