CNN Architecture

Fall Detection using CNN architecture

Photo by Julien Laureau on Dribbble Introduction Fall detection is major problem in healthcare. Old people fall often and there should be immediate aid for them as injury can be series, even lead to the death. In this project, we will use Convolutional Neural Network architecture to detect whether a person has fallen or not in …

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Tomato Disease Detection with CNN Architecture

Photo by Jonas Mosesson on Dribbble Introduction Tomato Disease Detection with CNN Architecture – The aim of this project is to identify various diseases on tomatoes based on their leaves. It is very important in agriculture to identify diseases immediately. To detect the problem in real time, we develop Deep Learning model that can be installed …

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Heart Disease Prediction using Neural Networks

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 …

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Resume Screening using Deep Learning on Cainvas

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 …

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