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Professional Data Enthusiast with hands-on experience in Data Analytics and visualization for more than one year, including Business intelligence, Databases, Data Warehouse (DWH), Extract Transform Load (ETL), Data Science, and Statistics, Computer Vision, Natural Language Processing (NLP). Leverage all of them to provide data-driven solutions to help decision-makers
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Graduated from Computer Science & Artifactual Intelligence at Helwan University, I worked on many projects and investigated a variety of datasets in different industries to explore historical data and help to improve their sales and answer their questions and support their decisions by emphasizing my analytics with some insights, Data Mining, and Machine Learning techniques like regression models, time series and association role in the market basket.
abdelrhman2022 / face-mask-detection Goto Github PK
View Code? Open in Web Editor NEWThis project uses a Deep Neural Network, more specifically a Convolutional Neural Network, to differentiate between images of people with and without masks. The CNN manages to get an accuracy of 99.38% on the training set and 99.44% on the test set. Then the stored weights of this CNN are used to classify as mask or no mask, in real time, using OpenCV. With the webcam capturing the video, the frames are preprocessed and and fed to the model to accomplish this task. The model works efficiently with no apparent lag time between wearing/removing mask and display of prediction.