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Face-Detection-using-OpenCV
In this I will show, how we can use python opencv image processing library to detect faces, draw rectangle around faces and crop faces in jupyter notebook.Gender-Detection-using-OpenCV
Gender detection is one of the popular computer vision applications. When you use a camera to detect a person’s gender instead of detecting it on a picture, it can be said to be a realtime gender detection system. I hope you liked this article on Realtime Gender Detection using Python. Feel free to ask your valuable questions in the comments section below.Covid-19-Detection-using-chest-X-Ray
In this project we detect Corona virus through chest x-ray. We have dataset of positive and negative x-ray images. So we use sequential model. If you give image of x-ray it will extract feature from it. Then on those feature it predict the result. Second model we trained is also sequential model in which we did the layers tunning.Bitcoin-price-prediction-using-machine-learning
Predicting the price of cryptocurrencies is one of the popular case studies in the data science community. The prices of stocks and cryptocurrencies don’t just depend on the number of people who buy or sell them. Today, the change in the prices of these investments also depends on the changes in the financial policies of the government regarding any cryptocurrency. The feelings of people towards a particular cryptocurrency or personality who directly or indirectly endorse a cryptocurrency also result in a huge buying and selling of a particular cryptocurrency, resulting in a change in prices.Real-time-Face-Detection-
In this project we detect faces in real time. I use open cv and harcascade.gamepython
game of chessMy-Calculator
LifeCycle_Activity
Watermark-Detection-using-InseptionResnetV2-
This algorithm detect watermark on images. The InceptionResnetV2 is used for detection purpose achieving a great testing accuracy. This model is used for many purposes like housing websites etc.Sops-Monitoring-and-Detection-Mask-and-Social-distancing-YoloV3
SOP’s Detection is a modern project in field of computer vision (image processing). Our goal is to detect the humans in the video that are not following the main two SOP’s which are social distancing and face mask. This is completed FYP project contain Frontend as well.Crack-Detection-using-Transfer-Learning-ResNet50-
This project is aimed at detecting cracks in images using transfer learning with ResNet50. This project uses a pre-trained ResNet50 model, which has been fine-tuned on a dataset of images containing cracks and non-cracks, to detect cracks in new images.Deep_Learning_BWF_Asad_Ullah
Faulty-Steel-Plates-Detection-using-Machine-Learning
The objective is to analyze the impact of luminosity, sigmoid of areas, pastry, stains, dirtiness, and bumps on defects of stainless-steel plates.Predict-age-gender-and-ethnicity-from-image-using-Deep-Learning
The proposed model is to predict a person's age, gender, and ethnicity with a grayscale image of that person.Asad-Ullah.github.io
A-S-A-D-ULLAH
Tweets-Classifications-using-Machine-Learning-and-NLP-techniques-
The goal of this project is to use machine learning algorithms and natural language processing techniques to categories tweets according to their topic. To categories tweets into one of four categories—sports and gaming, business and entrepreneurs, everyday life, and pop culture—we will use logistic regression and Naive Bayes classifiers.Love Open Source and this site? Check out how you can help us