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Under this machine learning project, first the one or more than one faces from the image are extracted using google's cascade classfier. The extracted faces are cropped and then preprocessed into green scaled pixel values which is then fed into keras sequential model. The trained model is integrated with user interface with the help of flask.

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sachinraghult/Gender-and-Age-Detection-using-CNN

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Gender-and-Age-Detection-using-CNN

Age and Gender Detection of the detected face images from the source image using convolution networks, and deployed with front end using flask in heroku

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Under this machine learning project, first the one or more than one faces from the image are extracted using google's cascade classfier. The extracted faces are cropped and then preprocessed into green scaled pixel values which is then fed into keras sequential model. The trained model is integrated with user interface with the help of flask.

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