Gender Detection Model using Keras

The Gender Detection (From Scratch) project utilizes deep learning techniques to develop a model capable of accurately predicting the gender of individuals based on facial images. The model is trained on a dataset of approximately 2,200 face images using the Keras framework and cvlib library. It achieves a training accuracy of around 96% and a validation accuracy of approximately 90% on a separate validation dataset. The saved model can be used for gender prediction on new images using Flask.