The project focuses on detecting gender and age using OpenCV, with programming done in Python. The projected gender is one of "Male" or "Female," and the predicted age is in the range. Components included: - Neural Network - Supervised Learning (Classification) - Machine Learning Libraries-Keras, Tensorflow - Data Visualization - Matplotlib, Seaborn - Data Processing - Numpy, Pandas

12. Overall Model Accuracy is
53.73%. We can say that
model is not very good, but we
can improve its performance
through more dataset training.