Age & Gender Prediction + Food Recommendation

A deep learning project that uses a Convolutional Neural Network to predict a person's age and gender from facial images, built on TensorFlow and Keras with OpenCV handling face detection in the preprocessing pipeline. Gender is predicted as a classification task while age is estimated via regression. As a bonus feature, a rule-based food recommendation system suggests nutritionally appropriate food once a face is classified into an age group — combining computer vision with a practical recommendation layer.