Emotion Detection with Deep Learning

an Emotion Detection System that recognizes human emotions directly from facial images.

Built using TensorFlow, Keras, and OpenCV, the model uses Convolutional Neural Networks (CNNs) trained on facial expression datasets to classify emotions such as happy, sad, angry, surprised, and neutral.

What I loved most about this project was exploring how computer vision can interpret human emotions bridging technology with psychology in a truly fascinating way.