A CNN model designed to predict emotions across various visual mediums, including images, videos, and live webcam feeds. Trained on a diverse and comprehensive dataset, this model accurately identifies seven distinct emotions, even when analyzing multiple faces in a single frame.

Harnessing the capabilities of TensorFlow Keras and OpenCV, this program seamlessly detects and categorizes facial expressions, offering real-time analysis for a wide range of applications.

Built on a robust multi-layered CNN architecture, this model has been meticulously trained with curated datasets. The model details and weights are stored in model-details.json and model.h5, guarantee efficient performance and seamless deployment. Upload an image or video, or activate your webcam, and watch as the model accurately identifies the emotions displayed on every face!