Because of the wide range of potential uses, emotion detection has become an inevitability and a difficult problem in computer science. Users get input and feelings from the system via nonverbal indicators including body language, facial expressions, and gestures. Human–Computer Interaction relies on the sensor's sensitivity and algorithmic resilience to improve recognition. Accurate detection relies heavily on sensors, which provide the system a higher level of efficiency and dependability by giving such high-quality input.

Convolutional Neural Network (CNN), Facial Expression, Recognition, Haar Cascade, Keras, RealTime Model, Seven Universal Expressions, TensorFlow, Web-Interface