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Comparative study of 7 CNN architectures for facial expression recognition using generic vs. Action Unit (FACS)-aligned facial-landmark regions — shared vs. landmark-specific backbones, feature-vector vs. feature-map fusion, and 3D convolution, evaluated on RAF-DB and CK+. IEEE CIS Kolkata internship project.

  • Updated Sep 16, 2026
  • Python

A real-time facial emotion recognition system using DenseNet121 CNN, detecting emotions like happy, sad, angry, and surprise from webcam or image input. The system maps emotions to emojis, enhancing interaction. Built with TensorFlow, Keras, and OpenCV, this project showcases deep learning in human-computer interaction.

  • Updated Apr 16, 2025
  • Jupyter Notebook

This project is about real time emoji recommendation based on facial expression. It is built using pretrained model Mobilenetv2. It detect 7 different expressions like happy,sad,angry,etc., using a web cam using opencv. This project is deployed using Flask

  • Updated Jan 4, 2026
  • Jupyter Notebook

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