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emoji-suggestions

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Facial Expression Recognition System using YOLOv9 & Flask. Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with Python, OpenCV, Flask, HTML/CSS/JS. Ideal for HCI & emotion analysis.

  • Updated Aug 15, 2025
  • Jupyter Notebook

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

Facial Expression Recognition System using YOLOv9 & Flask. Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with Python, OpenCV, Flask, HTML/CSS/JS. Ideal for HCI & emotion analysis.

  • Updated Apr 16, 2025
  • Jupyter Notebook

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