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Python project using OpenCV and a deep learning model trained on a dataset of 8,350 facial images to predict emotions based on facial expressions. This project leverages the power of computer vision and machine learning to analyze facial features in real-time or from images and accurately classify emotions such as happiness, sadness etc.

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Emotion-Predictor-with-OpenCV

Python project using OpenCV and a deep learning model trained on a dataset of 8,350 facial images to predict emotions based on facial expressions.This project leverages the power of computer vision and machine learning to analyze facial features in real-time or from images and accurately classify emotions such as happiness, sadness etc.

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Example of emotion detection

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Python project using OpenCV and a deep learning model trained on a dataset of 8,350 facial images to predict emotions based on facial expressions. This project leverages the power of computer vision and machine learning to analyze facial features in real-time or from images and accurately classify emotions such as happiness, sadness etc.

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