This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tensorflow.js have been used.
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No module named 'fer'
File "F:\Project\facial-emotion-recognition-master\server\main.py", line 10, in
from fer import FER
ModuleNotFoundError: No module named 'fer'
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Some thing interesting about game, make everyone happy.
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