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Inside-Out is a web application that uses FER library, OpenCv's Haarcascades to detect faces and their emotion. Music is recommended using Spotify API. The website uses Python, Flask, SocketIO, HTML, CSS & JS.
The project develops a facial emotion classifier using the k-Nearest Neighbors (kNN) algorithm. The classifier uses Histogram of Oriented Gradients (HOG) and Principal Component Analysis (PCA) for dimensionality reduction with usage of normalisaton, preprocessing and augmentation.