Emotion and Face Recognition

• Tech Stack: LibSVM, R Programming
• Algos: Principal Component Analysis (PCA), Support Vector Machines (SVM), Minimum Distance Classifiers
• Code URL: View on Github

The aim of this project is to detect emotions from facial images using Support Vector Machines (SVM) and Principal Component Analysis (PCA). PCA is utilized to extract the most relevant features from a set of images, which enhances the accuracy of the emotion recognition system. Meanwhile, SVM is employed to classify the extracted features into different emotion categories, such as happy, sad, angry, etc.