Smile detection camera is a desktop camera application that detects if the user is smiling or not and captures image automatically if the user is found smiling. The smile detection algorithm is implemented using OpenCV Haar Cascade Classifier algorithm.In this algorithm, 3000 negative images and 1500 positive images are used. Negative images are those image that does not contain anything related to users smile. Similarly, positive images are those image that contains smile of the user or human. Negative images are downloaded from the internet and positive images are generated from my friend’s smiling video. All the images are converted into grayscale format and converted into lower pixel values for training purpose because if the images were normal, it would take forever for a simple machine to train. The accuracy of 65% was obtained during testing phase.