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SnapIt-Face Gesture Recognition Music Player

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dc.contributor.author Asma Khalid, 01-134132-032
dc.contributor.author Muhammad Abrar-Ul Hassan, 01-134132-104
dc.date.accessioned 2017-08-12T11:16:59Z
dc.date.available 2017-08-12T11:16:59Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/123456789/4376
dc.description Supervised by Mr. Humayun Zaheer en_US
dc.description.abstract There will be solid proof for those widespread facial expressions of seven feelings anger, contempt, disgust, fear, joy, sadness, and astound. These 7 facial expressions would utilized within the production of facial identification provisions Furthermore face distinguishment frameworks. Eventually Tom’s perusing presenting an app that might consolidate those complexities of facial identification and the stimulation quality of a music player, those measurements and horizons about computerized reasoning. Com-pelling reason to the correct music at the good run through need been requested for quite a while presently and to days gone by few for decades simplicity about individual need been focusing on Previously, each result that is made. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-5976
dc.subject Computer Science. en_US
dc.title SnapIt-Face Gesture Recognition Music Player en_US
dc.type Project Reports en_US


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