| 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 |