| dc.contributor.author | Raza, Syed Shuja Reg # 51889 | |
| dc.contributor.author | Ali, Muhammad Reg # 51821 | |
| dc.contributor.author | Sohail, Humza Reg # 51879 | |
| dc.date.accessioned | 2023-12-12T07:04:00Z | |
| dc.date.available | 2023-12-12T07:04:00Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/16755 | |
| dc.description | Supervised by Mona Leeza | en_US |
| dc.description.abstract | In the modem age the technological advancements and humanity’s constant urge to improve every part of reality and making it better and better through technology to help us understand all that science has to offer. In the recent years this technological advancement is being focused on image recognition and facial structure processing. To add our contribution to this endeavor we thought about using Neural Networks to do something new that might open doors for others to come and help them lead this project to better results and more usefulness across every field. Facial Feature Recognition can be a tedious task if not understood properly but through constant hard work we strived for success and built a system that can accurately predict and recognize what image the cropped input image will form and if something close to it is present in our system it will recognize that and bring us that image so that we can complete that image. In the last couple of years COVID has caused a lot of problems due to the use of masks and this program seeks to recognize humans even ifthey have a mask on | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN 340 | |
| dc.title | FACIAL FEATURES PREDICTION ON THE BASIS OF ONE FEATURE USING DEEP LEARNING MODEL | en_US |
| dc.type | Project Reports | en_US |