When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and a New Benchmark

Supervisor:

Asst.Prof. SREEREKHA K.P

Team Members

Arunima P
Deepika Mohan
Malavika Surendran
Typhel Thomas

Description

In this project, we propose a model that utilizes Dlib for facial recognition,
enhancing user experience in various applications.
Dlib’s advanced facial recognition algorithms can accurately detect and
recognize faces with remarkable precision, even in challenging conditions.
By utilizing Dlib, the proposed system seeks to set a new standard in
convenience, where the power of cutting-edge technology enhances our
everyday lives.