• Harshada Kumbhar
• Renuka Bhavsar
• Vrushali Aher
• Nikita Deshmukh

In colleges, universities, organizations, schools, and offices, taking attendance is one of themost important tasks that must be done on a daily basis. The majority of the time, it is donemanually, such as by calling by name or by roll number. The main goal of this project is tocreate a Face Recognition-based attendance system that will turn this manual process into an automated one. This project meets the requirements for bringing modernization to the way attendance is handled, as well as the criteria for time management. This device is installed in the classroom, where and student's information, such as name, roll number, class, sec, and photographs, is trained.The images are extracted using Open CV. Before the start of the corresponding class, the student can approach the machine.

"Fake Data Detection For Image Augmentation Using Generative Adversarial Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l85-l97, May-2023, Available :http://www.jetir.org/papers/JETIR2305B12.pdf

"Fake Data Detection For Image Augmentation Using Generative Adversarial Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl85-l97, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B12.pdf