• K. Srikanth
• T.V Vamsi Krishna
• Eluri Vyshnavi
• Kosanam Durga
• Pothabatthula Sireesha, Tata V N S Prasanna

Facial recognition stands as one of the foremost effective applications in image processing, playing a vital part within the specialized circle. Recognizing human faces could be a squeezing concern, especially in confirming understudy participation. Utilizing facial biostatistics, a participation framework utilizing confront acknowledgment depends on high-resolution checking and progressed computer innovations. The objective of creating this framework is to digitize the conventional strategy of attendance-taking, which includes verbal calls and manual record-keeping. Current participation strategies are difficult and time-consuming, inclined to control through manual recording. Both conventional participations stamping and existing. The biometric frameworks are helpless to false intermediaries. This paper points to address these challenges. Participation is the essential key to check the nearness of a individual. In long time past days, it is exceptionally troublesome to require the attendance of people because it could be a time-consuming handle. Over a long time, a few arrangements have been created to record the nearness of students. To annihilate this issue a few innovations were presented. Confront acknowledgment is one of the most excellent strategies to track the participation of individuals. It is essential computer program that records understudy participation. Utilizing this innovation, the efficiency and productivity can be expanded. Utilizing a few machine learning calculations, able to construct a program that can track the participation.

INNOVATIVE ATTENDANCE SOLUTIONS THROUGH MACHINE LEARNING AND FACIAL RECOGNITION

"INNOVATIVE ATTENDANCE SOLUTIONS THROUGH MACHINE LEARNING AND FACIAL RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.87-96, November-2024, Available :http://www.jetir.org/papers/JETIRGO06009.pdf

"INNOVATIVE ATTENDANCE SOLUTIONS THROUGH MACHINE LEARNING AND FACIAL RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. pp87-96, November-2024, Available at : http://www.jetir.org/papers/JETIRGO06009.pdf