Open RisingPhoenix99 opened 1 year ago
Hello @RisingPhoenix99, Thank you for generating an issue to this project! Please wait while we get back to you.
Hello! My self Pushpak, currently i am a contributor fom GSSoc'23. So, please assign this issue to me, very kneen to work on this issue.
Hello @1pushpak1 , I already applied for this issue, with all due respect please find another project to work on. Thanks
If the issue is currently open, please assign this task to me under GSSoC'24.
Aim of the Project: The main purpose of this project used to develop a face recognition attendance system connected to a real-time database to replace the traditional attendance system Solution Approach: Facial analysis is a technique that maps facial features like nose size, lips, space between the eyebrows, and the size of the forehead. First the image is feed into the model before testing. After processing the image, the model then converts it into a matrix with numerical values corresponding to the facial features and stores it in the database. Once the image is saved in the database, it can be tracked by the camera. The model can identify the person if they are already present in the database and the system will not identify people who do not appear in database.