Face Recognition bases Ticket Verification System

I am in need of a knowledgeable Python developer to work on a project involving ticket verification using face recognition. This is a grad project. You need to train 2 different models. Two models should be trained and accuracies should be shown. Models will be trained to scan facial features and recognize the person from cosine or ecludian distance difference based on threshold value. Training dataset is CelebA dataset you can download from this link https://paperswithcode.com/dataset/celeba. Test dataset will be provided by me. Whether the person recognizes the face that appears when the camera is turned on or not, and whether the person's name and ticket are available are displayed above the face on the screen to be printed. .The ideal candidate should possess:

- Proficiency in Python.
- Solid experience in working with face recognition technology.
- Familiarity with Deep Learning Models, more specifically Convolutional Neural Networks (CNN), as this is the model I'd like to base the facial recognition feature on.

Please note, I have already collected the necessary data to be used for the face recognition feature. Contact me if your skills and experience match these requirements.