The problem Face-Sync : AI LIVE FACE RECOGNITION MODEL solves

FaceSync -MAKSQUARE is a webpage for face recognition that detects people's faces using a machine learning model. It also provides users with the data they entered on the information page. It's a highly efficient platform that swiftly detects people's images and sends images to those who have registered, saving time.

Challenges I ran into

Data Quality: Obtaining high-quality, diverse, and representative face data for training can be challenging. Variations in lighting, pose, expression, and occlusion can affect the model's performance.
Preprocessing face images to ensure consistency in size, orientation, and quality is crucial for effective training. Techniques such as face alignment, normalization, and augmentation may be required.
Face recognition technology raises privacy and ethical concerns related to data security, consent, bias, and surveillance. Ensuring compliance with regulations and ethical guidelines while developing and deploying the model is critical.