Facial recognition technology has emerged as a powerful biometric identification tool in various applications, including security and access control. However, this paper aims to explore using facial recognition technology to evaluate a person's character based on facial features. To achieve this, we have developed an Android app using MediaPipe solution-core library, with optional face detection and face mesh solutions. This study discusses the benefits and drawbacks of using facial recognition for character evaluation and explores the various methods used for feature extraction. We also examine the criteria people use to evaluate facial recognition systems in this context. Our findings indicate the potential for future research in this area, especially in improving accuracy and reducing the risk of bias in facial recognition algorithms.

Facial recognition technology, biometric identification, facial features, feature extraction, bias, facial recognition algorithm, personal characteristics