Bio Vision: AI-based Secure and Accurate Visual Expression Analysis System

This paper presents Bio Vision, an advanced AI-based system for facial expression analysis using Convolutional Neural Networks (CNN). The proposed system aims to achieve secure, reliable, and real-time detection of human emotions through visual input. The model is trained using grayscale facial images and achieves high accuracy in identifying seven emotional states — angry, disgust, fear, happy, neutral, sad, and surprise. This study demonstrates how deep learning can be utilized to enhance human-computer interaction (HCI) and emotion-aware systems.