This project focuses on developing a mobile application for emotion and gender classification using a pre-trained model. The application allows users to register, log in, and access a detection page that analyses emotions and gender from images. By leveraging existing pre-trained models, we aim to deliver accurate and efficient classification without requiring extensive machine learning or deep learning expertise. The application promotes user interaction and provides a seamless experience while ensuring data privacy and security. Our goal is to facilitate emotional awareness and understanding in users, making the application beneficial for personal development and social interactions. Ultimately, this project addresses the growing demand for user-friendly emotion recognition technologies in mobile platforms.

Keywords: Emotion Classification, Gender Detection, Mobile Application, Pre-trained Models, User Interaction.