Published Paper Details:

Through machine learning and computer vision the Genage Detector uses advanced technology to forecast human characteristics based on image pictures. The deep learning system uses large dataset training models to generate precise outcomes. Both administrative and end-user modes let users access the system easily while the internal database tracks user behavior and stored trait predictions for research purposes. The Genage Detector shows output right after video processing happens. This report explains what the project aims to achieve and details its technical capabilities to serve different industries including marketing, health and security fields. The Genage Detector breakthrough technology analyzes human features by reading video footage. People should have better ways to handle digital image and video content since this data type reduces daily. Using advanced facial image analysis Genage Detector enhances user experience and creates new ways to use its age-gender prediction data. The Genage Detector serves as an effective and dependable technology for detecting people's age and gender. The app uses advanced deep learning models to handle images instantly as it returns exact and useful outcome data. The technology gives useful information to marketers for personalized campaigns and helps doctors understand patient health risks through age-based analysis.The Genage Detector puts user needs first because it creates a basic system that lets you add new pictures or pick live video streams for analysis. Through its full backend system the Genage Detector records and stores user actions while keeping track of predicted traits to enhance future prediction accuracy.