Project House
Age and Gender Detection
#Deep LearningCNN


The Age and Gender Detection project uses deep learning for identifying the age and gender of individuals through image and video. The system is developed using React for the frontend interface and Firebase for backend. The project uses a Convolutional Neural Network (CNN) algorithm to perform real-time age and gender detection.

The project consists of several features:

  • Allows users to create accounts and authenticate through a secure loginprocess.
  • Image Upload: Users can upload images from their devices for age and gender detection.
  • Web Camera Integration: Users can capture images directly through their web camera, facilitating instant detection.
  • Real-Time Video Processing: The system supports real-time detection from web cameras, providing continuous age and gender analysis.

You can download abstract from here

Technologies Used

FrontendReact JS
BackendFirebase, Python
Gender Detection Accuracy91%
Age Detection Accuracy79%
Project IDDL010A


  1. User
  • πŸ‘¦ Login/Signup
  • πŸ§’ Upload Person images
  • πŸ‘¦ Click an image through webcamera
  • πŸ§’ Realtime detection from video through webcamera