A Deep Learning project for detecting Age and Gender developed using Python and ML.

This repository contains Python code for an age and gender detection project using the video stream from the camera. The model is trained on the UTKFace dataset and utilizes deep learning techniques for accurate age and gender estimation. The code includes scripts for data preprocessing, model training, and real-time detection from the camera.

To build a gender and age detector that can approximately guess the gender and age of the person (face) in a picture or through webcam.

Predict age and gender of people using MobileNetsV2 and UTKFace

EmoDetect: Android app that detects emotions through models trained on UTK Faces and fer2023new Datasets.

This is a Research Paper implementation of Levi-Hessaner Age-Gender Classification model which has re-implemented and trained on Indian faces.

Using OpenVINO toolkit to deploy an app that can recognize age and gender of a human face

Under this machine learning project, first the one or more than one faces from the image are extracted using google's cascade classfier. The extracted faces are cropped and then preprocessed into green scaled pixel values which is then fed into keras sequential model. The trained model is integrated with user interface with the help of flask.

Deep Learning Project on Age and Gender Estimation

This repository contains source code for an application used to predict Gender and Age of a Human.

This project is mainly based on Convolution Neural Network and OpenCV.