This repository contains Capstone project work for Beanstalk (Hamoye DataScience internship):

Age and Gender Detection using CNN

(Convolutional Neural Networks)

A Model to analyze face pictures of different genders and age groups. The dataset includes a CSV of facial images that are labeled on the basis of age, gender, and ethnicity, and it includes 27305 rows and 5 columns, age, ethnicity, gender, img_name and pixels. The link to the dataset can be found at:

https://www.kaggle.com/datasets/nipunarora8/age-gender-and-ethnicity-face-data-csv.

• Evaluated the model and the results are:
  • Loss: 91.152885
  • Gender Accuracy: 0.906559
  • Age Accuracy: 0.800337
  • Age Loss: 0.539453
  • Gender Loss: 0.2430106