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Home Submission 1 Spring 2021

Gender and Age Classification

by OCEL.AI
February 26, 2021
in Submission 1 Spring 2021
1 min read
7
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Project Description

This application main goal is to provide more security to access the electronic devices and providing content suggestions based on gender and age detection. This application aims to detects age and gender of person accessing the device. The age detection feature of the application is used to restrict the people especially the children to avoid accessing the sensitive data. The gender detection feature of the application is used to improve the content suggestions based on the gender.

Course: Python/DL Programming

Team Members (4)
Madhuri Sarode (mgs638@mail.umkc.edu), Rupa Sri Doppalapudi (rd2kh@mail.umkc.edu), Vennela Kovuru(vkrd9@umsystem.edu), Sai Srinivas Reddy Velugoti (sv6by@mail.umkc.edu)

GitHub: https://github.com/rupadoppalapudi/Python_DeepLearning-2021Spring/wiki/Python_DL_Project

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This work was partially sponsored by NSF.

NSF IUSE #1935076
CUE Ethics: Collaborative Research: Open Collaborative Experiential Learning (OCEL.AI): Bridging Digital Divides in Undergraduate Education of Data Science

01/01/2020 – 6/30/2021, $ 350,000

Copyright © 2020 OCEL.AI.

 

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