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A gender detection and age prediction web application built using Flask, Open CV, HTML & CSS. Built the backend solution of the application. Integrated the OpenCV code as well as frontend developed by my fellow teammates with the flask backend.

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um4ng-tiw/Gender-Age-Predictor

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Gender-Age-Predictor

About the project

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A gender detection and age prediction web application developed using Flask, Open CV, HTML & CSS

Built With

python-shield flask open-cv html-shield css-shield

  • The frontend of the application is built using HTML & CSS
  • The backend is built using Flask and Open CV

My Teammates

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My Contribution

Built the backend solution of the application. Integrated the OpenCV code as well as frontend developed by my fellow teammates with the flask backend.

Getting Started

Prerequisites

Make sure you have Python, OpenCV, Flask and PIL installed on your system to run this project.

Execution guide

  1. Download the contents of the repository
  2. Make sure the necessary prerequisites are installed on your system
  3. Type the following command inside the directory on your terminal
python app.py
  1. Go to your browser and go to http://127.0.0.1:5000/

Usage

The website

1

Live detection

2

Detection on uploaded images

3

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Contact

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About

A gender detection and age prediction web application built using Flask, Open CV, HTML & CSS. Built the backend solution of the application. Integrated the OpenCV code as well as frontend developed by my fellow teammates with the flask backend.

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