Skip to content

Android App used to get player statistic data from facial recognition

Notifications You must be signed in to change notification settings

gonend/T_G_PlayerIdentifier

Repository files navigation

PlayerIdentifier

Android App used to get NBA player statistics data from image recognition.

Description

This is an educational project.

Goals

gain hand-on expirience and knowledge in new technologies, methodologies and platforms. We aim to deploy this app to a running environment so users can download and use it on their android OS.

Technologies

  • Frontend: React Native
  • Backend: Express.js and Flask
  • Machine Learning: Ultralitics (Yolo v8)
  • Database: Firebase
  • Authentication: Google Auth

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

To Do:

  • ✔️ Set Up Client, Express, Flask.
  • ✔️ User Authentication.
  • ✔️ Database Connection.
  • 🔲 Improve UI design.
  • 🔲 Improve model predictions.
  • 🔲 Deploy Servers to working environment.
  • 🔲 Etc.

Prerequisites

Before you can run this project on your local machine, you'll need to have the following software installed:

  • Node.js
  • npm
  • Python
  • pip
  • Flask
  • Android Studio

Installing

Clone the repository to your local machine Install the project dependencies by running npm install in the project root directory Start the frontend by running npm start in the frontend directory Start the backend by running python app.py in the backend directory

Running the tests

Explain how to run the automated tests for this system

Break down into end to end tests Explain what these tests test and why

Copy code Give an example Deployment Add additional notes about how to deploy this on a live system

Built With

Authors

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

etc.

About

Android App used to get player statistic data from facial recognition

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published