We hack for
Prosperity

This application aims to improve lives by making the roads safer and travel more efficient via Machine Learning, Artificial Intelligence, Image Recognition, Computational Skills, Database Management and Graphing Algortithms.

Features

  • Technologies Used

    Python, HTML, CSS, JavaScript, Machine Learning (Artificial Intelligence)

  • Maps

    Maps built using Mapbox.com

  • Hardware

    Raspberry Pi Board and compatible camera


ABOUT

How It Works


  • Traffic video data is recorded by Raspberry Pi Board.

  • The collected data is sent to the cloud.

  • Tensor Flow, Keras and Google Cloud Platform are used for Data Processing.

  • Convolutional Neural Networks were used for object detection.

  • The data is sent to the back-end database where it is integrated with Mapbox's services.

  • The dataset can be accessed here.
  • The processed information is presented on this website

STATS

No one receives success overnight, unless it's a Hackathon!

  • 2k+ Lines of Code
  • MLArtificial Intelligence Application
  • 4 Coders

TEAM






  • The team hard at work.






  • Algorithm Development in Progress.

Made at QHacks 2019 by
Anant Jain
Andrew Farley
Colin Cummung
Jack Demeter

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