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Deep learning workflow based web application which is like an Uber for evacuation teams.

License: MIT License

Python 2.27% TypeScript 6.03% JavaScript 0.80% HTML 3.75% CSS 87.16%
deep-learning crowd machine-learning

daware's Introduction

Daware (Scope) python version Node version mit status

Daware(Scope) is a deep learning workflow based web application which is like an Uber for evacuation teams.

The application helps to predict before-in time who might be at a potential risk to fall in the crowd and become a threat for the stampede, it considers, users health data transmitted from the Smart Circlet via Bluetooth or Internet, GPS location, temperatures in the area and live video streaming.

Live video streaming is used to detect the posture of the person and inject it onto the transmitted data to predict when the person will be falling sick. And this data is sent to the ground personnel with victim details and location, it's like Uberification for the evacuation teams.

TODO - The application will detect the abnormal crowd movement using the live video feeds and alert the ground teams with the details of the people before time.

Prerequisites

  • Python 2.7
  • Flask
  • Flask-CORS
  • six
  • keras
  • Requests
  • scikit-learn
  • tensorflow
  • Angular 4
  • Angular CLI 6.1.0

To Star server

 python server/app.py start

To Star UI

 cd ui
 ng serve

daware's People

Contributors

linahhamdan avatar saianupkumarp avatar

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