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Improving public transportation reliability to encourage people reduce their carbon footprint.

Summary: 
  • Managed to achieve a good prototype of a semi-real time tracker
  • Pulled data off the MARTA schedules to be used as our primary dataset.
  • Platform agnostic and user friendly.
  • Involves SMS service and use of smartphone technlogies to cater to a wide section of international population facing this problem
What we accomplished during the event: 
  • A good notion of routes in different countries.
  • A decent working framework to be able to get an idea of approximate time your transport is due in to the stop near you. 
  • A user friendly way of updating information in a crowd sourced framework. 
  • Intelligent route prediction possible once the data sets evolve over time. 
  • SMS service to cater to developing nations. 
  • Potential integration with Google transit as a way to handle deviations from predicted schedules in developed countries. 
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