Project plan (Marathon 1) - mgp4/aws-hackathon-2015 GitHub Wiki

Areas of interest:

• colouring (google?) map -> input: gps + intensity output: map with heat
• getting population data -> input: gps output: number of people there/around
• getting traffic lines data -> input: our zip from bileto; output: somehow put together traffic lines with gps, where they go and how often (~how many people max. transported weekly) - probably graph with line widths depending on the traffic capacity between nodes

Phase 1: :white_check_mark:

• decide aws technology we want to use (lamda or whatever)
  • Lambdas for data extraction
  • DynamoDB (NoSQL) for information storage

Phase 2: :runner:

• get some basic set of data in every area (and ability to colour map)
• set up whole infrastructure - s3, jaws, cloudfront
• create prototype/demo = something that heats the map

Phase 3:

• think about scaling and how to make it "big"
• make it happen

Phase 4:

• fun with different scenarios (bars, escort, ...)
• play around with another ideas
  • fine tune capacity of traffic means
  • correlation of salary and density of public transport
  • ...