A case study based on Rome Open Data and MongoDB, to derive a measure of car accident risk on a point or a route for a set of conditions, from a series of enriched data from multiple additional sources. Plus some nice UI and charts. Coded in a hurry in a 2 days Hackathon!
The idea of this project is to improve the danger awareness and provide a "safer route" when driving in big cities like Rome, which also provide Open Data and live services to assemble a complete and statistically relevant dataset. On top of that, the repository contains a responsive site, made as an example. Another great application of such idea is a mobile app (or a car embedded app).
| NAME | ROLE |
|---|---|
| EVERYONE | concept |
| Me | frontend, design, presentation |
| Stefania Gigantiello | Atlas features, DBA, presentation |
| Carmen Laganà | frontend, design, operations |
| Mirko Palluzzi | Atlas features, DBA, presentation |
| Michele Piazzolla | backend, operations |
| Ramona Reppucci | Atlas features, DBA, presentation |
| Marco Scarlino | backend, operations |
Kudos to the MongoDB Team for helping us and for the Hackathon itself! Please note: all the credentials you may find inside are now expired or invalid, so don't mind them.