In the last couple of years there has been a growing trend in environmental concern. Our application is designed with the average citizen in mind who is concerned about the environment, but lacks the resources to fully understand their impact on a global level, with the goal to reduce that impact.
What it does
Ecobecois is designed to allow users to track and interact with data from their commutes. As well as gather a substantial amount of pertinent data. It achieves these goals through a variety of functionalities mainly our itinerary page. Ecobecois uses self-developed algorithms to allow the user to plan their transportation needs through an extremely unique and personalizable medium. Users can add routes to their profile and save their travel history to calculate a variety of statistics including: Carbon footprint, distance traveled, costs saved by using alternative modes of transportations, and others. This application also allows the user to interact with their friends and community`s data, with the aim of motivating users to improve personal habits and encourage community growth around sustainable ideals.
How we built it
https://www.donneesquebec.ca/recherche/fr/dataset/lieux-habites-du-quebec - Scenic Route https://www.donneesquebec.ca/recherche/fr/dataset/chantiers-transports-quebec - Avoid Construction https://www.donneesquebec.ca/recherche/fr/dataset/radars-photo-transports-quebec - Avoid Speed Trap
Challenges we ran into
The challenges we have run into are not yet finished as HackQC 2017 is still ongoing.
We encountered an unexpected problem with the scoring system to generate waypoints for the pathfinding algorithm. We had to validate that these waypoints were not being generated in lakes or in unreachable places. We overcame this problem by making sure Google Maps could find a path to link each waypoint before they were considered by the scoring algorithm.
As we were 5 working in a relatively small project, we were often modifying the same files, creating too many merge conflicts. Fortunately, Visual Studio, our IDE, provides us with a user-friendly interface to merge those conflicts.
Accomplishments that we're proud of
We are really happy to have successfully let everybody contribute to the project regardless of their prior coding experience. Two of our 5 members were first-year students and they really did impressive contribution to the project.
We are really proud of our pathfinding algorithm. Even though it could be optimized, it is a huge algorithm to implement accurately considering the datasets we are using, and we think we have done a pretty good job for the time we had.
What we learned
What's next for Ecobecois
In the future, we would like to add to our application a GPS localizer so that the statistics can be calculated without the user having to enter them. We couldn't do this in a weekend as we chose to develop a web app for its quick deployment advantage and its accessibility to all platforms. A web app doesn't have access to GPS localization, but we could embed in native apps that have this access.