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MVP Architecture Summary
Current rideshare services like Uber and Lyft can be unaffordable when traveling to/from popular areas (international airports, concerts, parties, etc.). This can be due to either the surge at the time, or even just sheer distance. We will solve this by providing a platform for people to “pool up” when going to the same destination.
Who we are solving it for: College students (MVP), hopefully expand to anyone with a Facebook account, so we can merge people attending the same Facebook event.
Platform: Android, since there’s a much larger user base.
Summary: a rideshare software that connects students who need a ride to or from LAX during school vacations.
Goal: reduce high transportation cost and carbon emission. International students often have to spend lots of time finding people to share the cost of going to LAX.
- Focus on to-LAX problem, since,
- Users share destination and strict deadline
- Easy to write test cases
- Use design patterns
- Locations should be stored separately from requests
- Faster look-up for point-to-point distances
- Objects/superclasses should be designed to contain destination as a field (the only place that specifies LAX as destination is the API call from front-end)
- All location fields should be a database reference of the location (User inputs are better preserved; Reduces ambiguity in user-specified locations as compared to using coordinates alone, which is error-prone and adds difficulty in locating intended location)
- Look up whether location reference exists before creating a new database object for location
- Database: add indexing for locations
- Product Extended
- Apply rideshare to other cities (proposed by: [fill in here] )
- Apply Rideshare to more than just airports and cities, it could apply to concerts, parties, sporting events, etc. (proposed by: David)
- Allowing user role “driver” for independent contractors
- Connect to facebook events, sporting events, concerts
Front-end:
- Android
- Libraries/API:
- for Instant Messages, login (oauth2), and more
- Firestore Client Library for showing a list of rides
- Volley library for calling back end APIs
- Flightstats
Back-end:
- Key features:
- Group users based on flight time and date
- Group users based on reducing detour
- APIs
- Traxo Flight Itinerary Import
- Lyft
- Google Maps Waypoint Optimization ([TSP Solver] (https://developers.google.com/maps/documentation/directions/intro))
- Sign-in/OAuth2 with Google App Engine /Firebase (Python as an example) https://cloud.google.com/appengine/docs/standard/python/oauth/