RiteWae is a community-driven cross-platform mobile app that helps drivers stay safe. Users can report dangers they see on the road, warning others to be alert and drive defensively. Over time, we hope to gather enough anonymous data that can be useful in all sorts of avenues.
The following information can be found at Devpost.
Today there are plenty of travel apps out there such as Google Maps and Waze. Unfortunately these apps are only concerned with getting you somewhere the fastest, not the safest. What if we could work with these apps to prioritize driver safety and make sure users are going the RiteWae?
What it does
Our app takes travel to the next level by ensuring your commute is on the safest route. Utilizing Google Maps API and Liberty Mutual's Shine API, our app can alert you of nearby dangers or hazards as well as provide you with the historical data for geographic areas.
How we built it
We built our application using a MongoDB Stitch back-end & React Native front-end with a sprinkle of Liberty Mutual's Shine API and Google Maps API.
Challenges we ran into
Along the way we struggled with implementing voice recognition on time. Ideally this app would have a completely hands free feature....however this feature is not far off. In addition learning a new technology stack proved problematic with no prior experience among the team; however, it was a worthwhile endeavor.
Accomplishments that we're proud of
For half the team this was our first Hackathon, we just met this weekend and we still managed to build a fully functional prototype. Overcoming our various challenges as mentioned before was a fulfilling experience.
What we learned
Teamwork makes the dream work. Additionally, motivation can come from unexpected sources -- such as a stray succulent lost in the wind.
What's next for RiteWae
Data is in, not only do we provide safety as a service for our users, but over time as the app scales data sets from the users can be used to improve roadway infrastructure and the driving experience for everyone. Law enforcement may use this data to prioritize problem areas. Finally, the insurance sector may use this data to have better predictors into customer behavior patterns.