Inspiration
Nearly 1.25 million people die in road crashes each year meaning on average there are 3,287 deaths a day. In an attempt to ensure the safety and wellbeing our future generations in developing society heavily reliant on automobiles, we hope that VisionMaps can be a part of safer driving practices.
What it does
VisionMaps calculates the most optimal way from Point A to Point B based on statistical data of car accidents on your route. It finds the safest route based on how many accidents occured and analyzes the safest route without adding too much to the travel time.
How we built it
Using Google Maps API as the basis of our project and we used Azure API to host our domain. We used C++ and Python to parse our data which was provided by Statefarm
Challenges we ran into
Our team did not have any experience with Google Maps API previously and encountered long processing times when trying to analyze the dataset. We think our lack of experience with Javascript and HTML challenged us to learn under pressure and ask for help in attempt to implement our solution.
Accomplishments that we're proud of
We were able to successfully implement Google Maps API, obtain a domain and develop a website that showcases viable paths for users to take when traveling to their designated location.
What we learned
Overall Takeaway: There's lots to learn! We are still currently developing our skills and this was a very arduous learning task that challenged us and made us think outside the box. It was a rewarding experience and we hope that some implementation of this could help people.
What's next for VisionMaps
-Mobile Version of the web-based application -Apply this to State Farm's Drive Safe and Save mobile app -Apply weather and road conditions based on data -Smart auto-prediction customization for the user
Log in or sign up for Devpost to join the conversation.