Inspiration
Inspired by the needs of naive drivers, daily commuters, and long-haul transporters navigating through risky roads, our idea was born and turned into a user-friendly tool designed to guide all users safely around danger zones, making each journey safer and stress-free.
What it does
The application serves a dual purpose: For car owners and common users, it offers a user-friendly mobile or web platform that allows travelers to input their desired travel route. Using historical data, the application identifies potential danger zones and crash sites along the selected path, empowering users to plan safer journeys with confidence and reducing the risk of accidents during travel.
For car manufacturing companies, the application includes a comprehensive dashboard powered by Tableau, providing detailed insights into car crashes categorized by model and body type, and presenting geographical breakdowns of crash data. This data-driven tool equips manufacturers to make informed decisions, enhancing car safety and design.
How we built it
We started by analysing lots of important data on road safety from NHTSA to identify dangerous spots on the road. Then, we chose Alteryx as our ETL tool to sort and organize this data easily because it's user-friendly and can work with data from different places. For building the app where users can see and use this data, we chose React because it lets us build an app that's easy for people to use and understand. We stored all our data in Amazon S3 because it’s a safe and reliable place that can hold a lot of data. With all these tools, we created an app that helps all drivers, whether new or experienced, find and avoid risky areas on the road, making their trips safer.
Challenges we ran into
Navigating through and making sense of the various datasets provided by NHTSA was a complex and intricate challenge. We encountered challenges in choosing an ETL tool adept at both efficiently processing large datasets and connecting smoothly to various data sources.
Accomplishments that we're proud of
In just 36 hours, we sifted through tons of road safety data, picked and set up Alteryx to organize this data neatly, and built a simple, easy-to-use app with React.
What we learned
In a short span of 36 hours, our collaborative team effort led to significant learning and achievement. We dived into heaps of data, realizing the importance of careful sorting and organization, with Alteryx playing a pivotal role in this process. Through working with Tableau, we learned to visualize complex data in a more understandable way, which is essential for our users to make informed decisions. Hands-on work with React allowed us to craft an app that's user-friendly.
What's next for DriveSmart App
We plan to add real-time voice suggestions for hands-free, focused driving. Integration of live weather data is on the cards for dynamic, safe route recommendations. Large Language Models for smarter data interpretation and user-friendly interactions.
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