Traffic Flow Wizards

Predicting Traffic Congestion through Data Magic!

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Inspiration

The motivation for creating this app stems from the common frustrations and inconveniences people face when encountering traffic congestion. We can all relate to the feeling of being in a hurry, whether it's for work, a crucial meeting, or just wanting to return home after a tiring day, only to find ourselves ensnared in a seemingly endless sea of vehicles. This not only leads to wasted time but also adds to the stress levels and environmental impact caused by excessive idling.

What it does

The application aims to provide users with predictions about traffic congestion at specific locations and times, enabling them to make better preparations for their commute.

How we built it

The project consists of three main components: Frontend, Backend, and Model. The Frontend was developed using React Native, while the Backend was implemented using Golang. The Model was trained using linear regression on a local device's CPU.

Challenges we ran into

One of the initial challenges we faced was setting up the project's various environments, considering the diverse technologies involved in its development. Additionally, dealing with the substantial volume of data required for processing posed a significant challenge, particularly during the model training phase.

Accomplishments that we're proud of

Despite our diverse educational and cultural backgrounds, we successfully collaborated as a team, working together to deliver the best possible outcome.

What we learned

Stay calm and keep coding.

What's next for Traffic Flow Wizards

Moving forward, there are numerous potential enhancements that can be implemented in the app. These include personalized recommendations for users, an audio alerting system, and various other functionalities to further enhance the user experience based on our existing application.

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