EZDock | Devpost

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Find your closest docks

Inspiration

We've been hearing from our biker friends about the frequent incidents of bike theft. In response, we decided to take this opportunity to help them.

What it does

We developed a website that identifies the closest dock relative to the user's location.

How we built it

To construct our platform, we utilized HTML/CSS for website development and MongoDB for database management. Flask served as our web server, enabling database access. Neurelo facilitated database interaction through APIs.

Challenges we ran into

Our primary challenge was that we all just learned these technologies over the weekend. Getting started was especially challenging, particularly with MongoDB, as it was our first time working with a database. Setting up Flask and Pymongo required a lot of installation, adding to the complexity. Linking files in Flask was also tough, as navigating the correct paths proved to be quite tricky. When we attempted to work with Neurelo, our understanding of the technology was limited. However, regardless of this challenge, we decided to try and learn Neurelo to generate APIs for retrieving data from the database.

Accomplishments that we're proud of

It is our first time to work with these new technologies. We're proud to have learned everything in such a short time frame, allowing us to successfully build the website, set up the database, and create the necessary APIs.

What we learned

We learned to use MongoDB for database management and connected HTML to Flask to enable database interaction. We also gained valuable experience in utilizing APIs to improve program functionality.