Inspiration
The Walmart challenge inspired us to develop a model to traverse through the store, with the shortest path and helps in finding things in the store.
What it does
A model to traverse through the store, with the shortest path, and helps in finding things in the store. It helps in reducing time wasted in going around the store multiple times.
How we built it
We built it on python using our own algorithms and some famous pathfinding algorithms., like A*.
Challenges we ran into
The biggest challenge we ran into was the size of the data map, Our model works perfectly fine if the dataset is minimized to 0.25 percent of the actual size. Another huge challenge was meeting the time requirements, which was getting the final path under a minute. Our model is able to complete the process in about 3 min.
Accomplishments that we're proud of
Learning how pathfinding algorithms work, and we made the model work despite computing deficiencies. Being a team of sophomores, it was hard to understand some specifics of the algorithm, but we still could implement these algorithms to this customized dataset,
What we learned
Time management is a huge deciding factor when it comes to 24 hour hackathons.
What's next for Walmart - Pathfinder
The next goal is to optimize it so as to finish the desired map size under a minute.
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