Inspiration
We were all intrigued by 123Loadboard's challenge as soon as we saw it. Truckers are vital to daily life; they transport everything, so we must make their lives easier so that they can continue to do their excellent work.
What it does
With time as a limitation, a trucker from a specific origin is assigned the most profitable trip. Based on the amount he will earn from loads while losing money due to fuel cost.
How we built it
We used OOP in Python to build the program and computer science algorithms.
Challenges we ran into
The algorithm to obtain the most profitable trip was by far the hardest aspect of the program. As our group had no prior experience working with complex computer science algorithms.
Accomplishments that we're proud of
Unfortunately, we were unable to finish the program. However, we now have a deeper insight into how to use algorithms in real life scenarios.
What we learned
Dijkstra's algorithm and enhanced our knowledge of OOP in Python.
What's next for TruckerTripOptimizer
We must use algorithms that return a better runtime to calculate the most profitable trip faster for a truck driver.
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