Inspiration
We wanted a way for friends and family visiting SF to get the best recommendations anywhere they were. Not just close places, but places aligning with what they love.
What it does
Our PIC generates a top 5 list of optimal routes based on time efficiency and popularity of nearby places. Bonus points if a place matches some user-entered preferences (bar, nature, park, arcade, food, etc.)
How we built it
We utilized a HashMap and heap for managing location info. Location info was pulled from a mock data sheet and organized into node-like structures.
Challenges we ran into
Establishing base project ideas, managing the heap correctly, considering accurate algorithm for "fun-time".
Accomplishments that we're proud of
It was motivating to write out our plan for a digital map based on user-specified preferences. Creating a product with genuine real world applications.
What we learned
Working in a team environment, troubleshooting and consistent error-handling, finding loopholes for seemingly impossible problems.
What's next for PIC: Personal Itinerary Curator
We expand to different cities and go mobile.
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