Inspiration
We were inspired by the interesting INRIX API call: drive_time_polygons(), which returns a polygon that describes the area that a person could reasonably drive within some time (including traffic).
We were also inspired by ChatGPT and its capability to parse natural language into something more structured and standardized. Essentially, how it could "analyze and group" data.
With these two large inspirations, we merged the ideas together to make an amalgamation of a hackathon project.
What it does
Given some query loosely following the structure of: I want to [descriptive or vague Place] [Price?]. and some chosen max commute time, return places of interest
How we built it
- see github
Challenges we ran into
- API calls
- linking stuff together ## Accomplishments that we're proud of
- it works ## What we learned
- time is precious ## What's next for ChronoBytes
- Query through microphone
- detailed search thru LLM
- Fine tuning LLM
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