Inspiration
We wanted to build on top of the classic beginner project; with access to so many api's especially with gpt4, we believed that we could streamline every aspect of our schedules.
What it does
given your google calendar, and a todo list, the program feeds keywords into gpt4, and requests a schedule which takes into account time constraints, proximity, priority, and duration.
How we built it
Using google calendar, google maps, and openai api. programmed majority in python and html5, ran on flask.
Challenges we ran into
Could not access certain api keys. technical problems, lack of experience. no dedicated front end developer.
Accomplishments that we're proud of
We completed what we sought out to complete. We are incredibly proud that we were able to learn so much about so many api's in the short amount of time we were here.
What we learned
openai, google maps, google calendar, for some: python.
What's next for OptiPlanner
We would like to have other auxiliary factors such as fatigue, events that can run congruent, and distance matrices,
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