Sci-git.ai

Inspiration

I actually first came up with the idea when reading an article about protein discovery and manufacturing. With my school only allowing computing with physics (no chemistry or bio), I wanted to do something to showcase my knowledge of the other sciences. Thus I did some research, and found that there is no project like sci-git.ai, which directly assists research. As such, with pygame being especially designed for games, with strong visual capabilities, I decided to suggest sci-git.ai to my teammates, and it eventually got chosen as the best idea, as it does not need overly complex code and yet its impact can be very pronounced.

What it does

It is basically GitHub for science, with AI helping researchers commit and track files, without need for much human intervention. With all the science jargon present, I also decided to let the AI be able to summarize the content so that not so knowledgeable individuals in this field would also be able to easily understand the contents and impact of this discovery.

Challenges we ran into

None so far, it was just a bit tiresome to plan out some features and start to implement a few things. Also, we were not allowed to use FastAPI to host our own custom server so that users are able to share information online, which made us have to implement an export function.

Accomplishments that we're proud of

Having this idea in the first place, and being able to structure it so well! (there was multiple drafts, eventually we decided to do it this way)

What we learned

We are all pretty new in the hackathon sector, and this is one of the biggest projects we are doing, with AI even being implemented! So far, I do believe that the effective splitting of work and organization that we learned have really helped so far in the project.