Project Info

Winner

Best Use of Together AI

Groundhog

Devpost

This project did not submit a demo video on Devpost.

Inspiration

We love spending time playing role based games as well as chatting with AI, so we figured a great app idea would be to combine the two.

What it does

Creates a fun and interactive AI powered story game where you control the story and the AI continues it for as long as you want to play. If you ever don't like where the story is going, simply double click the last point you want to travel back to and restart from there! (Just like in Groundhog Day)

How we built it

We used Reflex as the full-stack Python framework to develop an aesthetic frontend as well as a robust backend. We implemented 2 of TogetherAI's models to add the main functionality of our web application.

Challenges we ran into

From the beginning, we were unsure of the best tech stack to use since it was most members' first hackathon. After settling on using Reflex, there were various bugs that we were able to resolve by collaborating with the Reflex co-founder and employee on site.

Accomplishments we're proud of

All our members are inexperienced in UI/UX and frontend design, especially when using an unfamiliar framework. However, we were able to figure it out by reading the documentation and peer programming. We were also proud of optimizing all our background processes by using Reflex's asynchronous background tasks, which sped up our website API calls and overall created a much better user experience.

What we learned

We learned an entirely new but very interesting tech stack, since we had never even heard of using Python as a frontend language. We also learned about the value and struggles that go into creating a user friendly web app we were happy with in such a short amount of time.

What's next

More features are in planning, such as allowing multiple users to connect across the internet and roleplay on a single story as different characters. We hope to continue optimizing the speeds of our background processes in order to make the user experience seamless.

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • HTMLIn code
  • PythonIn code

2 of 2 appear in the indexed code.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

216 KB

Source files

19

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

0 stars