Inspiration

As a kid, I was always inspired by the precise calculations involved in rocket launches, which included factors such as fuel costs, weight, orbital trajectories, and more. Seeing the work of so many scientists broadcast live on TV is a spectacle to watch

What it does

Uses data from real flights and compares the AI's efficiency with that of the hardware. There are a variety of different flight scenarios to choose from, and you can even create your own custom one

How we built it

We combined our learnt skills in Python with the help of Claude in our code construction, and the help of OpenClaw as our AI agent to determine flight trajectories based on prompt engineering

Challenges we ran into

The most significant challenge we faced was setting up OpenClaw. Other than that, determining the correct prompts for OpenClaw was also a hard task to do as well

Accomplishments that we're proud of

We were able to create a live 3D demonstration of rocket movement, and were able to readjust the rocket's misalignment with high accuracy

What we learned

Through this experience, we learned a lot about utilizing Python to develop apps and websites. We also learned how powerful AI agents are, and how assistive they can be in everyday, mundane tasks.

What's next for AI Auto-Correcting Rocket

Perhaps in the future, we could partner with UCSC's Rocket Team to test out our program on live rocketry

Built With

Share this project:

Updates