[GSoC 2026] Introduction — Python/ML/Full Stack — SeaSee'r + AI Mentor

[Sravani Gurram]

Hi Catrobat team,

My name is Sravani Gurram, a Master's student in Computer Science at San Jose State University. I am applying for GSoC 2026 and am very interested in two projects:

1. SeaSee'r: Underwater Mapping and Exploration — my Python, computer vision, full-stack, and REST API background maps directly to this project's requirements.
2. AI Mentor for PocketCode Students — my ML and LLM integration experience is relevant here.

I have already started the SeaSee'r entry task - my Three.js panorama viewer repo is set up and I am actively building it.

One quick question: For the entry task panorama images, should I use publicly available equirectangular images (e.g., from polyhaven.com), or will the team provide specific images to use?

Thank you for your time. I look forward to contributing!