Project Info

Sventos

Devpost

Inspiration

The inspiration of this project was from my own experiences with Zoom. With sometimes having bad eyesight, I wish I had better access to zooming into certain windows and prioritizing different frames that were presented to me during virtual school.

What it does

Sventos is built on the Zoom Video SDK Next.js template, which allows 1-1 communication using Zoom's APIs. I then extended this to support multiple users, and most importantly, screensharing, making up the key elements of virtual school. Sventos gives users fine control over what they view from meetings/presentations/webinars by being able to move and resize their frames, allowing users quality of life and educators/content-creators the ability to create immersive education/other immersive experiences.

How we built it

Sventos is built as a fork of the Zoom Video SDK Next.js template, using Next.js, tailwind, and Node.js for the API routes. I further used Windsurf, the agentic AI IDE, to assist me with tricky tasks and overall frontend design.

Challenges we ran into

Understanding the Zoom API was difficult, but it helped me understand how much control it could give to users if used correctly. Extending the front-end to allow dragging and resizing of frames was a very time-consuming product.

Accomplishments we're proud of

Constructing the MVP, I thought I wouldn't be able to finish it at some point, but I was able to get a majority of what I wanted to on the board. It also helped me understand the lengthiness of the ideation and building process.

What we learned

Software is tricky, but it doesn't always have to be complicated to make an impact. While it wasn't complicated in nature, I believe Sventos has a lot of future potential.

What's next

Supporting multi-screen sharing, I still need to explore more of the Zoom API to see if this is possible, but this may require me to write certain components from scratch. I want to hash this out to meet education use-cases and beyond, as I feel this has good potential for content-creators, especially in the streaming (see, Twitch) industry.

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
  • CSSIn code
  • JavaScriptIn code
  • Next.jsIn code
  • ReactIn code
  • Tailwind CSSIn code
  • TypeScriptIn code
  • Node.jsClaimed

6 of 7 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

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

231 KB

Source files

17

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

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