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Use nocookie version for YouTube embed of teech.ai

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Brendan Chen
2026-01-19 11:51:51 -08:00
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projects/teech-ai-cal-hacks-12/index.md
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@@ -3,18 +3,11 @@ title: teech.ai (Cal Hacks 12.0)
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<iframe type="text/html" style="width: 100%; height: 400px; border-radius: 1px; pointer-events: auto; background-color: white;" src="https://www.youtube.com/embed/luVIdLB9id0?enablejsapi=1&amp;hl=en_US&amp;rel=0&amp;start=&amp;version=3&amp;wmode=transparent" allowfullscreen="allowfullscreen" frameborder="0" allowscriptaccess="always" webkitallowfullscreen="true" wmode="transparent" mode="transparent" class="video-embed"></iframe> <iframe width="100%" height="480" src="https://www.youtube-nocookie.com/embed/luVIdLB9id0?si=1sTE9Z3MeyWntRmd" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
**A proof-of-concept tutoring app for students learning math.** Using the phone **A proof-of-concept tutoring app for students learning math.** Using the phone camera, the app sees and understands math problems, guiding students through problems with hints and step-by-step questions. We added text-to-speech (TTS) to give our app a voice, further engaging students and making it feel like a more personal experience.
camera, the app sees and understands math problems, guiding students through
problems with hints and step-by-step questions. We added text-to-speech (TTS) to
give our app a voice, further engaging students and making it feel like a more
personal experience.
I built the app using SwiftUI. with AVFoundation for video recording and TTS I built the app using SwiftUI. with AVFoundation for video recording and TTS playback. [Tri Vu](https://www.linkedin.com/in/tri-q-vu/) built a web interface prototype and Python-based backend utilizing the Gemini Vision API and Fish Audio for TTS.
playback. [Tri Vu](https://www.linkedin.com/in/tri-q-vu/) built a web interface
prototype and Python-based backend utilizing the Gemini Vision API and Fish
Audio for TTS.
[GitHub](https://github.com/brendan-ch/teecher-ios){: .primary-action } [GitHub](https://github.com/brendan-ch/teecher-ios){: .primary-action }
[Devpost](https://devpost.com/software/teech-ai){: .secondary-action} [Devpost](https://devpost.com/software/teech-ai){: .secondary-action}