AI Camera — Fan Edition: it hypes up your jersey like a stadium commentator 🏆

DEV Weekend Challenge: Passion Edition Submission

This is a submission for Weekend Challenge: Passion Edition

AI Camera — Fan Edition 🏆📷

What I Built

AI Camera is a phone-camera app that describes what it sees, out loud, in real time — powered by Google’s Gemini vision model. It started as an assistive tool for blind and low-vision users (general scene description, reading text aloud, describing an item for a marketplace listing, describing a person’s appearance). For this challenge, I added a fifth mode built specifically around passion:

🏆 Fan Mode — point your phone at a jersey, scarf, flag, or any fan gear, and the app turns into a hyped-up stadium commentator, calling out colors, team details, and team spirit with real enthusiasm. With the World Cup happening right now, it felt like the right moment to build it.

📱 Important: this is a mobile-first app. It’s built around your phone’s rear camera and needs to be held up and pointed at real things — please try it on a phone, not a desktop, for the intended experience.

Demo

🔗 Live app (open on your phone): https://demirajvazi10-max.github.io/ai-camera-fan-edition/

You’ll need a free Gemini API key from aistudio.google.com/app/apikey — paste it in when the app asks. It’s stored only in your browser and never leaves your device except to call Google’s API directly.

(I wasn’t able to put together a screen recording for this submission — camera-based apps are a bit awkward to record on a phone! Since the whole thing runs client-side with no backend, the live link above lets you try Fan Mode yourself on your own phone in about 30 seconds.)

Code

https://github.com/demirajvazi10-max/ai-camera-fan-edition

How I Built It

Passion shows up in different ways. Sometimes it’s the quiet kind — building something so a person who can’t see can still “see” the world around them. Sometimes it’s the loud kind — losing your mind over your team’s jersey during a World Cup year. I already had the first one built. Adding Fan Mode let the same engine carry both.

• Vanilla HTML/CSS/JS — no framework, no build step, no backend
• Camera access via getUserMedia, photo captured to a canvas and sent as base64 to the Gemini API (gemini-flash-latest) with a mode-specific prompt
• Each mode is just a different prompt string — Fan Mode’s prompt asks Gemini to respond “like a hyped-up sports commentator hyping up the crowd”
• Responses are read aloud via the browser’s Web Speech API (free, works offline once the page is loaded)
• The whole thing is one static index.html, so it deploys straight to GitHub Pages with HTTPS — which matters, because phones require a secure context for camera access

Prize Categories

Best Use of Google AI — Gemini’s vision model is the core of the app; every one of the five modes depends on it to analyze the photo.

Notes for judges: please test on a phone if possible — that’s the intended experience (rear camera + held up to real objects). Fan Mode is the new addition for this challenge; the other four modes existed before as an accessibility tool.