the Weekend Challenge: Passion Edition-(Passion-Roast)

A developer built Passion Roast, an AI 'Passion Judge' that analyzes photos of fan setups, collections, or hobby corners and generates personalized roasts, scores devotion out of 100, and issues a mock diploma. The app uses Gemini's multimodal reasoning to reference specific details in the image rather than providing generic responses.

This is a submission for Weekend Challenge: Passion Edition Passion Roast is an AI "Passion Judge" that looks at a photo of your fan setup, collection, or hobby corner — plus the name of whatever you're obsessed with — and roasts you for it, scores your devotion out of 100, and hands you a mock diploma for your dedication. The goal was simple: capture the universal feeling of being a little too into something you love, and let an AI genuinely react to real, specific details in your photo instead of giving generic responses. 🔗 Live app: https://passion-roast-production.up.railway.app https://passion-roast-production.up.railway.app 🎥 Demo video / GIF: <link here Try it with a photo of anything you're passionate about — a jersey collection, a gaming setup, houseplants, vinyl records, whatever. Each roast is generated fresh from what's actually in the picture. https://github.com/NOVA-X-Code/passion-roast https://github.com/NOVA-X-Code/passion-roast inlineData and the declared passion are sent together to Gemini with a system prompt defining "The Passion Judge" persona. Gemini is instructed to return I deliberately kept the stack to a single external API. Rather than chaining multiple services, I focused on getting real value out of Gemini's multimodal reasoning: the roast has to reference actual details Gemini sees in the image, not just repeat the passion name back with generic flattery/insults.