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Niblu
Fig: Food Scanner & Discovery
Yuka
Spokin
Nutritics
Kaboodle
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Niblu is a menu safety co-pilot for people with allergies, intolerances, and restrictive diets. Snap a menu (photo or PDF), set what you avoid (like dairy, gluten, eggs, nuts, shellfish), and Niblu flags risky dishes and highlights safer picks so you can order with confidence.
Unlike barcode-first food scanners, Niblu is built for dining out: messy menu photos, unclear ingredients, and decision-making under time pressure. Save your preferences once, react to dishes (love / ok / nope), and get smarter recommendations over time.
Coding Assignment HelpNiblu's answer:
Niblu is menu-native. It reads real restaurant menus (photos/PDFs), then turns them into a clear decision: Safe, Unsafe, or Uncertain based on your personal allergy/intolerance profile, with the โwhyโ behind each call.
Niblu's answer:
Most tools are barcode-first or database-first. Niblu is built for the moment you actually need help: when youโre staring at a menu at the table. Itโs fast, personal, and improves over time as you save preferences and react to dishes.
Niblu's answer:
People who eat out and need to avoid specific ingredients due to allergies, intolerances, or restrictive diets (dairy-free, gluten-free, egg-free, nut-free, vegan, halal), especially travelers and busy diners.
Niblu's answer:
Next.js, TypeScript, React, PostgreSQL, Tailwind CSS, Three.js, plus AI vision + language models for menu understanding.
Niblu's answer:
Niblu started from the simple problem: eating out with restrictions is stressful, slow, and easy to mess up. The goal is to make restaurant dining safe and actually enjoyable again, with a tool that reads menus the way humans wish menus were written.
Niblu's answer:
My programming assignment, in general, is good, I got 81 out of 100, and I was planning to get more, but it is still I still want to work with your team, and looking forward to receiving good work from a great team. I received some notes about the PPT that it was very basic, but overall, I would really thank you for the quick response and actions from your side in a perfect timeline :)