The Problem
Most recipe apps overwhelm users with an endless list of options without considering what they actually have at home or what they truly enjoy eating. Users needed a smarter, more intuitive way to find recipes that fit their lifestyle.
Context
Sabai was designed as a next-generation smart cooking tool, leveraging AI to analyze user habits, suggest personalized meals, and make cooking stress-free.
Methodology
✅ Conducted user research to understand cooking pain points
✅ Analyzed competitor apps to identify gaps in the market
✅ Designed an AI-powered recommendation system using location, fridge inventory, and past user interactions
Key Insights
Users struggled with meal planning and wanted quick, personalized suggestions
People often had ingredients at home but didn’t know what to cook
AI-driven recommendations increased engagement, as users trusted smart suggestions over manual browsing
Project Definition
Personas
A busy, food-loving individual who juggles work, family, and a passion for good meals but struggles with planning, food waste, and finding inspiration. They seek stress-free, personalized recipes that fit their lifestyle: whether it’s quick weekday dinners, budget-friendly meals, or exciting new dishes to try.
User Stories/Jobs to Be Done
Make cooking effortless by suggesting smart, personalized recipes using what I have, so I can enjoy great meals without stress or waste.
