This document proposes a smart recipe system that uses sensors to detect the level of ingredients in containers in a user's kitchen. It connects to a cloud database to store this ingredient level information. When a user wants to cook, the system can quickly generate a list of recipe recommendations based on the ingredients that are available. It aims to help users decide what to cook by checking current ingredient levels in real-time and matching them to recipes. The system architecture involves level sensors, cloud data storage, and a mobile app for users to select from the recommended recipes. The goal is to minimize the time users spend deciding what to make after a long day by leveraging sensor data and automated recommendations.