Smart Object-Based Recipe Recommender is an AI-powered application that suggests recipes based on food items detected in images. Using computer vision and deep learning, the system analyzes uploaded images to identify ingredients such as fruits, vegetables, grains, or packaged foods. Once the objects are recognized, the application matches them with a curated recipe database to recommend suitable dishes. It also provides cooking steps, ingredient lists, and optional nutritional insights. Built using Python, OpenCV, and machine learning models, this project demonstrates how AI can simplify meal planning, reduce food waste, and enhance user experience by transforming everyday food images into smart, actionable cooking recommendations.