“Recipe Generation from Food Image Using Deep Learning”: A Comprehensive Review

Abstract: Job Food recognition and recipe generation have become important applications of Artificial Intelligence and Deep Learning in modern food technology. This paper presents “Recipe Generation from Food Image Using Deep Learning,” an intelligent system that automatically identifies food items from uploaded images and generates recipe titles, ingredients, and cooking instructions. The system uses Convolutional Neural Networks (CNNs) for food image feature extraction and Transformer-based Encoder-Decoder architectures with attention mechanisms for recipe generation. Natural Language Processing (NLP) techniques are applied to process ingredient lists and cooking instructions efficiently. The application is developed using Python, Flask, TensorFlow, and PyTorch, along with a web-based interface for realtime user interaction. The proposed system reduces manual recipe searching effort, improves user convenience, and provides intelligent cooking assistance. It can be applied in smart cooking assistants, restaurant systems, food recommendation platforms, and AI-based kitchen automation systems.

Keywords: Recipe Generation, Food Image Recognition, Deep Learning, CNN