AI-Powered Culinary Recognition and Recipe Platform for Enhanced Dish Identification, Recipe Accessibility, and User Experience
摘要
AI-Powered Culinary Recognition and Recipe Platform is a gen-one system that improves food recognition, access to recipes, and engagement. This is very robust in its reliance on advanced deep learning techniques, including Convolutional Neural Networks (CNNs) and the Vision Transformer (ViT), so it could make very accurate recognitions based on the images uploaded by the user of Indian as well as international dishes. This feature provides not only the classification of images that the user has taken but also nutritional analysis and suggestions for recipes based on the classification of images, providing elaborate instructions, cooking instructions, and ingredient suggestions for the user. The platform gives nutritional data to enable informed dietary decisions. FlairNosh therefore combines several AI methods and external APIs to ensure that food is correctly classified while being classified with nutrition awareness. It aims to deliver a smooth interaction for food lovers to explore food worldwide.