Vision to Kitchen Automated Recipe Predication through CNN Models

This project explores the use of Convolutional Neural Networks (CNNs) for food image recognition and recipe generation. The model analyzes food images, extracts features, and maps them to suitable recipes. While handling diverse cuisines remains a challenge, the study demonstrates the potential of CNNs for intelligent culinary applications. Future work may enhance accuracy by improving model architecture and training methods. The approach also shows promise for personalized cooking assistance. Overall, this work shows how AI can step into our kitchens, making food recognition and recipe suggestions smarter and more helpful.