Comparative Analysis of GPT-2 and LSTM Models for Indian Recipe Generation: A Machine Learning Approach

Traditional recipe instructions often lack personalization, impeding culinary exploration and causing confusion among home cooks.In response, we introduce an AI-powered recipe instructions generator and advisor aimed at revolutionizing the cooking experience.By leveraging natural language processing, machine learning, and the Generative Pre-trained Transformer 2 (GPT2) model, our system analyses ingredients, user preferences, and real-time cooking data to provide tailored step-by-step instructions and expert advice.Incorporating fuzzy logic and LSTM models, our solution adapts instructions to diverse culinary preferences and dietary needs.The system empowers users to explore new recipes confidently while minimizing food waste and enhancing culinary creativity.Our analysis demonstrates a substantial increase in user satisfaction and culinary empowerment, highlighting the trans-formative potential of AI in making cooking more personalized, accessible, and enjoyable.This project marks a significant step towards a future where AI -driven technology enriches the culinary journey for all enthusiasts.