• Amit Nerurkar
• Sakshi Maske
• Shreya Pednekar
• Vaishnavi Chalke
• Shivani Herlekar

This paper introduces the concept of designing an Intelligent Process Automation Model for Recipe Suggestion & Prediction that leverages the power of machine learning and artificial intelligence to provide recipe suggestions and culinary advice specifically tailored to each user. The developed model will generate custom-made recipe suggestions, ingredient substitution proposals, and provide feedback and learning capabilities. Through suggesting recipes based on the user’s dietary preferences, the ingredients they have in hand, and their competency in cooking the model will help people develop a more balanced and varied meal plan. This research paper will describe the development and design of an intelligent cookbook, as well as identify and discuss possible implications for the food industry.

AI Cookbook, Intelligent Recipe Recommendations, Dynamic API Integration, Machine Learning in Cooking

"Intelligent Process Automation for Recipe Suggestion & Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.c243-c253, May-2024, Available :http://www.jetir.org/papers/JETIR2405229.pdf

"Intelligent Process Automation for Recipe Suggestion & Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppc243-c253, May-2024, Available at : http://www.jetir.org/papers/JETIR2405229.pdf