Paper Contents
Abstract
GastronomIQ is an innovative project leveraging ArtificialIntelligence (AI), Natural Language Processing (NLP), andgreedy optimization algorithms to revolutionize mealplanning. Utilizing Python libraries such as TensorFlow,PyTorch, and scikit-learn, GastronomIQ integrates advancedAI techniques to analyze and predict user preferences. NLPlibraries, including NLTK and spaCy, process and understanduser inputs, such as dietary restrictions, favorite cuisines, andmeal preferences, generating highly personalized meal plans.The system employs greedy optimization to efficientlyallocate ingredients and recipes, ensuring cost-effectivenessand minimizing food waste. By dynamically adjusting mealplans based on user feedback and seasonal ingredientavailability, GastronomIQ offers a highly adaptive and usercentric solution. The project also features an intuitive userinterface that facilitates seamless interaction and real-timeadjustments to meal plans. GastronomIQ aims to enhance themeal planning experience by providing users with tailored,nutritious, and delicious meal options, ultimately promotinghealthier eating habits and reducing the environmental impactof food consumption. Through its sophisticated use of Pythonand NLP libraries, AI methodologies, and optimizationtechniques, GastronomIQ stands at the forefront of smartmeal planning technology. In conclusion, GastronomIQoffers a practical and intelligent approach to daily nutritionmanagement, setting a new standard in personalized mealplanning solutions.
Copyright
Copyright © 2025 P. Kamakshi Thai. This is an open access article distributed under the Creative Commons Attribution License.
