GastroGenie: Revolutionizing Culinary Choices Using NLP and Computer Vision
Disciplines
Artificial Intelligence and Robotics | Other Computer Sciences
Abstract (300 words maximum)
As dietary awareness and personalized nutrition become increasingly important, artificial intelligence (AI) has the potential to transform how individuals select and prepare meals. GastroGenie, an AI-powered recipe generator, leverages Natural Language Processing (NLP) and Machine Learning (ML) to provide dynamic, personalized recipe recommendations based on user-provided ingredients, dietary preferences, and nutritional goals. The system integrates deep learning models trained on the Recipe1M+ and Food-101 datasets to generate high-quality, diverse, and contextually appropriate recipes. Additionally, YOLO and EfficientNet models are implemented for real-time ingredient detection, allowing users to receive accurate recipe suggestions based on visual inputs.
A key component of GastroGenie is its Flask-based backend, which powers an interactive React.js frontend, while a PostgreSQL database stores user preferences, dietary history, and meal tracking data. To enhance nutritional guidance, the system is integrated with the USDA FoodData Central API, enabling real-time analysis of calorie counts, macronutrient composition, and dietary recommendations. The methodology involves data preprocessing, model training using transformer-based NLP architectures (such as GPT or BERT), and evaluation metrics such as BLEU and ROUGE scores to assess recipe generation accuracy.
Beyond simple meal suggestions, GastroGenie incorporates interactive features like AI-powered meal planning, adaptive calorie tracking, and user-generated recipe sharing, offering a comprehensive dietary management system. The anticipated outcome of this research is an AI-driven culinary assistant that enhances user engagement, improves meal planning efficiency, and supports healthy eating habits. By bridging advanced AI with real-world dietary needs, GastroGenie seeks to revolutionize food recommendations, making personalized meal planning more accessible, accurate, and user-friendly.
Academic department under which the project should be listed
CCSE - Computer Science
Primary Investigator (PI) Name
md Abdullah al Hafiz Khan
GastroGenie: Revolutionizing Culinary Choices Using NLP and Computer Vision
As dietary awareness and personalized nutrition become increasingly important, artificial intelligence (AI) has the potential to transform how individuals select and prepare meals. GastroGenie, an AI-powered recipe generator, leverages Natural Language Processing (NLP) and Machine Learning (ML) to provide dynamic, personalized recipe recommendations based on user-provided ingredients, dietary preferences, and nutritional goals. The system integrates deep learning models trained on the Recipe1M+ and Food-101 datasets to generate high-quality, diverse, and contextually appropriate recipes. Additionally, YOLO and EfficientNet models are implemented for real-time ingredient detection, allowing users to receive accurate recipe suggestions based on visual inputs.
A key component of GastroGenie is its Flask-based backend, which powers an interactive React.js frontend, while a PostgreSQL database stores user preferences, dietary history, and meal tracking data. To enhance nutritional guidance, the system is integrated with the USDA FoodData Central API, enabling real-time analysis of calorie counts, macronutrient composition, and dietary recommendations. The methodology involves data preprocessing, model training using transformer-based NLP architectures (such as GPT or BERT), and evaluation metrics such as BLEU and ROUGE scores to assess recipe generation accuracy.
Beyond simple meal suggestions, GastroGenie incorporates interactive features like AI-powered meal planning, adaptive calorie tracking, and user-generated recipe sharing, offering a comprehensive dietary management system. The anticipated outcome of this research is an AI-driven culinary assistant that enhances user engagement, improves meal planning efficiency, and supports healthy eating habits. By bridging advanced AI with real-world dietary needs, GastroGenie seeks to revolutionize food recommendations, making personalized meal planning more accessible, accurate, and user-friendly.