DESIGN AND IMPLEMENTATION OF AN AI-DRIVEN CULINARY RECOMMENDATION SYSTEM
Abstract
The rise of digital technology has transformed how individuals explore and prepare culinary dishes, yet challenges remain in providing personalized and efficient recipe recommendations. This project aims to address this gap by designing and implementing an AI-driven culinary recommendation system.
Traditional recipe platforms often overwhelm users with generic suggestions, making it difficult to find dishes tailored to dietary preferences, skill levels, or available ingredients. This can lead to frustration and disengagement. By leveraging artificial intelligence (AI), this project seeks to overcome these hurdles by offering a personalized and intuitive culinary experience.
The application of AI in culinary recommendation systems offers numerous benefits, including tailored recipe suggestions based on user preferences, real-time ingredient availability checks, and adaptive learning from user feedback. The project will focus on developing an AI system integrated into a mobile application, providing users with customized recipe recommendations, step-by-step cooking guidance, and nutritional insights.
Ultimately, by harnessing AI technology to enhance culinary recommendations, this project aims to improve user satisfaction, encourage healthier eating habits, and streamline the cooking process in an increasingly digital culinary landscape.
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