FoodX: An AI-Powered System for Packaged Food Ingredient Analysis and Personalized Health Recommendations

Abstract: This research presents a technology-driven solution aimed at simplifying the understanding of nutritional information

in packaged food products. With the increasing consumption of processed food and rising health concerns, there is a growing

need for tools that enable informed dietary decisions. The proposed system integrates optical character recognition (OCR),

machine learning (ML), and natural language processing (NLP) to extract, analyze, and personalize nutritional data from

product labels. By incorporating user-specific health profiles and real-time image processing, the system offers personalized

health insights, alternative recommendations, and educational content to encourage healthier eating habits. Designed with a

focus on accessibility, this solution aims to bridge the gap between food packaging and public understanding, promoting

proactive health management and consumer empowerment through intelligent food analysis