NutriLens is a web-based tool that simplifies and automates the analysis of packaged food labels using OCR and NLP. It extracts text from label images and applies rule-based logic, combined with guidelines from sources like WHO and FDA, to evaluate ingredients and nutritional content. The system then generates a health score from 1 to 10, highlighting harmful additives and offering actionable insights. Designed with scalability in mind, the modular backend supports extensions like barcode scanning, user-specific dietary filtering, and real-time recommendations, making food evaluation faster, safer, and smarter for end-users. By automating the analysis and interpretation of complex food labels, NutriLens reduces manual effort, enhances food transparency, and empowers users—especially those with dietary restrictions—to make quicker, safer, and more informed choices. Increased the accuracy of the model by 90%.