Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{182973,
        author = {Nidhishree M P and Prof. Venkatesh U. C and Dr. Prajna M R and Dr. Balpradeep K N},
        title = {Smart Plate: AI-Driven Nutrition and Allergy Detection through Food Scanning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {4057-4062},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182973},
        abstract = {With increasing focus on health, nutrition, and food allergies, technology-enabled dietary monitoring has become vital. Smart Plate is an AI-driven system designed to recognize Indian dishes from food images, assess their nutritional content, and detect potential allergens. Using a trained deep learning model, the system predicts dish names with high accuracy and retrieves recipes, ingredients, and serving sizes from a custom dataset. Nutritional values are computed via a JSON-based database. Users can specify allergens, which are cross-checked against identified ingredients to provide instant alerts. A Streamlit interface supports login, image uploads, history tracking, and personalized dietary analysis. Smart Plate offers a practical, user-friendly solution that integrates deep learning, computer vision, and health informatics to support safe and informed eating habits.},
        keywords = {Smart Plate, Food image recognition, Indian dishes, Nutritional content, Allergen detection, Deep learning, Computer vision, Health informatics, Dietary monitoring, Streamlit interface},
        month = {July},
        }