International Journal of Science, Engineering and TechnologyAuthors: Atharv Mane, Suyash Thombare, Pratik Patil, Varadraj Nangare, Saniya Attar, Dr. Jagruti Jankar
Abstract: Pregnancy is a vital stage for any woman. The dietary preferences significantly influence the mother's health and the growth of the baby. Nevertheless, pregnant women in India face difficulties in understanding whether a particular packaged food is safe for their health during pregnancy. The reasons include complicated labeling systems, confusing scientific names of ingredients used in the food products, and absence of specific information regarding the pregnancy-related safety of such products. Thus, this research paper introduces HIRKANI – a web application, which combines AI technologies and other approaches for providing timely and evidence-based information about food safety for pregnant women. Specifically, HIRKANI applies the barcode scanning technique, OCR algorithms, and image recognition performed by AI for identifying different food products and assessing their safety. The product safety rating is evaluated using a rule engine that considers the recommendations issued by FSSAI, ICMR-NIN, and WHO. In total, the application distinguishes between safe, consume with caution, and avoid food products
