Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jacob, Ann Mariya; Resmi, K.R.; Vineetha, K.R. Title A name given to the resource Computer Vision for Real-Time Nutrition Scanning in Polycystic Ovary Syndrome Management Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived 2026 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2026; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SCEECS68810.2026.11429906" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SCEECS68810.2026.11429906</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037934873?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037934873?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jacob A.M., Christ University, Department of Computer Science, Karnataka, Bengaluru, India; Resmi K.R., Christ University, Department of Computer Science, Karnataka, Bengaluru, India; Vineetha K.R., Christ University, Department of Computer Science, Karnataka, Bengaluru, India Description An account of the resource PCOS stands for polycystic ovary syndrome and it is widely known to be one of the leading causes of insulin resistance and hormonal imbalance among women within the reproductive age spanning from 8 to 13%. Although integrating a healthy diet is a crucial step while managing PCOS, the outdated and frustrating method of manually food logging slows the process and still lacks accuracy. Improving performance feedback is one of the key areas to ensure adherence to a healthy plan. This is the driving reason behind the development of 'NutriScan-PCOS.' In the PCOS focused Streamlit App, the PCOS diet MobileNet application nutrition model helps to do just that. It is trained on 4000 images of 80 diverse Indian foods for quick identification and portion size estimation with OpenCV. The driving function of the app is to track meals and overall nutrition value, scoring on a dynamic scale on 5 parameters focused on the impact on PCOS. It is designed to be user-centric, with a clear green-yellowred traffic system to ensure guidance is instantaneous and easy. NutriScan-PCOS runs on a Streamlit interface with options like photo upload, live camera, barcode scan, and daily logs-making it easy and practical for everyday use. 2026 IEEE. Subject The topic of the resource Glycemic Index; MobileNetV2; OpenCV; Polycystic Ovary Syndrome (PCOS); Streamlit Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833157116-0; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online