Computer Vision for Real-Time Nutrition Scanning in Polycystic Ovary Syndrome Management

Title

Computer Vision for Real-Time Nutrition Scanning in Polycystic Ovary Syndrome Management

Creator

Jacob, Ann Mariya; Resmi, K.R.; Vineetha, K.R.

Description

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 Although integrating a healthy diet is a crucial step while managing PCOS, the outdated and frustrating method of manually food logging slows the process and still lacks accuracy.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.

Source

2026 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2026;

Date

01-01-2026

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Glycemic Index; MobileNetV2; OpenCV; Polycystic Ovary Syndrome (PCOS); Streamlit

Coverage

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

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833157116-0;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/SCEECS68810.2026.11429906

https://www.scopus.com/pages/publications/105037934873?origin=resultslist