Home » Projects » PCOScope Image Processing Driven Non-Invasive Screening of PCOS Using Tongue Image Analysis
PCOScope Image Processing Driven Non-Invasive Screening of PCOS Using Tongue Image Analysis
Team: vg_vanya
Project Details
Project Description: PCOScope is a revolutionary, AI-powered, non-invasive screening tool designed to detect Polycystic Ovary Syndrome (PCOS) early and accurately. Combining modern technology with traditional health insights, PCOScope analyzes high-quality tongue images and user-reported symptoms to determine the likelihood of PCOS. The tool uses advanced machine learning algorithms trained on a large dataset to recognize subtle signs such as coating, color, and texture changes in the tongue — indicators of underlying hormonal imbalances.
In addition to tongue analysis, PCOScope includes a quick symptom quiz, data logging features, a multilingual chatbot help desk, and informative videos to raise awareness and guide users. Requiring only a smartphone, it is accessible, affordable, and ideal for low-resource settings. With over 94% accuracy in trials, PCOScope empowers women by enabling early detection, encouraging timely medical consultation, and supporting proactive health management. It's more than a screening tool — it’s a step toward healthcare democratization.
