Polycystic Ovarian Disorder (PCOD) is often underdiagnosed in its early stages due to lack of awareness, irregular health monitoring, and limited access to preventive screening tools. Many women ignore early symptoms such as irregular menstrual cycles, weight gain, acne, and hormonal imbalance until the condition becomes severe. Traditional diagnosis typically requires multiple clinical tests, ultrasound scans, and specialist consultations, which may not always be accessible or affordable.

Rutuchakra addresses this gap by providing an AI-powered early risk assessment tool that helps users identify potential PCOD risk based on lifestyle and symptom inputs. Instead of replacing medical diagnosis, it acts as a preventive screening assistant.

What People Can Use It For:

Early PCOD risk estimation using symptom and lifestyle data
Monitoring menstrual health patterns over time
Identifying warning signs before complications increase
Receiving basic lifestyle recommendations for risk reduction
Encouraging timely medical consultation

How It Makes Existing Tasks Easier & Safer:

Reduces dependency on immediate clinical testing for preliminary screening
Promotes early awareness and proactive healthcare behaviour makes menstrual health tracking structured and data-driven provides accessible health insights without stigma or hesitation by combining machine learning with structured health inputs, Rutuchakra simplifies early screening, empowers women with data-backed insights, and supports preventive healthcare decision-making