• Aruna.M
• Dharshana.M
• Dharunhari D
• Kartik Madankumar
• Kirubadharshini

Poly-Cystic Ovarian Syndrome, or PCOS, is a disorder that affects a large percentage of women worldwide who are of reproductive age and can develop at any point after puberty. Most people who are diagnosed are in their 20’s or 30’s age. That plays a significant role the infertility reason. There aren't many clinical tests available right now to identify PCOS, which burdens patients. In order to address this issue, the system for the quick and simple detection of PCOS is proposed in this work. It involves the development of a software application using HTML that has appropriate symptoms and crucial biomarkers.

PCOS, SHBG, Androgen (FAI), HTML

"PREDICTION OF POLY-CYSTIC OVARIAN SYNDROME VIA WEBSITE CREATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.g242-g247, June-2024, Available :http://www.jetir.org/papers/JETIR2406630.pdf

"PREDICTION OF POLY-CYSTIC OVARIAN SYNDROME VIA WEBSITE CREATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppg242-g247, June-2024, Available at : http://www.jetir.org/papers/JETIR2406630.pdf