This project involves developing an advanced AI-based bioinformatics algorithm designed to diagnose and classify Irritable Bowel Syndrome (IBS) with greater accuracy and efficiency than traditional methods. By analyzing genetic markers, gut microbiome composition, patient-reported symptoms, and clinical data, the algorithm aims to provide a more precise and personalized approach to IBS diagnosis.