P20 : Decoding the Gut: AI-Powered Predictive Analysis of Gut Microbiome for Early Disease Detection


Students Andy Wang
School HDSB - Oakville Trafalgar High School - Oakville
Level Intermediate 9/10 - Grade 10
Group Group 13 - Engineering and Computing V
Abstract The purpose of this project is to develop an AI-driven system that analyzes gut microbiome data to detect early signs of gut-related diseases. By utilizing the power of machine learning models, the system aims to provide a faster, more accurate, and non-invasive diagnostic tool compared to traditional methods, offering early intervention opportunities and improving patient outcomes through precise disease risk prediction and comprehensive microbiome analysis.