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.
Awards
Group Award Prize
Procor Engineering AwardsProcor Engineering Award - Intermediate$ 100
Farncombe Family Digestive Health Research AwardsFarncombe Family Digestive Health Research Award$ 250