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Hello everyone. Last week, we developed an AI model that predicts greyhound race results. This model analyzes and learns from the race results of the past year to predict the likely winner of the next race and calculates the break-even point based on the odds. Developed using AutoGen, this model predicted the leading contenders with 87% accuracy, which is a notable achievement in the betting industry. Are there any of you currently working on similar projects or have any ideas? Modec is currently researching ways to increase the probability of recommending leading contenders to over 93%.