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Module A: Intelligent Data Analysis

Project Background Explanation

Project Background Explanation

Obesity risk is a topic of widespread concern. The causes of obesity are complex and diverse, influenced not only by individual lifestyle choices but also by environmental and social factors. A person’s dietary structure and exercise habits largely determine their risk of obesity. In today’s society, the increasing availability of convenient high-calorie, high-fat, and high-sugar foods, combined with a fast-paced lifestyle, has made unhealthy eating and lack of exercise commonplace. Additionally, psychological factors should not be overlooked. Issues such as stress, anxiety, and depression can lead to uncontrolled eating, further increasing the risk of obesity. Overall, the complexity of obesity risk goes far beyond individual choices and willpower, necessitating a deeper exploration of its roots and a comprehensive approach to finding solutions.

During the competition, participants can fully utilize the AI functions built into the environment. By leveraging intelligent assistance tools, participants can improve problem-solving efficiency and accuracy, enabling them to better tackle various challenges. AI technology will provide real-time support, helping participants make quicker and more precise decisions throughout the competition.

Module A: Intelligent Data Analysis

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