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Mental health disorders, including panic attacks, are rising globally. Traditional diagnosis relies on self-reports, which can be subjective. Using machine learning and neural networks, our project analyzes physiological and lifestyle data to predict panic attacks, enabling proactive management and intervention to improve mental well-being.

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Mental health disorders, including panic attacks, are rising globally. Traditional diagnosis relies on self-reports, which can be subjective. Using machine learning and neural networks, our project analyzes physiological and lifestyle data to predict panic attacks, enabling proactive management and intervention to improve mental well-being.

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