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Malaria is a life-threatening disease caused by Plasmodium parasites transmitted to humans through the bites of

infected mosquitoes. Early and accurate diagnosis is crucial for effective treatment and reducing mortality rates.

Traditional diagnostic methods, like microscopic examination, require skilled personnel and are time-intensive. This

project addresses the challenge of developing a fast, accurate, and scalable solution for malaria detection by

leveraging deep learning techniques.