The Side Effects of Drug Prediction System is designed to analyze and predict possible side effects of medicines using machine learning techniques. Patient data and drug-related information are processed by a Single Board Computer (SBC) to identify patterns associated with adverse reactions. The system helps in early identification of potential risks before medication usage. This project uses an SBC, ML algorithms, medical datasets, data analysis techniques, and embedded programming, making it suitable for healthcare analytics and pharmaceutical research applications.
Department
Electronics and Communication Engineering
Type
major
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