MEDICINE RECOMMENDATION USING PATIENT

The Medicine Recommendation System is developed to suggest suitable medicines based on patient data using machine learning. Health parameters and medical history are analyzed by a Single Board Computer (SBC) to generate personalized medicine recommendations. The system supports decision-making for treatment planning. This project uses an SBC, ML algorithms, patient datasets, and data analytics, making it suitable for smart healthcare and decision support systems.