COVID DETCTION

The COVID Detection System is developed to identify COVID-19 cases using machine learning models. Medical data such as X-ray images or symptom datasets are processed on a Single Board Computer (SBC) using trained ML algorithms. The system classifies cases as positive or negative with high accuracy. This enables faster screening and early diagnosis. This project uses an SBC, ML models, medical datasets, and data processing techniques, making it suitable for healthcare diagnostics and disease detection applications.