This project presents the development of an Anesthesia Dosage Level Prediction using machine learning techniques. Anesthesia dosage level is a critical task in medical practice, and inaccurate level can lead to patient safety concerns. This project aims to enhance the precision and efficiency of anesthesia dosage calculations by leveraging regression algorithms and boosting algorithm. The proposed system provides an intuitive for medical professionals, ensuring accurate and safe anesthesia administration. Anesthesia is a fundamental component of surgical procedures, and precise dosage Level Prediction is crucial for patient safety. Existing manual methods for calculating anesthesia dosages can be error-prone and time-consuming. This project introduces an innovative solution that employs machine learning techniques to automate and optimize anesthesia dosage calculations, reducing the risk of errors.