ONLINE TESTING AND MONITORING QUALITY MEDICINES AND CONSUMBALES

Abstract

The Online Testing and Monitoring of Quality Medicines and Consumables system is designed to help identify whether a medicine or consumable product is safe and suitable for use by using machine learning techniques. The system allows users to enter the details of a medicine, such as its composition, manufacturing information, and other quality-related parameters. Based on a trained dataset, the machine learning model predicts whether the medicine is consumable or nonconsumable. the application provides an easy-to-use online platform where users can quickly verify the quality status of medicines before use. It also helps reduce the risk of consuming low-quality or unsafe medicines by providing fast and accurate predictions. The system improves transparency, supports quality monitoring, and assists users in making informed decisions. This project demonstrates how machine learning and web technologies can be integrated to enhance medicine quality assessment and contribute to public health and patient safety.