Published Paper Details:

The Drug Recommendation System in Medical Emergencies using Machine Learning is a web-based application designed to predict suitable medications based on a given set of symptoms. The system is built using the Flask framework and integrates a pre-trained Random Forest model to process user-inputted symptoms and generate predictions. The application provides functionalities such as user login, dataset upload, data preview, and prediction visualization through an interactive web interface. The system allows users to input symptoms, which are then processed by the machine learning model to determine an appropriate drug recommendation. Additionally, the platform features a structured navigation system, carousel-based UI elements, and multiple web pages for different functionalities, including performance analysis and data visualization. This project aims to enhance accessibility to medical predictions by leveraging machine learning for symptom-based drug recommendations.