"DRUG RECOMMENDATION SYSTEM USING STREAMLIT"

ABSTRACT

The "Drug Recommendation System" is designed to assist in diagnosing diseases based on their symptoms. The system classifies the disease by analyzing input symptoms and then provides personalized recommendations for medication, diet, dosage, and necessary precautions. By leveraging the Gemini model and utilizing an API key for processing, the system efficiently interprets the symptoms to identify the disease. Upon diagnosis, the system not only suggests appropriate medication but also includes a comprehensive guide on dietary changes, the recommended dosage, and essential precautions to ensure patient safety. This AI-powered system aims to streamline the healthcare process, offering quick and accurate insights to healthcare professionals and patients alike, facilitating better decision-making, and improving overall health outcomes. The platform prioritizes ease of use, accuracy, and safety, making it a valuable tool in both clinical and home healthcare environments.

Keywords: AI, Disease Classification, Medication Recommendation, Diet Suggestion, Dosage Recommendation, Precaution Guidelines, Gemini Model, API Integration, Healthcare AI, Disease Diagnosis, Symptom Analysis, Personalized Healthcare, Medical Assistance, Drug Recommendation System.