Prediction of Drugs Consumption using Neutral Network

This research is about Drug Interaction AI, a mobile app powered by advanced artificial intelligence (AI) algorithms that solves drug safety and adverse interaction issues. By evaluating drug combinations, detecting potential risks, contraindications, and side effects, and delivering users clear, useful information, and the system is reacting to major healthcare demands. The application provides real-time analysis based on sophisticated AI techniques and an enormous medical database to help patients and doctors make wise decisions. The proposed application is characterize by robust architecture that incorporates machine learning algorithms and natural language processing (NLP) techniques to ensure accurate and scalable drug interaction detection. Features such as real-time reminders, drug-specific use recommendations, and personalized pharmaceutical safety information make it more beneficial. The platform is fortify with safe data pipes, modular construction governed by APIs, and ease-of-use online and mobile interfaces to ensure availability and reliability. Our work provides a revolutionary solution for handling drug interactions and enhances drug safety by combining the latest AI technology with practical health care requirements. Additional research is recommend enhancing multilingual support, adding predictive analytics, and expand the database to future drug to further enhance global use and reach.