The data reveals that over 2/3 of elderly individuals are currently taking five or more medications, which raises adverse drug interaction risk by 50%. Even more concerning, potential drug and food interactions occur twice a month, even causing disabilities and deaths. However, clinical examinations for all potential drug interactions are time-consuming and resource-intensive, rendering it impractical to identify every genuine interaction. Furthermore, the web is filled with false and non-authoritative information, making it difficult for seniors to receive accurate medication guidance. The substantial user base also makes it challenging for healthcare professionals to individually help everyone with polypharmacy issues. To address this issue, we developed EasyMed, an artificial intelligence-powered application that utilizes the molecular compound structures of drugs and food to predict adverse interactions. EasyMed also integrates multiple AI technologies, including drug and food recognition and text-to-speech capabilities, to assist users in managing medications safely and efficiently.