Music Information Retrieval (MIR) is a field of study focused on extracting useful information from music data. It combines techniques from computer science, musicology, and signal processing to analyze audio signals, musical scores, and metadata. MIR aims to improve how we search, organize, and recommend music, making it easier for users to find what they want. Key applications of MIR include music recommendation systems, automatic genre classification, and music transcription. By utilizing algorithms and machine learning, researchers can develop tools that help identify patterns in music, such as melody, rhythm, and harmony. This enhances the overall music experience for listeners and creators alike.