Ensuring the safety and well-being of consumers relies heavily on maintaining the high quality of milk. Addressing this concern, a research study has developed a novel milk detection system utilizing Fourier Transform Infrared (FTIR) spectroscopy. By harnessing the spectral data obtained through FTIR analysis, this system effectively determines the quality of milk samples by examining their chemical composition. The system incorporates a sophisticated machine learning algorithm for data analysis, enabling the classification of milk samples into distinct quality grades. In addition to identifying milk adulteration and contamination, this innovative system also detects any alterations in milk composition. Its implementation holds great potential for enhancing milk quality control measures and safeguarding consumer health