Cholesterol is essential for cell structure, hormone production, and metabolism, but high levels raise the risk of cardiovascular diseases. Traditional detection methods like enzymatic assays and chromatography are invasive and not ideal for frequent use. This study explores Fourier Transform Infrared (FTIR) Spectroscopy as a non-invasive alternative. FTIR detects molecular vibrations, with key peaks at 1000 cm-1 (C-H bending) and 3000 cm-1 (O-H stretching) that indicate cholesterol presence. Tests on synthetic samples showed 9095% accuracy. Compared to standard methods, FTIR is faster, cheaper, portable, and reagent-free. The findings support the development of wearable FTIR devices for continuous cholesterol monitoring, with future enhancements possible via machine learning.