In patients having coronary angiography or percutaneous coronary intervention (PCI) at Hayatabad Medical Complex (HMC), Peshawar, and Saidu Teaching Hospital (STH), Swat, the purpose of this research was to find significant predictors of contrast-induced nephropathy (CIN). Between September 2023 and August 2024, 240 patients were recruited; of them, 28 (11.7%) had CIN. Multivariate logistic regression analysis was used to identify key independent predictors of CIN. The results showed that higher contrast volume (OR = 2.36, p < 0.001), diabetes mellitus (OR = 1.95, p = 0.02), and lower baseline renal function, as measured by estimated glomerular filtration rate (eGFR) (OR = 2.14, p = 0.001), were significantly associated with increased risk. With an area under the curve (AUC) of 0.81, the predictive model derived from these factors showed high accuracy and great discriminative capacity in predicting the risk of CIN. The prevalence of CIN was found to be similar to that of prior research in comparable populations, highlighting the need of limiting contrast volume and carefully monitoring individuals suffering from renal impairment or diabetes. In order to improve patient outcomes and lessen the burden of CIN, this model may be a helpful tool in clinical practice for determining the risk of CIN and directing preventative actions, especially in high-risk populations.