Fake Nepali Currency Detection using ORB, SSIM and Contour Detection This project addresses the issue of counterfeit Nepali currency by developing a platform for reliable detection. The system utilizes advanced image processing techniques, including ORB for identifying and matching key points between images, SSIM for scoring the similarity of compared notes, and Contour Detection for feature extraction. Implemented in Python, the platform ensures efficient performance and reduces time complexity. By creating a custom, manually curated dataset, the system achieves improved accuracy, providing a dependable tool for detecting fake Nepali currency.