Uses retrained MobileNetV2 classification models to determine whether an Indian currency note is fake or real (based on watermark and fluorescent strip)

Digital Systems Course Project: Fake Currency Detection in Verilog using Basys3 FPGA and MATLAB

Welcome to the Fake Currency Detection Project! It is an AI project aimed at identifying counterfeit currency through image analysis. This project utilizes computer vision techniques to differentiate between real and fake currency notes by analyzing their visual features.

Fake Currency Detection using Logistic Regression Algorithm

Paper : Quantitative Currency Evaluation in Low-Resource Settings through Pattern Analysis to Assist Visually Impaired Users

A computer vision-based counterfeit currency checker for Indian banknotes that leverages image processing and machine learning to identify counterfeit notes from uploaded images.

AI-Powered Digital Public Safety Predict. Protect. Prosecute. (Developed for ET AI Hackathon 2.0)

Fake Currency Detection

An AI-powered end-to-end system for detecting counterfeit Pakistani banknotes using deep learning, computer vision, and ensemble model inference. The system combines a Next.js frontend with a FastAPI backend and multiple ML models (CNN, YOLO, scikit-learn) to analyze currency security features in real-time.

Developed a Fake Currency Detector using Verilog HDL and Implemented the same on a Basys 3 FPGA Board