currency-detection

🔎A Currency Detection app for the visually impaired which automatically recognizes and tells which Indian currency note is clicked by the camera using Computer/Phone audio and TensorFlow model in the background🔎

This repository contains the code for the blogpost: How to Develop a Currency Detection Model using Azure Machine Learning

Android Application to help Visually impaired people.

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

An android app which detects Indian currency.

Android currency detection

This is an android application that helps the blind detect currency and gives feedback by means of audio output. It was trained on Kenyan banknotes Ksh 1000, 500, 200, 100, 50.

A Flutter application detecting Philippine banknotes for visually impaired users utilizing YOLOX object detection model.

Bangladeshi Currency Detect, Object Detect Android App using TensorFlow Lite image classification

A CLI Tool to recognize Indian Currency Notes

braillo is an application of Artificial intelligence bringing sight to visually impaired and low vision people by turning the visual world into an audible experience

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

A 3D Convolutional Neural Network visualizer for Algerian Banknotes. Inspired by the classic MNIST 3D visualization, adapted for currency with live forex rates.

📱 Android application for Visually Impaired People 🚶

Egyptian Currency real-time Detection 𓂀 𓁈 𓀛 𓁀 𓁳 𓀮

REST API for Bangladeshi Taka banknote detection using YOLOv8, built with FastAPI and containerized with Docker.

My First Project Deep Learning with Dataset source

🔍 Fake currency detection using image processing + machine learning. Analyzes texture, edges, patterns & frequency content of banknote images to classify them as real or fake. Built with Python, OpenCV, and scikit-learn.

A computer vision–based system for Pakistani currency denomination detection and fake-note verification.