Identification of Fake Indian currency using CNN(Android app)

Project Code :TCMAAN1129

Objective

The objective of this project is to create an Android application that utilizes image processing and machine learning techniques to accurately detect counterfeit Indian currency. By providing a user-friendly interface, the app aims to empower individuals and businesses to quickly verify the authenticity of currency notes, thereby reducing the risk of financial losses due to counterfeit transactions. the project seeks to raise awareness about counterfeit currency issues and contribute to efforts aimed at combating counterfeit currency circulation in India. Overall, the goal is to enhance trust and security in the financial system through technological innovation and accessibility.

Abstract

An Android app designed to identify fake Indian currency employs a straightforward process. Users register and log in with their credentials. Upon logging in, they can capture an image of the currency note using their device's camera. The app utilizes a machine learning model, trained to distinguish between genuine and counterfeit currency. Once the image is processed, the model runs an analysis and swiftly returns the result, indicating whether the currency is real or fake. This process empowers users to quickly verify the authenticity of currency notes, offering a convenient solution to combat counterfeit currency circulation. Implemented in Kotlin, the app provides a user-friendly interface, ensuring ease of access and utilization for individuals seeking to safeguard against fraudulent transactions.

KEYWORDS: Mobile application, Android.

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