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With The Growing Reliance On Digital Platforms, Ensuring Data Security And User Authentication Has Become A Critical Challenge. Traditional Text-based Passwords And Authentication Mechanisms Are Increasingly Vulnerable To Attacks Such As Phishing, Brute Force, And Shoulder Surfing. To Address These Limitations, This Work Proposes A Desktop Application That Leverages QR Code Generation And Recognition For Enhanced Data Security And Authentication. The System Allows Users To Securely Encode Sensitive Information Into QR Codes Using Encryption Algorithms, Which Can Only Be Accessed And Decoded By Authorized Users. In Addition, The Recognition Module Ensures Quick And Reliable Scanning Of QR Codes For Authentication, Reducing Risks Of Credential Theft And Unauthorized Access. The Proposed Approach Combines The Advantages Of QR Code Technology—such As Portability, Ease Of Use, And Error Correction—with Modern Security Techniques To Create A Robust, User-friendly, And Efficient Solution. This Framework Can Be Applied In Domains Such As Secure Login Systems, Document Protection, And Confidential Data Sharing, Providing A Scalable And Reliable Method For Safeguarding Digital Assets.