QR Code Crypt: A Comprehensive Approach to Secure Offline Demography Data Storage

In the realm of secure and accessible data storage, the "QR CODE CRYPT'' project emerges as an innovative solution that seamlessly integrates Flutter, Java, and Python to address the challenges of offline data retrieval, verification, and storage. Leveraging Flutter's cross-platform capabilities, the project establishes a user-friendly interface for data collection and QR code generation. The robust ChaCha20-poly encryption algorithm safeguards sensitive demographic data, including name, date of birth, mobile number, gender, and profile image, ensuring data integrity and confidentiality. Additionally, the implementation of Elliptic Curve Cryptography (ECC) empowers users with digital signatures, guaranteeing the authenticity and origin of the stored data. To optimize QR code storage efficiency, the project incorporates image compression techniques, enabling the seamless integration of profile images without compromising code size. The amalgamation of these functionalities culminates in a secure, versatile, and userfriendly solution for offline data management, with potential applications in e-Pramaan National Single Sign On.