DNAcrypt-AI protocol for generating and encrypting a secret key v1

DNAcrypt-AI is a human genome-inspired cryptographic framework that leverages k-mer-based alphanumeric encoding, genome vocabulary, sequence reconstruction, and sequence-informed machine learning to generate and encrypt digital credentials as genome coordinates. This protocol describes the procedure for generating a fixed-length secret key (16 characters) and encrypting it using DNAcrypt-AI. Unlike passwords that may comprise alphanumeric characters and symbols, secret keys are devoid of symbols. The pipeline is implemented on Google Colab and integrates a high-throughput DNA sequence reconstitution pipeline (FAS2rDNA) with a sequence intelligence model (Covary) to randomly generate a plaintext key into an encrypted, non-human-readable genome metadata representation. The protocol generated the expected secret key of 16 characters long and provided an encryption data that can be used for decryption and password recovery.