Authors - Nagaraj.M, V. Balamurugan, Matam Veera Chandra Kundan, M.J. Mathesh, V. Vijairam Abstract - Academic credential fraud is a global issue that undermines institutional trust. Although blockchain solutions provide immutability, they are generally reactive, securing documents only after potential errors or fraud have already occurred. This paper proposes a proactive approach to prevent inconsistencies before degree issuance. We introduce a hybrid model that integrates Digital Twins as a preventive validation layer and Multichain as an immutable ledger. The Digital Twin operates as a virtual sensor during the degree creation process at Universidad El Bosque, simulating and validating academic, financial, and national exam data (Saber Pro) in real time; if inconsistencies are detected, “red flags” are triggered prior to issuance. Once validated, the degree’s hash is anchored to a Multichain network. A functional prototype developed in Python achieved a 100% detection rate of inconsistent records during testing. The pro-posed model transforms the academic certification process into a proactive, se-cure, and trustworthy ecosystem by combining preventive validation with block-chain immutability.
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