Cracking the Code of the Indus Valley Civilization: A Computational Approach to Lost Knowledge

The decipherment of the Indus Valley script has remained one of the most enduring challenges in historical linguistics. This paper presents a groundbreaking computational and linguistic analysis that successfully identifies and interprets structured inscriptions found on nine Indus Valley copper plates. By integrating symbol frequency analysis, AI-assisted pattern recognition, comparative mythology, and proto-linguistic reconstruction, we demonstrate that these inscriptions encode a structured theological and philosophical discourse rather than purely administrative records. Our findings reveal a coherent logographic-ideographic system with strong syntactic parallels to Proto-Elamite and Mesopotamian religious texts, suggesting that the script was used to encode sacred knowledge, cosmological principles, and ritual invocations. The application of deep learning and linguistic modeling not only advances the effort to decipher the Indus Valley script but also provides unprecedented insights into its role in ancient civilization, positioning it as an intellectual and spiritual system rather than a mere tool for economic record-keeping.