This study explores the feasibility of utilizing hexagonal boron nitride (h-BN) and hexagonal aluminum nitride (h-AlN) nanoparticles, which are suspended in a deep eutectic solvent (DES) or organic nanofluid, as a thermal medium or coolant. The eutectic point of a Deep Eutectic Solvent (DES) comprising of Diphenyl Methanol and Dibenzyl Ether as Hydrogen Bond Acceptor (HBA) and Hydrogen Bond Donor (HBD), respectively, is estimated using the COSMO-SAC thermodynamic model. The fundamental physical and chemical characteristics of the DES are subjected to a more comprehensive evaluation. The nanofluids were prepared utilizing three different weight concentrations of h-BN and h-AlN nanoparticles, specifically 0.01, 0.05, and 0.10 wt.%. The experimental evaluation involves the examination of the efficient thermophysical characteristics of nanofluids. Throughout the entirety of the temperature range examined, the rheological characteristics of both the base fluid and nanofluids exhibit Newtonian behavior. The addition of nanoparticles to a fluid, albeit in small quantities, results in a slight increase in the fluid's viscosity, which is contingent on temperature. This phenomenon is observed in nanofluids. The thermophysical properties of Nanofluids are predicted using a machine learning methodology in situations where experimental data is unavailable. The network is trained using the experimental data that is currently available.