Neem, or Azadirachta indica, is an evergreen tree in the Meliaceae family. It grows all over the world and is native to the Indian subcontinent. Because of its many medicinal and pharmacological qualities, it is often referred to as the "village pharmacy" in India. With the purpose of creating an in-silico library of the compounds found in A. indica, this study also suggested analysing these compounds computationally for potential anti-hyperglycemic effects. utilising the Chemsketch software, 2D chemical structures were created from Simplified Molecular Input Line Entry Specification (SMILES) notation utilising phytochemical compounds that were obtained from the Pubchem database. Using the Protein Data Bank, the three-dimensional structure of LXRα was obtained. Swiss - PDB Viewer was used to view the structure in order to gain a better knowledge of the molecule and maybe use it as a target for medication. Nimbolide has the highest GOLD score of any of the twelve phytochemicals, at 29.21. It is clear from the insilico docking results that the phytochemicals found in A. indica leaves have a significant deal of potential to prevent atherosclerosis. They may also function as better leads, which would further prevent atherosclerosis. By employing the ADMET structure-activity relationship database, ADME and toxicity were predicted.