Mineral identification in geology has a very wide scope hence; minerals are classified under various categories using series of properties and parameters. In this system, mineral identification is based on physical properties of the selected minerals. The unique features of individual mineral are stored in a database. The software application is designed to have a simple interface and easy follow up. For this study, forty different minerals were documented in the system database. The inference engine developed in this work is based on arule-base forward chaining approach. Also, seven physical mineral properties will be chosen and indexed on; the software can easily be expanded to accommodate more minerals.