The present work focuses on the knowledge-based expert system to develop an automated die and punch tools design for the sheet metal forming process (deep drawing operation). The major limitation of the conventional forming process is the manufacturing of dies. As the attributes of the final component varies, the configuration of the tooling (punch and die) require to be modified. Hence, the tooling cost and inventory increases and results into higher production cost. Therefore, to address this issue, a hybrid intelligent system is proposed considering the concept of image processing and knowledge based architecture. A novel algorithm is proposed which consists of bunch of rules to construct the conventional forming tools design. Python and AUTOCAD-VBA tools are used to develop the intelligent model. Such, hybrid model is able to handle large variety of configurations with semi skilled operator. The benefits like reduced trial and error method with minimum production cost can be achieved.