In this twenty-first century, research is taking new dimension with the unpredictable development in information technology. With the aid of this technology, handicraft designs can be classified and made by utilizing artificial intelligence techniques. The Chinese handicraft designs will have unique style in the presentation. Using the artificial intelligence techniques, the arc styles of the handicraft design can be identified and classified. In complex environment like epidemic or pandemic situations, every user has to focus on the minor variations in financial aspects. Implementation of artificial intelligent technology will aid the user to get updated with the market strategy for financial allocation to resources. In the market, each arc style may have different demands and the charges will improve the profit for the company and also the country. In this study, the intelligent computer-aided art and craft design (ICAACD) method is implemented on the financial dataset of China and analysis is performed. This proposed system is compared with the existing algorithms such as GNNA, RNNA, and CNNA, and it is observed that the proposed ICAACD method outperforms with the accuracy of 82%.