Monitoring of fabric material is essential for the creation of textiles. Defective textiles have cost the apparel business a lot of money. In less developed nations like Bangladesh, most of the production faults in synthetic fibers are often discovered through manual examination. The work of an investigator is difficult and time-consuming. At the moment, AI is increasingly applied. since AI already has triggered a shift in many sectors. It is unquestionably a wider foundation in terms of our technological advancements. For picture data, convolutional neural networks are helpful. AI is now a growing industry, and we all are well aware of how challenging it is to identify Cloth Defects today. We ultimately decided to use a new approach to discover textile defects using AI. For our nation, it is crucial. since the clothing business is well known in our country. In our nation, many individuals rely on it to alleviate unemployment. Therefore, it is crucial for us to ship quality cloth. However, it might be difficult for individuals to verify the material and find flaws in all of these clothes during quality control. Even if earlier generations had to examine the cloth’s quality, there were still a lot of errors. However, today's technology has simplified this process with its many speculative models, such as CNN.