The popularity of online fashion and online fashion retail platforms, which has a visible impact on the shopping experiences of billions of customers, has led to the availability of millions of products in online catalogues. It eliminates the need to make physical journeys to several stores and wait in large lineups. The biggest mess with online shopping is that customers are not sure about the quality of fabric and size fitness until the product is received. In this research work, we have proposed a Fashion Recommender System that helps the customers to make their own design with their own thoughts. This system provides a list of designers, unique designs, fabrics, accessories etc. This allows the customers to select their own designer, share their thoughts and ideas with them and can have their own unique dress designed. The customers can be free to interact with designers and also with admin. Additionally our system allows the customers to learn about different fabrics, patterns, colors and sizes. As a result, our recommender system gains momentum by mining and diverse silos of products. Our objective is to provide a modern viewpoint on the advancements made in the field of our fashion industry recommender system.