 The bottom line of this idea is you can carry what works for most of you. So can you remember how many black shirts or white shirts you have right now? So that is the question of your person. So our idea is, we want to track. So you often go to a shop and you get out and then you have the shirt and all. So at the end you go and buy the same shirt. After coming home you will see the similar shirt you have or similar color you have. And also in a shop there will be the same brand, same pattern that may be with other brands. So you can compare the other brands and check which one is very good for you. So in this case the same brand, same pattern, same design may cost less in other brands. So that time you can choose that one. So that is our idea. So what we take? We take in samples. So here for this idea you don't need to give any specific input or we are not. The application doesn't require any kind of input from the user. We take one of the information store on the device on the mobile. First we take the local storage, your gallery, your photos. And then we scan for the particular pattern. As far as we load, we will scan our, your drum storage area back, the standard photos in your social media site. So you will use that information. It's a kind of a camera app which has, when you go to a store, you just scan the barcode or whatever you want to buy. It will suggest, it will prompt you if you already have the infrastructure, apparently you got it. So it prompts you to save money. And I mean, there is a one-hundredth, I mean, I don't know, it's like reading outlets where they can understand the customers' choice or their stage. So that they, reading outlets can suggest similar product, products, which they can like, which is available in the store. And even brands can even display their ads. And we have a similar demo. I'm taking a picture of... Actually, here, say, in KC, I'm going to a shop and I'm scanning the barcode which is there. So right now I've noted some static images from the gallery. So I'll take a live picture of any person. Right now I'm taking a picture of this blue, dark blue shirt. So it shows... No, it won't take picture, it's alive. You can see, it's such like some... Say I'm really having this shirt, if you'll please. It will show that it's really having this shirt. That's it. Actually, still our knowledge case is not completely ready. So we are building up. Yesterday we started with 50 samples. So we have to build some more samples. So it may take some more time. So this is our idea. Thank you. Okay, any questions? Should we start the library part of the application? Or will it capture and scan and give it to our cloud? Yeah, we'll take... We'll extract the picture from the image using OpenCV. Store will scan the pictures. And that pictures, we'll store it in our cloud. And then based on that... Yeah, actually, to start with, when the users start using the application, it scans this non-gallery. And if it configures to the cloud storage, like when a pose and move player, where people share their own styles and stuff, from there it can scan and understand what the user preferences is. And when the user goes to the shop, it can come up with good products of the shop.