 We have the application on the emulator because we have to simulate the locations too. So basically the idea came up with, you know, tracking our expenses through SMSs we received from our banks. So basically what we do is here since we can't give alphabets in the incoming number we have used the pattern as just numbers. So in the applications usually we have already predefined ICICI, HDFC and all the keywords which we need. So here what happens is let's say selected one location and sending an SMS for Rs 400. So sending this to the emulator it automatically makes a difference in how much usage is happening. So the basic area of the app is to show how much money, how much expenditure is happening on each of the locations as in, yeah, the percent of how much I'm spending on each location. So let's say I'm, yeah. So basically the values which are shown over here is the locations which are already there in the database. So let's say if I'm in a different location and again there is some transaction happening. So sending this would add it to the database and a notification comes up telling it's a new point of sale location. So I just enter, let's see, and then I can choose a category, like the patterns, okay. And that will also be added to the, and then click on any particular category, it says news and notifications, and send a spending at VMS 30 percent. 10 percent. This shows the percentage. So the idea was basically I need to know how much I spend on these locations so that I can avoid going to those places. There are two things actually. One is to seamlessly let the user know how much he's actually spending up. So here in case of the SMS is getting delayed and he's going to a different point of sale. So we are actually trying to match when the SMS has come and when the transaction has happened. So we are trying to match both those things and deduce whether it's the correct location or it's a wrong location. That's pretty much about it. What was in your team? My team? Gunti, Senthil, Chabis and then Hanu. Okay. Perfect. Thank you. Thank you.