00:00AdSense Labs is an IIT Delhi integrated company that has started.
00:06This is a deep platform for India AI funding.
00:11After that, we have more digital tools and integrated.
00:16We can build a full-scale digital twin.
00:19We can build LiDAR data.
00:22We can build a digital twin in 3D.
00:28We can build a digital twin in 3D.
00:32We can build a digital twin in 3D.
00:37How can we build a digital twin in 3D?
00:41First, we can build a 3D view in 3D.
00:48We can build a digital twin in 3D.
00:57But they can build a digital twin in 3D.
00:59And now we can build a new car.
01:01Now we can build a model.
01:04And they can run in this future.
01:06We have no chance to do it.
01:09For that, we can build a digital twin in 3D.
01:21we have a good pollution, so we can integrate all the data, so you can know our own information.
01:29How do we know the data, because it changes every time, and you are telling us that it will remain
01:3510 years?
01:37Yes, the climate data, we use climate simulation.
01:41The science people have climate scenarios,
01:47and we have a great idea of what the climate is changing in the future.
01:50And if it increases the temperature in the average,
01:53then the same temperature will be changing?
01:56Will it change the wind direction?
01:57We all have a science-inform model that is called climate scenarios.
02:03We can implement the idea of climate scenarios,
02:07and we can place the data on our platform,
02:09and build the precipitation data.
02:12we can use the terrain, we can use the terrain, we can use the terrain, we can use the terrain,
02:19and we do what we can do, if we can land slide, after the rain falls,
02:24so all the science is informed, we can merge the artificial intelligence and science,
02:32so that our future is secure.
02:37In a few months, the data is changing, in a month, two months, a week, ten days,
02:42so how will we update this?
02:44Yes, the platform is integrated with climate data, which is integrated,
02:48but weather data is also integrated.
02:51Weather data is also integrated.
02:53Weather data, which is a lot of companies, such as Google or Nvidia,
02:59so that data can be seen in our API.
03:02Weather data can be seen in our platform.
03:04Weather data can be seen in our 7 days,
03:05and you can see that rain falls are able to change.
03:08Weather data can be seen in our platform,
03:13and you can see that after 7 days,
03:16what will my house be ready?
03:19And this is a huge use case for cities.
03:22Because the future of the terrain planning,
03:25how can the future manage the flood,
03:28where vegetation is located,
03:29how can it manage the flood,
03:30how can it manage the flood,
03:31how can it manage the flood,
03:32how can it manage the flood,
03:35how can it manage the flood,
03:36how can it manage the flood.
03:37So, this is a holistic platform,
03:39which can be used by governments,
03:42and in the future,
03:43it will be used by the public.
03:46So, when will the public use it?
03:48How can it be used by the public?
04:01which has been shown in the future?
04:02which place can be used by a very loud message.
04:03So, again,
04:05we are thinking
04:05that we are running around 6 years of time,
04:07every job is thrown to our office,
04:09and therefore we can see our own factories' security
04:12and even in the future,
04:13before we can see if we can build a house,
04:16in the future,
04:17where we can build this place,
04:19we can see if we need to build a home at this time.
04:20And,
04:20in the future,
04:21we can see if we can make a home,
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