00:18સારવતાર ઉહણ યાતર ઈ વિદ્યાર્ધી આલો જનળળને મારચ છેસિંદી
00:51વો કોતા આવિષકરણકુ બીજમ વેસેલા ચેસિંદી
00:57હઈદ્રબાદુ કુચેંદીના આગમ જયાયન સેંકરપલી લોની એંડા સમાચારં મંદરં કસ્ટમમની ગુતિંદ્તિ�
01:36કેમત્ય અયાગી કસ્તા કેંદ્ય સોમતા સમિતંસીંકેંદ્ય સમિતંય સોમતિંંવસ્ય સોમત્ય
01:51The first is the home setting. There are four major parts.
01:57This is the home setting. On the home setting, you are able to see the weather at the moment.
02:02So that includes the temperature right now, the wind speed, the humidity and the likeliness to rain.
02:07The percentage that it would rain. This is general data forecast that you will get for your environment.
02:14Next is the forecast setting. Under the forecast setting, you are able to accumulate from different time periods
02:19and see the general trend in the data.
02:22Next is the satellite setting. Under the satellite setting, you are able to see which satellites are active.
02:27So currently, like I said, we are connected to the Meteor M satellites.
02:30These satellites allow for anyone to download data from their broadcast.
02:34You see which satellites are broadcasting right now. You are able to connect to one of the Meteor M satellites.
02:39And then you are able to collect the data.
02:42So what happens is you get images such as these that our model looks at.
02:48It is basically cloud images. You are able to see different parts of the cloud and predict based on that.
02:55So what we have built is a gradient boosted decision tree model, which looks at 46 different scenarios,
03:0146 different aspects and metrics, and then makes a prediction on what will likely happen.
03:07So look at cloud thickness, the temperature of the cloud on the top,
03:11a look at which direction the clouds are moving in, the likeliness to rain.
03:14And based on that, create a score from 0 to 100 based on what will happen.
03:19So a score of 100 would mean that it is very unsafe to go outside.
03:24A score like 0 or a lower score from 0 to 30 would indicate that it is relatively okay to
03:30go outside.
03:31The weather conditions aren't too harsh and you are good to go.
03:35All the data would look at the Internet.
04:05trekking trips I usually go for trekking trips on one of these trips what had
04:09happened was while we were pushing to the summit the weather conditions switch
04:13really quickly on these mountains so one moment you're looking at a very sunny
04:17breezy day and then suddenly you know you are faced with harsh winds sudden
04:23rain and heavy humidity so these weather changes happen very instantaneously
04:30there's no warning that you can view immediately this is something I faced
04:35on one of my treks on the Himalayan ranges on the studio peak after that
04:39experience where we had to make an instinctual decision rather than data
04:44driven decision to continue climbing or not that's where I realized that this
04:48industry lacks a product that you know helps mountaineers helps trackers
04:53immediately judge weather and that's when I realized that I needed to make
04:59something in this industry
05:20I came up with a plan to see what could be done and I pitched this plan to a space
05:25company called
05:25Dhruva space and I got their input from you know that industry I understood what
05:31could work they gave me feedback on how I should change a bit of the device so
05:35their help was very instrumental in shaping the device finally the design team at
05:40school also is very helpful so understanding what different
05:43components I need what different components are required to actually be
05:47integrated in the device that was like a six-month journey as far as the sort of
05:52instruments that are inside the device there is of course RTL SDR which is
05:57like a radio way of capturing a machine and then there next there is a antenna
06:03which connects to the satellite and is able to download data directly from the
06:07satellite there is something called a raspberry pi which is essentially a
06:10computer which is like the brain of the device there's an aluminum casing so that
06:14is for if the device is in these extreme environments it's able to sustain impact in
06:48these environments
06:49it is a companion it is somebody you want to check with it's a safety device
06:54but more than a safety device it's also somebody who's by your side through the
06:59tough times Agam well he is first of all our head boy one doesn't get that
07:04position just like that right that position defines the kind of balance that a
07:10student has right so for example Agam is very good academically he is also very
07:16good in sports he manages his extracurriculars very very well I mean
07:21that's that device is an example we have something called an Indus School of
07:25Leadership where we you know take children to certain expeditions and and
07:30these mountain summits and Agam has done several of those expeditions and
07:35summits so I think he is he's the right kind of example for having a perfect
07:41balance between academics and and and and his passions that he wants to pursue
07:46you
07:58Thank you very much.
