00:00The case of the AI hackathon has been used in the AIA hackathon.
00:05At this time, the first time the police can be used in the AIA department,
00:11the engineers, and the federal engineers have been used to.
00:14At that time, the administration has been working with the petition management of the AIA petition management,
00:21and we have been working with the AIA announcement.
00:24You are driving the hackathon into the AIA hackathon,
00:26and you are doing this work, you are working with that one thing.
00:28I have passed out by 2 GMA. I have passed out by the Electronics and Communications department.
00:36After that, I have worked with EXABE Technologies or 3 months.
00:40I have worked with this particular hack.
00:42What I want to do is I have to form a team.
00:45I have to form a team, but unfortunately, I have to do a team.
00:48I don't care about that before.
00:51But over the time, 3 days, 36 hours time,
00:55I have completed the first day,
00:57I have completed the first day,
00:59but still, I have completed it.
01:01I am really happy.
01:03You are not working with this hack.
01:05I don't care if you have a team number.
01:07So now, I have to do the pressure feel.
01:09At that time, I have to do it.
01:11I have to do the pressure feel.
01:13I have to do the pressure feel.
01:15One benefit is the pressure output.
01:17What I am doing is I am not a team partner.
01:21I am using a coding partner to create a coding partner.
01:25With that particular synergy, I will build it quickly.
01:28You are doing the project in Petition Management.
01:31What do you do in this project?
01:33What do you do in this project?
01:35I am not expert.
01:37I am not sure of that.
01:38I am not sure of that.
01:39Why is that using it?
01:40I am not sure of that.
01:42Why is that?
01:43I am not sure of that sensitive data.
01:46Why is that accurate data?
01:48It is important.
01:49Because, as a person has a clear tool,
01:51you will find a way to do it.
01:52But if you do it for a AI,
01:53it is not correct,
01:54it is not accurate.
01:55It is a difficult task.
01:57It is a 100% accurate task.
01:59I am a perfect surprise for that.
02:02You are a guide for IPS, a person, and you are a mentor.
02:06I am a teacher who has a student.
02:09A person is a very inspiring person.
02:11Many inputs are helping us.
02:13Because we have a clear-cut vision.
02:15We have to take a day in and day out to our hectic schedule.
02:19We also have a lot of clarification.
02:22And we have to explain to you as a result.
02:25We have to explain to you as a result.
02:28In this hack, you had a job, a job, a job, a job, a job, an IPS, a number of police,
02:36so that experience has been done.
02:40Actually, this is my experience.
02:42I don't know what I'm talking about here, but I got a lot of experience.
02:47And also, I have a lot of experience in my team, in my competition.
02:54I don't know what I'm talking about in the 12th class.
02:58But at this time, the students are all alone.
03:00They are all alone in the 12th class.
03:03I have a tough competition.
03:05So, what I'm talking about is,
03:07I don't want to compete in any stage.
03:10I have a motivation for my potential.
03:14What do you do in the project?
03:18Actually, my goal is to build a foundational model.
03:21Why?
03:22Because now, there is no foundation model for India.
03:25We can use our data as well as China.
03:28For example, we can choose WhatsApp US.
03:30And we can choose TikTok as well as China.
03:33So, there are only users from India.
03:35So, India is the data hub of the world.
03:37But we can use that data as well.
03:39If we use that data as well,
03:42it will be a wonderful thing.
03:45In the future, we can create a foundational model in the future.
03:48In the future, we can create a foundational model in the future.
03:50In this future, we can edit our design model.
03:51We can control the design model.
03:53We can use it for our project.
03:54We can create the design model.
03:56In this future, we can create it for the project.
03:59In this future, we can create it for our project.
04:00In this future, we can choose our project.
04:03For the project, we can select all our products.
04:05We can discuss all our materials.
04:06In this future, there is aなんです model.
04:08What it means will be the purpose for our project.
04:11What do you want to know about this project?
04:13My use case is dial 1.
04:15That is the IIS IPS.
04:19If you want to call the audio transcript,
04:23you can call the audio transcript.
04:25You can call the GEMINI API model.
04:29You can call the GEMINI API model.
04:31You can add a reviewer agent.
04:33You can verify the transcript correctly.
04:37What do you want to know about this project?
04:41What do you want to know about this project?
04:43First of all, our project is a college and a company.
04:47Our project has three different backgrounds.
04:51We want to know the accuracy and the accuracy of the performance.
04:57We want to know the real-time scenarios.
05:01We have generated some what-if scenarios.
05:05We want to know the results.
05:07So we need to know all of this.
05:09You can use the most accurate.
05:11You can use the map.
05:13What do you want to know about this?
05:15I want to choose the surrounding locations.
05:19You can take a better prediction.
05:21It is a pinpoint location.
05:23What is accurate?
05:25I have 900 meters or 400 meters to the distance.
05:29So, which helps the police department to move fast to the location.
05:34You are using this hackathon.
05:36You are using this hackathon.
05:38You are using this hackathon.
05:40You are using this hackathon.
05:41What do you think about this hackathon?
05:44I am using this hackathon.
05:47I don't know how to do it.
05:49I am proud of it.
05:51I am not sure how to do it.
05:53You have no mindset.
05:54You have experience.
05:56You have to do it.
05:57You are not a scientist.
05:58They are not a scientist.
05:59You are not a scientist.
06:00You are not a scientist.
06:01You are not a scientist.
06:02You are not a scientist.
06:03You are a scientist.
06:04What if scenarios are generated.
06:05We have also a scientist.
06:06You know the mindset.
06:07What is the leader of your team?
06:09How does your leader lead you?
06:10What do you lead you?
06:11Malika Mam is our guide of the DIL 112.
06:17So, we are doing the first project from ground reality.
06:21Because the call is the user, or the user, or the user, or the user, or the user.
06:30So, we get to get the data.
06:32We get to get the call from the location.
06:36We get to get the transcripts.
06:39For example, police have a lot of people in the police.
06:42Then, they have a lot of English, they have a lot of IITs, IPS.
06:46They don't get the correct language like Thilugu.
06:49So, everything we implement.
06:52In Telugu, Hindi, English, Transcripts.
06:54We get to get the accurate location.
06:58We get to get the location in a 250m radius.
07:02We try to get the curator.
07:04So, the audio, unless this is correct.
07:07So, we get to get the accurate scenario.
07:11We get to get this.
07:12We get to get the AIA application.
07:14We get to get the police hack.
07:16How do you feel about this experience?
07:18It is actually my fifth hackathon here.
07:21I attended four hackathons.
07:23So, I gained the experience.
07:25How the start-up companies nowadays.
07:28So, build the AI agents and AI technologies.
07:31So, compete with the existing companies.
07:34So, it has been proud to us.
07:37When the police hack were then taken to a local police attack.
07:42There are some members who have been exposed to the police.
07:45You can find the movement from the myself.
07:46You can find the shots in Ivijia.
07:48I am not aware of this hackathon.
07:53I have never seen AI hackathon in this country.
07:58In India, I have seen AI hackathon in India.
08:02So, I am aware of this hackathon.
08:06I have never seen AI hackathon in India.
08:11I am not aware of this hackathon.
08:18I am not aware of this hackathon.
08:23I have no idea what to do with the hackathon.
08:29I am not aware of this hackathon.
08:32I am aware of this hackathon.
08:33This hackathon has been my journey of AI hackathon.
08:36Thanks for sharing this hackathon.
08:38We can participate online.
08:40We can share it on Google Meet.
08:44We can push it on GitHub.
08:46We have a lot of time saved.
08:50What is your role in this project?
08:54We can do it on the back end.
08:58We can do it on the front end.
09:02We can do it on the back end.
09:08Have you done it on the back end?
09:10Will you try to do it all?
09:12We will stay doing it on the back end.
09:14We take the IPS officers on our team.
09:18We do so much.
09:20Somehow we can talk about it on the future
09:22and how the future can.
09:26We can tell you how to do it on the future.
09:28If you've got your application,
09:30We are doing the best job of working with the company.
09:34You can do what you are saying.
09:36If you are in the first phrase, you can do it.
09:42I have been very happy to talk about it.
09:46I have been a part of my career.
09:48I have been a part of my career.
09:50I have been a part of my career.
09:52I have been a part of my career.
09:54I have been a part of my career.
09:56We are happy to get the future announcement and the future.
10:03We are happy to get the AIA application.
10:10We are happy to get the AIA application.
10:14We are happy to get the AIA application.
10:19Contour.
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