SIH 2023 winning ideas: Real Time Parking Management System

Summary

This episode spotlights Sam Vgis and his team, winners of Smart India Hackathon 2023. They discuss their innovative real-time parking management system, designed to solve the issue of street congestion caused by illegal parking. By utilizing existing government CCTV cameras, AI models, and cloud technology, their system helps optimize parking spaces and reduce traffic congestion. The team's mobile application enables users to reserve parking spots in advance, providing a hassle-free experience. They aim to implement this solution in Indore, with plans for a startup and future scalability. The episode highlights innovation, collaboration, and the potential for a smarter India.

Takeaways

• 💡 The series highlights the winners of the Smart India Hackathon 2023, showcasing their innovative solutions for real-world challenges.
• 🏆 The first featured team is led by Sam Vgis from NMIMS Indore, working on a real-time parking management system.
• 👥 The team members have diverse expertise in hardware, software, AIML, and app development, which helped them tackle the challenge.
• 🚗 The problem they addressed involves illegal street parking, which causes congestion, longer wait times, and pollution in urban areas.
• 📹 The solution leverages existing government CCTV infrastructure and an AIML model to monitor and manage parking spaces in real-time.
• 📱 Users can reserve parking spots via a mobile app, reducing congestion by directing them to available spots at specific times.
• 💸 Dynamic pricing is integrated into the app, allowing officials and shopkeepers to earn revenue from parking spaces.
• 🌍 Their system focuses on optimizing street parking, a critical issue in smart city development, rather than dedicated parking areas like malls.
• 🔧 The solution minimizes human intervention, using computer vision and automation to efficiently manage parking spaces.
• 🚀 The team plans to turn the project into a startup, starting implementation in Indore within six months and scaling it up for wider use.

Q & A

What is the Smart India Hackathon 2023?

The Smart India Hackathon 2023 is a prestigious competition that highlights the innovative ideas of young minds, aiming to solve real-world challenges using technology.

Who is Sam Bas and what role does he play in the hackathon?

Sam Bas is a member of the winning team from NMIMS Indore. He led the team to develop a real-time parking management system using AI and ML to solve parking congestion issues.

What problem did Sam's team address in their project?

Sam's team addressed the issue of street congestion caused by illegal parking and the lack of optimized parking management. They developed a real-time parking management system to utilize existing parking spaces more efficiently.

What technology did the team use to solve the parking problem?

The team used a combination of hardware, software, and artificial intelligence (AI) and machine learning (ML) models. They utilized existing CCTV cameras to monitor parking spaces and provide real-time data to users and city officials.

How does the parking management system notify users?

The system allows users to reserve parking spots in advance and notifies them if a spot is available or if it's fully occupied. It also sends alerts to city officials if illegal parking is detected.

What is the advantage of using existing CCTV infrastructure?

By using existing CCTV infrastructure, the team avoided the need for significant financial investment in new hardware, making the solution more affordable and scalable. This also reduces the burden on city resources.

How does the system manage traffic and parking space availability?

The system divides parking spaces into groups, tracking the availability of each group in real time. It also uses AI to monitor the area and inform users and officials of available spaces, helping to prevent overcrowding and reduce congestion.

What are some key features of the team’s mobile application?

The mobile application allows users to register their vehicle, reserve parking spots, view the availability of parking spaces, and even pay for parking. It includes dynamic pricing to optimize space utilization and offers users a seamless parking experience.

What makes this solution stand out from other parking management systems?

Unlike other solutions, this system uses AI-based computer vision technology to manage street parking, focusing on optimizing street parking spaces rather than dedicated parking spots. Additionally, it requires minimal human intervention.

What are the team’s future plans for scaling their project?

The team plans to create a startup and is in touch with the mayor’s office in Indore to implement the solution. They aim to start with small regions, like their university, and gradually scale up to the entire city. They also intend to seek funding and support from their university and investors.

Outlines

00:00

🎉 Introduction to Smart India Hackathon 2023

The opening segment introduces the special series focused on the winners of the Smart India Hackathon 2023. The host welcomes the audience and highlights the significance of the competition, which encourages young minds to solve real-world challenges using technology. Sam and his team are introduced as the first guests, and the host engages with them, congratulating them on their win and inviting Sam to introduce himself and his team.

05:01

🤝 Team Introduction and Formation

Sam introduces himself as a Computer Engineering student from NMIMS, Indore, who also interns at Maharashtra Police Cyber Cell. His teammates, Suani and Jen, also introduce themselves, sharing their roles and experiences. The team’s formation is discussed, highlighting their shared passion for both hardware and software. Each team member brings expertise in fields such as Flutter, AI, and ML. Together, they formed a group to work on a real-time parking management system for the hackathon.

10:02

🚗 Addressing the Parking Problem

Sam delves into the team's chosen problem: real-time parking management. He explains that illegal street parking causes traffic congestion, longer travel times, and pollution, especially in cities like Indore and Mumbai. The team aims to solve this issue by utilizing existing parking spaces more efficiently through a combination of hardware and software. He refers to a recent publication showing how large-scale illegal parking contributes to the problem, emphasizing the need for smart solutions to optimize parking and reduce congestion.

15:04

📹 How the System Works: AI and CCTV Integration

Sam explains how the system operates. It uses AI models to analyze footage from government CCTV cameras to monitor parking spaces in real time. When illegal parking occurs, alerts are sent to officials. The system also allows users to reserve parking spots in advance, reducing street congestion by managing parking availability based on time and location. This intelligent system distributes traffic and parking demand to optimize the use of existing spaces and improve the parking experience for users.

20:07

📱 App Demo: How Users Interact with the System

The team presents a demo of their mobile application, which allows users to reserve parking spots by entering their vehicle information, selecting a time slot, and paying a fee. The app provides real-time updates on parking availability and dynamic pricing based on demand. This system helps reduce congestion by allowing users to adjust their parking time and avoid over-crowded spots. It also generates revenue for shopkeepers and officials through parking fees, offering a comprehensive solution to parking management.

🏆 Competition and Unique Selling Proposition (USP)

Sam discusses competitors in the market, including a similar project by OAN, but emphasizes that most competitors don’t use computer vision or focus on street parking. The team’s USP is the use of AI to monitor real-time parking data with minimal human intervention, making the system efficient and scalable. The app integrates computer vision, hardware, and software to manage street parking, an essential aspect of smart city development. They believe their approach sets them apart from other parking management systems.

🚀 Overcoming Competition and Future Plans

When asked about future competition, Sam highlights the challenge of competitors upgrading their systems. He emphasizes that their solution uses existing infrastructure, making it cost-effective and easier to implement compared to competitors that require new investments. Looking ahead, the team plans to turn their project into a startup, scaling it across cities. They are in touch with the mayor of Indore to explore implementation opportunities and are confident about securing funding to support their expansion.

💡 Next Steps: Turning the Idea into Reality

Sam outlines the next steps for the project, including technical expertise, funding, access to CCTV footage, and cloud infrastructure to support real-time operations. The team aims to begin phase one of the project within six months by testing the system in a smaller area, such as their university or a nearby street. They plan to address any inconsistencies before scaling the system to larger areas, eventually making their smart parking solution available citywide.

🎬 Conclusion: Power of Innovation and Smart Solutions

The final segment concludes by reflecting on the potential of the team's project to address a major problem in India—parking management in urban areas. The host expresses optimism about the project’s success and praises the Smart India Hackathon for promoting innovation. He wishes Sam and his team success in implementing their solution in Indore and expanding it to other cities, hoping they will become well-known for solving a significant urban challenge.

Keywords

💡Smart India Hackathon 2023

The Smart India Hackathon 2023 is a prestigious national-level competition aimed at harnessing the technological creativity of students to solve real-world problems. It showcases innovative solutions from young minds and emphasizes the role of technology in addressing critical societal challenges. In the video, Sam and his team are recognized as winners for developing a real-time parking management system, which highlights the event's focus on practical problem-solving.

💡Real-time Parking Management System

The real-time parking management system is the solution developed by Sam and his team to address the growing issue of parking congestion in urban areas. This system uses existing infrastructure like CCTV cameras and AI models to monitor parking spaces and manage traffic more efficiently. The application helps users reserve parking spots in advance, reducing congestion and optimizing available parking spaces, as discussed in the video.

💡AI/ML Model

AI (Artificial Intelligence) and ML (Machine Learning) models are core technologies used in the parking management system to analyze data from CCTV cameras and predict parking availability. These models automatically detect illegal parking and congestion, sending alerts to officials in real-time. In the video, the team emphasizes how their AI model provides constant supervision, reducing human intervention and enhancing the system’s efficiency.

💡CCTV Footage

CCTV footage refers to the video feeds captured by government-installed security cameras, which are used by the team’s AI model to analyze parking spaces. The footage allows the system to monitor parking availability and detect illegal parking in real-time. In the video, Sam explains how their solution leverages existing CCTV infrastructure to minimize additional costs and enable real-time parking supervision.

💡Congestion

Congestion in this context refers to traffic build-ups caused by illegal or disorganized parking, particularly in urban areas. The video highlights how parking congestion leads to longer waiting times and delays, a significant issue in cities like Indore. The real-time parking management system is designed to mitigate this problem by directing users to available parking spaces and optimizing street parking.

💡Illegal Parking

Illegal parking is a major concern that the team's solution addresses. It refers to vehicles being parked in unauthorized or inappropriate spaces, leading to traffic congestion and safety hazards. The AI model in the parking system detects instances of illegal parking and notifies authorities, aiming to improve the management of urban spaces. The video discusses the high number of fines issued for illegal parking in Indore, illustrating the scale of the problem.

💡Dynamic Pricing

Dynamic pricing is a feature integrated into the parking management system, where the cost of parking adjusts based on factors like demand and availability. This helps optimize parking space usage and can generate additional revenue for parking authorities or shopkeepers. In the video, Sam explains how the system can apply dynamic pricing to encourage better utilization of parking spots.

💡Reservation System

The reservation system in the team’s parking solution allows users to book parking spaces in advance, ensuring a spot is available when they arrive. This reduces the uncertainty and hassle of finding parking, particularly during peak times. As described in the video, users can select the time and location of their parking in advance, and the system provides real-time information on availability.

💡Smart City Development

Smart city development refers to the use of digital technology to enhance urban infrastructure and services, making cities more efficient and livable. In the video, Sam’s team tackles parking, a critical issue for smart city initiatives, by creating a system that reduces congestion and illegal parking using AI and real-time data. Their solution aligns with broader smart city goals by optimizing resource use and improving the urban experience.

💡Cloud Database

A cloud database is a centralized digital storage system that the team’s application uses to store and access parking data in real-time. The data collected from CCTV footage and user reservations is stored in the cloud, ensuring scalability and accessibility across multiple regions. In the video, Sam mentions that the cloud infrastructure will help extend the application to larger areas like Indore and beyond.

Highlights

Introduction of Sam Vgis and his team from NMIMS Indore, Madhya Pradesh, and their project for the Smart India Hackathon 2023.

Sam introduces the problem statement: Realtime Parking Management System (S1 1515).

Sam highlights that the team consists of members with expertise in hardware, software, AIML, and application development.

The project addresses illegal parking and street congestion issues in cities like Indore and Mumbai, aiming to optimize parking space.

Sam emphasizes that the team utilized existing CCTV infrastructure and combined it with AI/ML models to monitor parking spaces.

Users can reserve parking spaces in advance, and the app provides real-time updates on availability, helping reduce congestion.

The app dynamically distributes parking demand across different time slots, allowing users to adjust their arrival time to avoid congestion.

Sam explains that the application alerts officials when illegal parking occurs, using AI to monitor the space.

A demonstration of the mobile app is provided, showing how users can book parking spots and view availability in real-time.

Dynamic pricing is integrated into the app, allowing officials and shopkeepers to earn revenue from parking management.

The team highlights that their solution requires minimal human intervention compared to traditional parking systems.

Sam compares their solution to other competitors, pointing out that most competitors lack the use of computer vision and focus on dedicated parking spaces.

The app's unique selling point is its ability to function efficiently using existing infrastructure, reducing setup costs.

Future plans include creating a startup and implementing the system in regions of Indore, with support from the mayor’s office and funding opportunities.

The team aims to pilot the project within six months, starting with small locations like university parking areas, before scaling up.

Transcripts

[Music]

[Music]

hi welcome to this special series with

some special people in which we turn our

Spotlight on the remarkable winners of

smart India hackathon

2023 a prestigious competition that

showcases The Genius of young minds in

solving real world challenges through

technology in this program we will hear

from the winners themselves learning

about the challenges they faced the

inspiration behind the solution and the

impact they hope to achieve first in the

series is Sam vgis and his team so let's

hear it from the man himself and the

people associated with him Hi Sam how

are you doing hello sir I'm fine so good

to have you guys on this show uh the

first episode for this particular series

and good to see you those you know

bright faces which are the faces of

winners so many congratulations to begin

with and uh thank you so much sir I

would request you to you know kind of

tell us something about you and your

team so that you know we get to know you

better before we start you know taking

more of the information from you sure so

my name is Sam Bas and our team is from

nmims indor so we are from madya Pradesh

state

and the problem statement where we

worked on is S1

1515 I am in mbch Branch pursuing

Computer Engineering and I'm also an

intern at Maharashtra police cyber cell

headquarters now I would like to request

suani to introduce herself hello I'm K

I'm in second year I'm pursuing bch in

computer

engineering

hello sir my name is Jen and I have also

been a part of previous which Wason in

which the team was again led by S and

I'm currently pursuing BK from n I'm in

second so good to know you guys I mean

you have been pro at this even K was

your playground once the wonderful to

hear that so Sam uh first of all let me

let me know a bit about your team how

did you get together like were you

studying together or it was a common

interest or what brought you together as

a team to you know participate in the

Aron yeah so my team we are from the

same University and we are very

passionate about hardware and

software so yeah like I know flutter

many of them are have their expertise in

AIML in application development and and

a lot of these field so yeah we are very

passionate about solving the problems

and that is why we took part in smart

India AC we formed a group together

that's how so everyone had their

expertise individually and we come

together and some is for the addition

part some is some is expert in back end

some in front end and that is how we

came together and

we okay so the problem that you chose

was realtime parking management system

so how critical this issue is according

to you and why does it really need a

solution can we live without it can we

do without it or no many times people

Park on street right now whenever they

Park on Street it leads to Street

congestion now because of this it leads

to longer waiting times people have to

wait for a long time in order to reach

their destination now this is a very big

issue for Smart City developments and

for cities like Mumbai madha Pradesh Etc

now this is the problem where we

actually worked on parking space cannot

be increased we have to utilize the ones

which is available to us right now and

that is what we have done we have

utilized available parking space to its

fullest using a combination of Hardware

as well as software so we are already

raed in indor so according to indor

there was a recent publication in times

of India D Bas about the illegal parking

they uploaded a statistics that more

than two lakh people have been fined for

illegal parking this tells us how big of

issue is already in and U because of

illegal parking traffic congestion takes

place and air and noise pollution takes

place and as they are limited parking

spots so to solve this problem we have

to implement a smart solution so that we

can optimize these parking spaces and

provide reservation of these parking

stages with a hassle free experience so

there's going to be a positive of

parking space always in fact this

positive will you know uh keep

increasing by the passage of time so how

does one solve this puzzle so that will

be very interesting to know and

understand understand from you how did

you crack this particular puzzle how are

you able to you know create this kind of

a management

system yes sir so first and foremost

people Park many of times illegally

right so what we have done is we are

utilizing the existing CV cameras of

government and these cameras they will

send their footage to our AIML model now

through AIML model we will be having a

constant supervision on the parking

space right so whenever somebody parks

IL legally then suddenly this

application will send alert to the

officials that okay this is uh this is

the particular car it has parked

illegally now because of this it is

leading to congestion long waiting times

and all of these things right secondly

we are asking the users to reserve their

parking spot even before they come okay

so because of this users would be able

to reserve the parking spot prior to

prior to coming there suppose if I want

to park my space at 4: to 5:00 p.m. okay

then I'll exactly come to know what is

the congestion at that particular time

how many people have already reserved

their parking spot okay now if this

parking spot is not available then our

application will tell the user okay so

don't come at 4 to 5 because the parking

spots are already filled you do one

thing you come from 5: to 6:00 p.m. at

that time parking spaces would be vant

so what are we doing here actually we

are telling the users to come at a

specific we actually dividing the crowd

based on time as well as based on

location okay so this is how we are

utilizing the existing parking spaces so

instead of Simply creating a Lo creating

a crowd there we are actually telling

the users okay come from this time to

this time you'll find a parking space

there so you basically producing the con

on the

streets so you're basically sending out

directives to the users or potential

users so to be able to use uh send out

these directives

what is the kind of data that you're

collecting and how are you collecting

that what are your sources for you know

collection of all those datas which

enable you to you know uh send out these

directives or whatever suggestions you

may

say Okay so the data that we are

collecting first and foremost it is from

the CCTV footage itself so we will be

accessing the CCTV cameras of government

we are utilizing only the existing

infrastructure we are not introducing

something else which leads to a lot of

Burden lot of financial investment or

something we are utilizing the existing

systems okay so what this camera will do

is it will send its CCTV footage to our

AIML model now the AIML model will

constantly see the available parking

space it will check whether the parking

space is congested or not whether

there's an available parking space or

not so what it will do it will send the

uh send the time as well as the

congestion data to our Cloud F Cloud

database so this is how it's actually

done so so what exactly happens when

that CCTV footage data goes to your you

know AI based back end I would

say uh yeah so what happens is our CCTV

footage the footage we getting from the

the real time footage we getting so with

the help of our a model we are able to

keep the track of the number of vehicles

in the particular area now to solve uh

this problem of where to allot the

parking as in because we have a street

for example so maybe 70% of that

particular Street let's say illegal and

the remaining 30% is illegal so how

exactly does the user know or the admin

knows where to park exactly so our

application allows the parking space uh

to divide the space into groups and so

each group has the track of the number

of vehicles so what will happen actually

is the admin will Mark the legal parking

space right because all because the

whole street is not obviously a legal

parking space so the admin will actually

Mark the legal parking space now our aim

model will supervise that parking space

it will see if that space has been

completely filled or not if uh suppose a

space had a capacity of five vehicles

but only three have come then suddenly

our aim model will alert the officials

okay see two more Vehicles can come here

so the user can park here so that is how

we are actually utilizing the existing

parking space Sam uh let's can we really

have some kind of a demonstration which

we you know you know makes us see

exactly what's happening instead of you

know trying to understand through words

can we see it through visuals or through

you know actual kind of a prototype

which you might have developed yes sir

we have developed a mobile application

now this application will also be also

be compatible for Android iOS Windows as

well as Lin so let us share our screen

first this is the application which we

have created for our problem statement

so here firstly we are entering the

username then we are entering the

password after that we need to register

our vehicle

number so let's take a random vehicle

number for now yes and and after that we

are submitting

it so this is a page where we can

reserve a spot for our vehicle so

firstly we need to enter the timing from

which duration we need to reserve a spot

so it is automatically taking time of 1

hour which is 232 to 332 we can also

change

it if you want to extend the time after

that we need to uh select the

destination so uh here right now I'm

selecting NM inor only after that uh we

need to select the vehicle type whether

it is a car or a bike uh

motorcycle so after that we'll submit

this and here we have some groups uh on

which we can reserve our spot so it also

shows how much spot is occupied and how

much spot is not occupied so we'll enter

here in and we'll book a spot here so

firstly it will give us the amount which

we need to pay so it is showing here 20

rupees which we have set it uh by

default and we can see change it later

on and we have also applied Dynamic

pricing here so we can change

it after that uh it is showing that our

sport is successfully reserved and the

cost we need to pay is 49

rupees okay so as you can see while she

was reserving her spot she was actually

able to see how much of the particular

parking spot is available and how much

is not available so users even without

going to the particular parking space

physically they can come to know that

okay 60% of the spot is already occupied

or 100% of it is occupied so let me

change my time duration so that the

particular Street does not get over

congested so this is how we are managing

the traffic we are managing the existing

parking spaces so I think it is not only

about managing traffic and parking

spaces another thing that comes to mind

is you know from an era of having you

know Advanced looking for Cinemas we are

now moving to an Era we can have

advanced booking of parking slots right

so probably that is an additional thing

that you're offering to the potential

customers yes this is an additional

thing that we are offering moreover we

have also set a dynamic pricing so by

using this application the officials can

earn money the shopkeepers can earn

money they can charge for the parking

space that they are providing so this

becomes an additional source of revenue

for them and everything is working on a

realtime basis so everything gets

registered in the app as well at the

same

time okay now coming to the next

important question uh in terms of

competition where do you stand are there

any similar platforms available in and

around uh your area or in this country

or in the world uh what is this

comparable with yes sir so there are few

few competitions like recently we saw a

news about oan so in oan they

implementing a similar parking uh

parking space management system but

majority of the parking space Management

Systems they do not use computer vision

so they only use uh the application

moreover they're also more oriented

towards dedicated parking space not the

street parking space for Smart City

development streets parking street

parking space is what's more important

not the dedicated one like uh like the

parking space that is available in malls

or in colleges they are not an issue for

us for the ministry the main issue is

whenever people Park on street or on the

road so that is our main issue and we

have we have solved it in a better way

by integrating computer vision Hardware

software and whatnot uh and the USP of

our application is that there is very

less human intervention as in we don't

need many people for our program to work

as we see that in a lot of parking

spaces we have two to three people who

are working there who are able who are

helping the people to park their spaces

some officers who are there to find uh

if some or toing vehicles for example so

our application requires a very very

less human intervention and it can give

results very efficiently it also has an

embedded map as you can see so it will

guide the user to the exact paring spot

so uh we've spoken about the competition

and you say there is competition right

now but you are a little ahead of them

because of certain features and certain

functions so but uh tell me one thing

what stops them to upgrade themselves

and bring themselves to your level and

be a really stiff competition for you so

is that uh something which is possible

which might happen in the future and if

that happens how do you plan to you know

fight

that okay that is actually a very good

question so right now we are using very

Advanced uh aim in models okay so and

moreover we are using the existing

infrastructure our competitor are not

using the exist infrastructure it

requires a lot of investment to set them

up right so that is how we are ahead of

them because we are actually using the

existing infrastructure not bringing

something new to the table so it's very

affordable for everybody and moreover it

also offers a source of Revenue that is

very important for all the shopkeepers

means the shopkeepers won't directly use

our application if if it force them to

right they will use the application if

they also get some benefit from it so

providing them an addition source of

Revenue providing them suppose even half

a lack of money it will motivate them a

lot to set this set up this

technology what are the future plans

what where do you take this from this

particular step what is the next step

for

this yes sir so we are planning to

create a startup so that we can extend

this project and make it see the light

of the day moreover we are also in touch

with the mayor's office with the mayor

of indor we also in touch with his

office and yeah soon we'll try to

implement it in a few regions of indor

and we'll start to scale it up so that

this application will be used for the

entire

city and have you figured out the

funding part of it will it be

bootstrapping or you're looking at some

kind of a seed capital or you know

something to that

nature yeah so our College uh nmms we

have some uh funders and investors who

found our uh idea very good and uh they

are the ones who are going to link us

with the mes and uh they they have

assured us that funding won't be a very

B problem and also uh a very additional

benefit is that we don't require a a a

very large amount of Mone we can

basically make our application work very

efficiently in very less amount of money

so uh funding is won't be a very uh big

problem and it it would be solved

moreover we have already been rewarded

with a one lakh cash price we'll be

using it for our application development

yes of course that pricee money is going

to come handy definitely I can I can

understand that yes sir it's welld

deserved one and uh now uh Sam and team

talking about the business plans and you

know taking this idea forward so tell me

in kind of a bullet points what all do

you require at this particular moment to

succeed or to take this forward or to

make this a commercial

viability

okay so first would be the expertise of

the people who are working at a very

high level and who have basically the

technical experience so that our

application actually works in the real

time scenario uh first would be uh

taking that help secondly would be the

funding part I guess uh for the uh the

money and uh and then we might require

access to CCTV footages OB obviously so

yeah that is very crucial thing for us

accessing the data existing the data

that our existing infrastructure is

collecting and yeah and last one is that

we might need access to a cloud

infrastructure a cloud database as well

so that our application will run on

cloud it will store its data on cloud so

that it is accessible for the whole city

or the whole state so I presume that you

must be working on these things right

now yes sir yes sir we are in right now

with some people okay so uh if I talk

about any timeline kind of a thing so in

how many months or years or whatever

time frame do you think this idea can be

turned into

reality so it might need us 6 months at

least to start start the phase one of

our project so in the phase one of our

project we'll be targeting on a small

location probably uh our University

parking area or the nearby Street

or or a square or something we'll start

by that the first phas will be testing

it in a small case scenario and uh the

all the problems which are going or the

inconsistencies which are going to come

we are going to be solving that so that

we are ready to take it on a little big

level yes sir so at least six months to

figure out the existing technical things

that are currently going on in indor in

our state okay and then we'll try to

improve it we'll try to launch our face

is one to try to implement it on our

area so guys there it is in the next 6

months we can expect a very smart

realtime parking space management system

coming into place so that's the power of

ideas that's the power of you know

Innovation That's The Power of smart

India haathon you know bringing up these

wonderful young minds and their ideas

and working on those so Sam and team

thank you so much for joining us today

and we wish you all the best and uh we

hope that uh within 6 months actually

will be able to start this project and

thereafter uh you will not look back and

uh take this thing to multiple cities

across the country and you will be a

name which will be well known in this

particular space and uh people will

remember you for you know solving this

huge problem that our country faces and

we wish you all the very best Sam and

all the team members thank you so much

for joining thank you so much thank

you so that was Sam and his team making

a difference there through smart India

hon so that is all for now we'll be back

with an array of innovation and

Brilliance as we showcase the smart

India hackathon winners who are not just

shaping the future but also contributing

to building a smarter and more

technologically advanced India stay

tuned for more episodes filled with

creativity and spirit of innovation see

you