#Prologic Technologies India

[prologic-technologies]

Best Shopify website development company in India

The Best Shopify website development company in India delivers top-tier, customized eCommerce solutions. Enhance your online store with expert design, development, and optimization for superior performance.

[intelmarketresearch]

Vehicle Unfitting Service Market Growth Analysis 2025

The vehicle unfitting service market is a rapidly growing industry that caters to the needs of various sectors, including law enforcement, military, and commercial vehicles. Vehicle unfitting involves the process of removing or modifying specialized equipment, such as communication systems, lighting, and storage solutions, from vehicles to repurpose them for different applications or to prepare them for resale.

Get free sample of this report at : https://www.intelmarketresearch.com/download-free-sample/178/vehicle-unfitting-service 

Market Size and Projections

In 2023, the global vehicle unfitting service market was valued at US$ 1472.18 million.

The market is anticipated to experience significant growth, reaching US$ 2298.76 million by 2030, with a Compound Annual Growth Rate (CAGR) of 6.52% during the forecast period of 2024-2030.

North American Market

The North American market for vehicle unfitting services is estimated to increase from US568.67million in 2023 to US 929.28 million by 2030.

This region is projected to witness a CAGR of 7.21% during the forecast period of 2024 through 2030.

Law Enforcement Vehicle Segment

The global market for vehicle unfitting services in the law enforcement vehicle segment is estimated to grow from US392.03 million in 2023 to US 641.75 million by 2030.

This segment is expected to experience a CAGR of 7.24% during the forecast period of 2024 through 2030.

Key Players and Market Share

The global vehicle unfitting service market is dominated by several major companies, including:

Knapheide

Holman

RMA Group

Safe Fleet

In 2023, the world's top three vendors in this market accounted for approximately 22.12% of the total revenue, indicating a relatively fragmented market landscape.

This report aims to provide a comprehensive presentation of the global market for Vehicle Unfitting Service, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Vehicle Unfitting Service.

The Vehicle Unfitting Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Vehicle Unfitting Service market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Vehicle Unfitting Service companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company

Knapheide

Ranger Design

RCS Communications

Safe Fleet

Farmbro

BearCom

Clarks

Holman

Cartwright Conversions

Rosenbauer

RMA Group

ProLogic

Levan Machine and Truck Equipment

Bonabros

Day Wireless Systems

Mike Albert Upfit

Canfield Equipment

Pro Comm Inc

Capfleet Upfitters

Pride Group

MCA

Wireless USA

EVO Upfitting

National Fleet Services

Advantage Outfitters

Segment by Type

Interior Upfitting

Exterior Upfitting

Segment by Application

Law Enforcement Vehicle

Emergency Services Vehicle

Commercial Vehicle

Other

By Region

North America

United States

Canada

Asia-Pacific

China

Japan

South Korea

Southeast Asia

India

Australia

Rest of Asia

Europe

Germany

France

U.K.

Italy

Russia

Rest of Europe

South America

Mexico

Brazil

Rest of Latin America

Middle East & Africa

Growing demand for customization and upfitting: There is an increasing trend towards vehicle customization and upfitting services, particularly in sectors like law enforcement, emergency services, and commercial fleets. This, in turn, drives the demand for vehicle unfitting services when these customized vehicles need to be repurposed or retired.

Rising focus on sustainability: The automotive industry is witnessing a shift towards more sustainable practices, including the recycling and repurposing of vehicle components. Vehicle unfitting services play a crucial role in this process by professionally removing and repurposing specialized equipment and parts.

Technological advancements: The introduction of advanced technologies like electric and autonomous vehicles is changing the landscape of the automotive industry. As a result, vehicle unfitting service providers need to adapt and develop new techniques for handling these advanced vehicles and their components.

Growth in leasing and rental services: The increasing popularity of vehicle leasing and rental services has led to a higher turnover of vehicles, driving the demand for efficient and cost-effective vehicle unfitting services.

Regulatory compliance: Strict environmental regulations and safety standards require professional vehicle unfitting services to ensure proper disposal, recycling, or repurposing of vehicle components, further driving the market growth.

key opportunities in the Vehicle Unfitting Service market include:

Expansion into new industries: Vehicle unfitting service providers can explore opportunities in new industries, such as renewable energy, telecommunications, and utilities, where specialized vehicles and equipment may require professional unfitting services.

Partnerships with automotive manufacturers and dealerships: Establishing partnerships with automotive manufacturers, dealerships, and leasing companies can provide a steady stream of work for vehicle unfitting service providers, as these businesses often require unfitting services for their vehicles.

Offering additional services: Vehicle unfitting service providers can expand their offerings to include services like vehicle customization, upfitting, maintenance, and repair. By offering a comprehensive suite of services, they can become a one-stop-shop for clients, fostering customer loyalty and retention.

Investing in technology and training: Adopting advanced technologies and investing in employee training can help vehicle unfitting service providers stay ahead of the competition. This includes the use of specialized tools and software to streamline the unfitting process and improve efficiency.

Focus on sustainability: With the increasing emphasis on sustainability, vehicle unfitting service providers can differentiate themselves by offering environmentally friendly solutions, such as recycling and repurposing vehicle components, and promoting eco-friendly disposal practices.

Get free sample of this report at : https://www.intelmarketresearch.com/download-free-sample/178/vehicle-unfitting-service 

[siddhesh7011]

Vehicle Unfitting Service Market Growth Analysis, Market Dynamics, Key Players and Innovations, Outlook and Forecast 2025-2031

The vehicle unfitting service market is a rapidly growing industry that caters to the needs of various sectors, including law enforcement, military, and commercial vehicles. Vehicle unfitting involves the process of removing or modifying specialized equipment, such as communication systems, lighting, and storage solutions, from vehicles to repurpose them for different applications or to prepare them for resale.

Get free sample of this report at : https://www.intelmarketresearch.com/automotive-and-transportation/178/vehicle-unfitting-service

Market Size and Projections

In 2023, the global vehicle unfitting service market was valued at US$ 1472.18 million.

The market is anticipated to experience significant growth, reaching US$ 2298.76 million by 2030, with a Compound Annual Growth Rate (CAGR) of 6.52% during the forecast period of 2024-2030.

North American Market

The North American market for vehicle unfitting services is estimated to increase from US568.67million in 2023 to US 929.28 million by 2030.

This region is projected to witness a CAGR of 7.21% during the forecast period of 2024 through 2030.

Law Enforcement Vehicle Segment

The global market for vehicle unfitting services in the law enforcement vehicle segment is estimated to grow from US392.03 million in 2023 to US 641.75 million by 2030.

This segment is expected to experience a CAGR of 7.24% during the forecast period of 2024 through 2030.

Key Players and Market Share

The global vehicle unfitting service market is dominated by several major companies, including:

Knapheide

Holman

RMA Group

Safe Fleet

In 2023, the world's top three vendors in this market accounted for approximately 22.12% of the total revenue, indicating a relatively fragmented market landscape.

This report aims to provide a comprehensive presentation of the global market for Vehicle Unfitting Service, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Vehicle Unfitting Service.

The Vehicle Unfitting Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Vehicle Unfitting Service market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Vehicle Unfitting Service companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company

Knapheide

Ranger Design

RCS Communications

Safe Fleet

Farmbro

BearCom

Clarks

Holman

Cartwright Conversions

Rosenbauer

RMA Group

ProLogic

Levan Machine and Truck Equipment

Bonabros

Day Wireless Systems

Mike Albert Upfit

Canfield Equipment

Pro Comm Inc

Capfleet Upfitters

Pride Group

MCA

Wireless USA

EVO Upfitting

National Fleet Services

Advantage Outfitters

Segment by Type

Interior Upfitting

Exterior Upfitting

Segment by Application

Law Enforcement Vehicle

Emergency Services Vehicle

Commercial Vehicle

Other

By Region

North America

United States

Canada

Asia-Pacific

China

Japan

South Korea

Southeast Asia

India

Australia

Rest of Asia

Europe

Germany

France

U.K.

Italy

Russia

Rest of Europe

South America

Mexico

Brazil

Rest of Latin America

Middle East & Africa

Growing demand for customization and upfitting: There is an increasing trend towards vehicle customization and upfitting services, particularly in sectors like law enforcement, emergency services, and commercial fleets. This, in turn, drives the demand for vehicle unfitting services when these customized vehicles need to be repurposed or retired.

Rising focus on sustainability: The automotive industry is witnessing a shift towards more sustainable practices, including the recycling and repurposing of vehicle components. Vehicle unfitting services play a crucial role in this process by professionally removing and repurposing specialized equipment and parts.

Technological advancements: The introduction of advanced technologies like electric and autonomous vehicles is changing the landscape of the automotive industry. As a result, vehicle unfitting service providers need to adapt and develop new techniques for handling these advanced vehicles and their components.

Growth in leasing and rental services: The increasing popularity of vehicle leasing and rental services has led to a higher turnover of vehicles, driving the demand for efficient and cost-effective vehicle unfitting services.

Regulatory compliance: Strict environmental regulations and safety standards require professional vehicle unfitting services to ensure proper disposal, recycling, or repurposing of vehicle components, further driving the market growth.

key opportunities in the Vehicle Unfitting Service market include:

Expansion into new industries: Vehicle unfitting service providers can explore opportunities in new industries, such as renewable energy, telecommunications, and utilities, where specialized vehicles and equipment may require professional unfitting services.

Partnerships with automotive manufacturers and dealerships: Establishing partnerships with automotive manufacturers, dealerships, and leasing companies can provide a steady stream of work for vehicle unfitting service providers, as these businesses often require unfitting services for their vehicles.

Offering additional services: Vehicle unfitting service providers can expand their offerings to include services like vehicle customization, upfitting, maintenance, and repair. By offering a comprehensive suite of services, they can become a one-stop-shop for clients, fostering customer loyalty and retention.

Investing in technology and training: Adopting advanced technologies and investing in employee training can help vehicle unfitting service providers stay ahead of the competition. This includes the use of specialized tools and software to streamline the unfitting process and improve efficiency.

Focus on sustainability: With the increasing emphasis on sustainability, vehicle unfitting service providers can differentiate themselves by offering environmentally friendly solutions, such as recycling and repurposing vehicle components, and promoting eco-friendly disposal practices.

Get free sample of this report at : https://www.intelmarketresearch.com/automotive-and-transportation/178/vehicle-unfitting-service

[aimarketresearch]

Software Development Artificial Intelligence Market Size, Share, Trends, Key Drivers, Demand and Opportunities

Global Software Development Artificial Intelligence (AI) Market  - Size, Share, Demand, Industry Trends and Opportunities

Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends

Access Full 350 Pages PDF Report @

**Segments**

- **Component**: The software development AI market can be segmented based on component into software tools and platforms. Software tools are essential for developers to streamline their coding process and improve productivity. AI-powered platforms offer a more comprehensive solution by integrating various tools for different stages of software development.

- **Deployment Mode**: This segment includes on-premises and cloud-based deployment models. On-premises deployment provides more control and security but requires higher upfront costs and maintenance. Cloud-based deployment offers scalability and flexibility, making it a popular choice for many organizations looking to leverage AI in software development.

- **End-User**: The end-user segment categorizes the market based on who utilizes software development AI solutions. This includes large enterprises, small and medium-sized enterprises (SMEs), and individual developers. Each category has unique requirements and preferences when it comes to adopting AI technologies for software development.

**Market Players**

- **Microsoft Corporation**: A key player in the software development AI market, Microsoft offers various AI tools and platforms like Azure Machine Learning and Visual Studio IntelliCode. These solutions cater to developers looking to incorporate AI capabilities into their software development process.

- **Google LLC**: Google is at the forefront of AI technology with products like TensorFlow and Cloud AI platform. Their AI-driven tools help developers build intelligent applications and streamline software development tasks.

- **IBM Corporation**: IBM provides AI solutions through its Watson platform, aimed at enhancing software development processes with cognitive capabilities. Their offerings include natural language processing tools and predictive analytics for developers.

- **Amazon Web Services, Inc. (AWS)**: As a leading cloud service provider, AWS offers AI services such as Amazon SageMaker for building, training, and deploying machine learning models. These tools empower developers to leverage AI for software development in a scalable and cost-effective manner.

- **Intel Corporation**: Intel focuses on AI hardware and software solutions, including AI accelerators and optimized frameworks for developers. By offering AI-specific technologies, Intel contributes to advancing the capabilities of AI-drivenThe software development AI market is a rapidly evolving landscape with various segments catering to different needs and preferences of developers and organizations. One of the key segments in this market is based on components, which can be categorized into software tools and platforms. Software tools play a crucial role in enhancing developers' efficiency by streamlining coding processes and improving productivity. On the other hand, AI-powered platforms offer a more comprehensive solution by integrating a variety of tools tailored for different stages of software development. This segmentation allows developers to choose the right components that align with their specific requirements and workflow.

Another significant segment in the software development AI market is based on deployment modes, which include on-premises and cloud-based models. On-premises deployment provides organizations with more control and security over their data but requires higher upfront costs and maintenance. In contrast, cloud-based deployment offers scalability and flexibility, making it an attractive option for organizations looking to leverage AI capabilities without the burden of infrastructure management. This segment provides developers and organizations with the flexibility to choose the deployment mode that best suits their needs and constraints.

The end-user segment further categorizes the software development AI market based on the entities that utilize AI solutions for software development. This segment includes large enterprises, small and medium-sized enterprises (SMEs), and individual developers, each with unique requirements and preferences when it comes to adopting AI technologies. Large enterprises often seek AI solutions to drive innovation and gain a competitive edge, while SMEs look for cost-effective solutions that can enhance their development processes. Individual developers, on the other hand, may prioritize tools that improve their coding efficiency and help them stay competitive in the market. Understanding the distinct needs of these end-user groups is crucial for market players to develop tailored AI solutions that address specific pain points and drive adoption.

In terms of market players, companies like Microsoft Corporation, Google LLC, IBM Corporation, Amazon Web Services, Inc. (AWS), and Intel Corporation are key players shaping the software development AI market. Microsoft offers a range of AI tools**Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends and Forecast to 2029

The software development AI market is witnessing significant growth and evolution driven by advancements in programming languages, development phases, approaches, and applications. Python, R, Lisp, Prolog, and Java are prominent programming languages utilized in AI development, each offering specific advantages and functionalities. The different development phases, including planning, knowledge acquisition and analysis, and system evaluation, play a crucial role in the software development AI process, enabling developers to create intelligent and efficient solutions. Various approaches such as natural language processing techniques, neural networks, fuzzy logic, and data mining enhance the capabilities

Core Objective of Software Development Artificial Intelligence (AI) Market:

Every firm in the Software Development Artificial Intelligence (AI) Market has objectives but this market research report focus on the crucial objectives, so you can analysis about competition, future market, new products, and informative data that can raise your sales volume exponentially.

Size of the Software Development Artificial Intelligence (AI) Market and growth rate factors.

Important changes in the future Software Development Artificial Intelligence (AI) Market.

Top worldwide competitors of the Market.

Scope and product outlook of Software Development Artificial Intelligence (AI) Market.

Developing regions with potential growth in the future.

Tough Challenges and risk faced in Market.

Global Software Development Artificial Intelligence (AI) top manufacturers profile and sales statistics.

Key takeaways from the Software Development Artificial Intelligence (AI) Market report:

Detailed considerate of Software Development Artificial Intelligence (AI) Market-particular drivers, Trends, constraints, Restraints, Opportunities and major micro markets.

Comprehensive valuation of all prospects and threat in the

In depth study of industry strategies for growth of the Software Development Artificial Intelligence (AI) Market-leading players.

Software Development Artificial Intelligence (AI) Market latest innovations and major procedures.

Favorable dip inside Vigorous high-tech and market latest trends remarkable the Market.

Conclusive study about the growth conspiracy of Software Development Artificial Intelligence (AI) Market for forthcoming years.

Frequently Asked Questions

What is the Future Market Value for Software Development Artificial Intelligence (AI) Market?

What is the Growth Rate of the Software Development Artificial Intelligence (AI) Market?

What are the Major Companies Operating in the Software Development Artificial Intelligence (AI) Market?

Which Countries Data is covered in the Software Development Artificial Intelligence (AI) Market?

What are the Main Data Pointers Covered in Software Development Artificial Intelligence (AI) Market Report?

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[prologictechno]

Prologic Technologies company is the global management IT Consulting firm with customized solutions and approach.

[letsfuzzycollectorglitterbl-blog]

Machine learning (Python)

Machine learning is the study of algorithms and statistical models that focuses on the development of computer programs that can access data and use it to progressively improve their performance on a specific task. Our company IT Science Projects provides prototype models, projects and software solutions in machine learning to academic and commercial clients in India and worldwide.

Software Solutions for Machine Learning offers expertise to both universities as well as for businesses. We give advice on industry best practices, emerging technology and R&D. We have got a huge list of new and innovative project ideas based on latest market needs like Machine Learning Algorithms, Computer Vision, Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning, Neural Networks, Reinforcement Learning, Predictive Learning, Bayesian Network, Data Mining etc in different programming languages like, python, Java, Prolog, Lisp and R language for students, researchers and enterprisers.

 Automated machine learning is a technology invented to automate many of the tasks needed to develop artificial intelligence (AI) and machine learning applications. As it is a new emerging technology and many people are not aware of this technology, you can put forward some interesting postulates of this concept with your research work. You can get thesis guidance or project assistance in this topic from our experts at Software Solutions for Machine Learning.

 These days Machine Learning is a new trending field and is used as an application of artificial intelligence. By incorporating the knowledge and expertise of some of the world’s top data scientists, Software Solutions for Machine Learning enables more users across an enterprise to succeed with machine learning by simply utilizing their understanding of data and business. With our expert’s guidance, you can easily build and compare machine learning models, and embed your chosen model in a variety of ways – all with Enterprise-grade stability and scalability.

 Our development team is always dedicated for improvisation. Whether to optimize the performance or adding new functions to your business, you can count on them, day after day, to develop and evolve our product according to the needs of our customers. We have worked hard to make sure that you do not have to do a lot of hoop-jumping when you choose Software Solutions for Machine Learning as your consultant. We are here, to be your partner in implementation as we have invested in giving you the best experience possible.  

 A consultant like IT Science Projects can take the business to the next level -- that is, "significant growth in revenues and profits with a better quality of life owning, operating and working. The best names in machine learning industry rely on us for guidance and support.

 Contact Us:

 Phone: - +91-9372214364

Email: - contact@itscienceprojects.com

Web: - www.itscienceprojects.com

[sanjayseo7-blog]

B. Tech in Artificial Intelligence and Machine Learning

The B. Tech in Artificial Intelligence and Machine Learning program is primarily a four-year undergraduate degree program offered in the Engineering stream.

The students from best colleges for B. Tech in Artificial Intelligence and Machine Learning are taught to write the machine's code. This code essentially serves as a guiding instruction for the machine, allowing the machine to perform tasks with less human intervention.

To communicate with the machines, students must understand the specific language that the machine understands; thus, in the B. Tech program, students are taught the languages that can be input into the machine. This program introduces students to computer languages such as Prolog, Lisp, JAVA, and Python.

List of best Private B. Tech Artificial Intelligence Colleges

Students pursuing a B. Tech in Artificial Intelligence and Machine Learning will be taught Mathematics and Physics in modular forms during their first few semesters, with the program then shifting to subjects at the core of AI. Students can avail this program from popular B. Tech in Artificial Intelligence colleges in Greater Noida including...

KCC Institute of Technology and Management

GL Bajaj Institute of Technology

Galgotias College of engineering and Technology

IEC college of Engineering and Technology

JSS Academy of Technical Education

National Institute of Technology

IIMT College of Engineering

National Institute of Engineering and Technology

IEC College of Engineering and Technology

ITS Engineering College·  

The average annual fee for a B. Tech in Artificial Intelligence and Machine Learning is around 1-2 lakhs. Software Companies like Oracle, Wipro, and TCS offer placements to the graduates of this course.

Graduates are typically offered a placement package of 10-15 LPA.

Eligibility criteria for B. Tech in Artificial Intelligence and Machine Learning

Graduates of B. Tech in artificial intelligence and machine learning are still in demand, and their demand is only expected to grow. To be eligible for this four-year undergraduate program, students must first have passed their 10+2 Matric exams from a recognized board; second, they must have passed their exams with Mathematics and Physics as compulsory subjects. The final requirement may differ because different institutes have different cut offs and entrance criteria for students.

The candidate must have passed his 10+2 PCM examination from a recognized state/central education board.

The candidate must have received an aggregate of 50% in his 10+2 matriculation examinations. Candidates from the SC/ST category will be eligible for admission if they received 45 percent in their matriculation examinations.

Finally, specific university-based examinations must be passed in order to be considered eligible for this course.·

Entrance Exams for B. Tech in Artificial Intelligence and Machine Learning

The following exams can be taken for admission to the given course; however, it should be noted that best colleges for B. Tech in Artificial Intelligence consider the candidate's score in the IIT-JEE examination as a criterion for admission; thus, the candidate may only take that particular examination and then apply to various universities.

JEE Main

JEE Advance

BITSAT

SRJEEE

VITEEE·  

The Admissions Procedure

Admission to the B. Tech program is primarily handled in two ways. An institute may either conduct an entrance exam or evaluate candidates' merit based on their performance in 10+2 matric exams. Some institutes hold separate entrance exams that are solely focused on seat allocation in B. Tech program. While other institutes hold similar B. Tech Entrance Exams, they also consider the candidate's performance in other all India wide exams, such as JEE, when granting admission. The steps in the admission procedure are listed below.

The candidate must register themselves for JEE Main entrance exam and proceed with the application process that requires candidates to fill out an application with all personal and academic details.

After submitting the application, all candidates must upload scanned copies of their documents including Government Issues ID proof, 10+12 mark sheets, and others. Make sure to print out the application form for reference in the future.

Now, candidates must pay their application fee via credit/debit card, internet banking, etc.

All candidates will be issues an admit card after once all the information are verified.

Based on the result of the entrance test, candidates who scored above the required marks with higher ranking will be invited by institutes and colleges for counseling and admission process. Some institutes might have a personal interview session which students might need to clear to get admission.

Before you attend the entrance exam, make sure to prepare thoroughly keeping in mind the entire B. Tech artificial intelligence syllabus.

Why KCC Institute of Technology and Management?

KCC Institute of Technology and Management is a private institution for Technical education based in Greater Noida offering B. Tech courses in a range of Engineering disciplines via direct admissions, management quota and entrance exams. Ranked among top B. Tech Computer Science Colleges in Delhi NCR, this institution excels in offering best quality education at the most affordable prices.  Spread across 40 acres, the institute has modern infrastructure, skilled faculties, hostel accommodations, transportation facility and provide internships, placements, scholarships to help students excel in their career.

Source: https://topbtechcollegeingreaternoida.blogspot.com/2022/05/b-tech-in-artificial-intelligence-and.html

[imageservicesindia]

Photo Restoration Services: Benefits and Limitations to Know

Old photos are sweet memories of our life. But, over time, these old photographs lose their quality and are sometimes worn out. Well, these valuable memories should be kept intact as a part of important events in our lives, and that can only be done with the help of photo restoration technology. The top photo restoration services mentioned below can make the necessary alterations to the images so that you can save them for a longer period. In case you find it difficult at your end to use, then seeking the support of the professional experts for this service will be the right decision. We are going to share with you fee Photo restoration services, which you can approach and will be worth your time and money.

FixThePhoto

Expert photographers and videographers make use of this advanced service. An affordable price is charged for photo and video editing. You will get the delivery faster than you can ever expect. So, it offers you the scope to have the best-edited photos, at the most affordable price and in a short time. It’s not an amateur platform in the image editing industry and offers several services for photographers as well as for videographers online.

WeEdit photos

WeEdit photos are there in the industry for the last 17 years and are doing the editing task successfully. The experts here work with a wide array of image categories. Their services include competent photo restoration too. Three-level restoration services are offered to start from the basic to the advance. The price they charge is reasonable and regular are offered discounts too. The normal delivery time of edited images varies between 2-5 days.

DamagedPhotoRestoration

It’s being 10 years now DamagedPhotoRestoration is offering its services in this sphere. The experts take a maximum of 2 business days to deliver the edited images to the customers. Once you take a look at the before and after images, you will understand how good are they in their work.

ScanCafe

This agency is known for scanning service of:

Slides

Photographs

Negatives

Videos

Besides scanning, they also offer expert services in photo restoration. However, you may feel a bit down with the delivery schedule. The normal turnaround period is between 8 to 10 business days, which is a bit longer compared to other service providers.

Image Cleanup

You can also get the necessary photo restoration services from this site of Image Cleanup. But the website hardly mentions the type of images that the experts restore successfully. The experts take nearly 2 weeks to deliver a restored photo. However, this turnaround is not satisfactory at all. Sometimes the customers may feel unsatisfied with the restored image quality.

The above services for photo restorations may look expensive, and you may look for an affordable service provider. One of the trusted companies known for offering high-quality photo restoration services is Prologics. This company is having years of experience in the industry. It is known for offering outstanding services in Photo restoration and that too at an affordable price.

Prologics Bangalore India; leading Photo & Image Editing Company offers 3D/2D floor plans, Photo Restoration, Photo & Image Manipulation, Enhancement & Alteration, Photo/Image Clipping, Portrait Retouching, Virtual Staging Services at affordable price.

[bookpiofficial]

Statistical Distribution Analysis Implementation Using PROLOG and MATLAB for Wind Energy | Chapter 02 | Theory and Applications of Mathematical Science Vol. 2

This paper analyses wind speed characteristics and wind power potential of Naganur site using statistical probability parameters. A measured 10-minute time series average wind speed over a period of 4 years (2006- 2009) was obtained from Site. The results of mean wind speed data is the first step of prediction of wind speed data of the site under consideration and a PROLOG program was designed and developed to calculate the Annual mean wind speed data of the site and to assess the wind power potentials, MATLAB programming is used. The Weibull two parameters (k and c) were computed in the analysis of wind speed data. The data used were real time site data and calculated by using the MATLAB programming to determine and generate the Weibull and Rayleigh distribution functions. The monthly values of k range from 2.21 to 8.64 and the values of c ranged from 2.28 to 6.80. The most probable wind speed and corresponding maximum energy are in the range of 2.45 to 6.52 and 3.10 to 6.26 respectively. The Weibull and Rayleigh distributions also revealed estimated wind power densities ranging between 7.30 W/m2 to 116.51 W/m2 and 9.71 W/m2 to 266.00 W/m2 respectively at 10 m height for the location under study. This paper is relevant to a decision-making process on significant investment in a wind power project and use of PROLOG programming to calculate the Annual mean wind speed data of the site.

Author(s) Details

Dr. K. Mahesh Department of Electrical and Electronics Engineering, Sir M Visvesvaraya Institute of Technology, Bengaluru, India.

J. Lithesh Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, India.

View full book: http://bp.bookpi.org/index.php/bpi/catalog/book/140

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Machine Learning Project

Machine learning is the study of algorithms and statistical models that focus on the development of computer programs that can access data and use it to progressively improve their performance on a specific task. Our company IT Science Projects provides prototype models, projects and software solutions in machine learning to academic and commercial clients in India and worldwide.

Software Solutions for Machine Learning offers expertise to both universities as well as for businesses. We give advice on industry best practices, emerging technology, and R&D. We have got a huge list of new and innovative project ideas based on latest market needs like Machine Learning Algorithms, Computer Vision, Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning, Neural Networks, Reinforcement Learning, Predictive Learning, Bayesian Network, Data Mining etc in different programming languages like, Python, Java, Prolog, Lisp and R language for students, researchers and enterprises.

Automated machine learning is a technology invented to automate many of the tasks needed to develop artificial intelligence (AI) and machine learning applications. As it is a new emerging technology and many people are not aware of this technology, you can put forward some interesting postulates of this concept with your research work. You can get thesis guidance or project assistance in this topic from our experts at Software Solutions for Machine Learning.

These days Machine Learning is a new trending field and is used as an application of artificial intelligence. By incorporating the knowledge and expertise of some of the world’s top data scientists, Software Solutions for Machine Learning enables more users across an enterprise to succeed with machine learning by simply utilizing their understanding of data and business. With our expert’s guidance, you can easily build and compare machine learning models, and embed your chosen model in a variety of ways – all with Enterprise-grade stability and scalability.

Our development team is always dedicated to improvisation. Whether to optimize the performance or adding new functions to your business, you can count on them, day after day, to develop and evolve our product according to the needs of our customers. We have worked hard to make sure that you do not have to do a lot of hoop-jumping when you choose Software Solutions for Machine Learning as your consultant. We are here, to be your partner in implementation as we have invested in giving you the best experience possible.

A consultant like IT Science Projects can take the business to the next level — that is, “significant growth in revenues and profits with a better quality of life owning, operating and working. The best names in machine learning industry rely on us for guidance and support.

Contact Us:

Phone: – +91-9372214364

Email: – contact@itscienceprojects.com

Web: – www.itscienceprojects.com

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Machine learning

Machine learning is the study of algorithms and statistical models that focus on the development of computer programs that can access data and use it to progressively improve their performance on a specific task. Our company IT Science Projects provides prototype models, projects and software solutions in machine learning to academic and commercial clients in India and worldwide.

Software Solutions for Machine Learning offers expertise to both universities as well as for businesses. We give advice on industry best practices, emerging technology, and R&D. We have got a huge list of new and innovative project ideas based on latest market needs like Machine Learning Algorithms, Computer Vision, Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning, Neural Networks, Reinforcement Learning, Predictive Learning, Bayesian Network, Data Mining etc in different programming languages like, Python, Java, Prolog, Lisp and R language for students, researchers and enterprises.

Automated machine learning is a technology invented to automate many of the tasks needed to develop artificial intelligence (AI) and machine learning applications. As it is a new emerging technology and many people are not aware of this technology, you can put forward some interesting postulates of this concept with your research work. You can get thesis guidance or project assistance in this topic from our experts at Software Solutions for Machine Learning.

These days Machine Learning is a new trending field and is used as an application of artificial intelligence. By incorporating the knowledge and expertise of some of the world’s top data scientists, Software Solutions for Machine Learning enables more users across an enterprise to succeed with machine learning by simply utilizing their understanding of data and business. With our expert’s guidance, you can easily build and compare machine learning models, and embed your chosen model in a variety of ways – all with Enterprise-grade stability and scalability.

Our development team is always dedicated to improvisation. Whether to optimize the performance or adding new functions to your business, you can count on them, day after day, to develop and evolve our product according to the needs of our customers. We have worked hard to make sure that you do not have to do a lot of hoop-jumping when you choose Software Solutions for Machine Learning as your consultant. We are here, to be your partner in implementation as we have invested in giving you the best experience possible.

A consultant like IT Science Projects can take the business to the next level — that is, “significant growth in revenues and profits with a better quality of life owning, operating and working. The best names in machine learning industry rely on us for guidance and support.

Contact Us:

Phone: – +91-9372214364

Email: – contact@itscienceprojects.com

Web: – www.itscienceprojects.com

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Vehicle Unfitting Service Market Growth Analysis, Market Dynamics, Key Players and Innovations, Outlook and Forecast 2025-2031

The vehicle unfitting service market is a rapidly growing industry that caters to the needs of various sectors, including law enforcement, military, and commercial vehicles. Vehicle unfitting involves the process of removing or modifying specialized equipment, such as communication systems, lighting, and storage solutions, from vehicles to repurpose them for different applications or to prepare them for resale.

Market Size and Projections

In 2023, the global vehicle unfitting service market was valued at US$ 1472.18 million.

The market is anticipated to experience significant growth, reaching US$ 2298.76 million by 2030, with a Compound Annual Growth Rate (CAGR) of 6.52% during the forecast period of 2024-2030.

North American Market

The North American market for vehicle unfitting services is estimated to increase from US568.67million in 2023 to US 929.28 million by 2030.

This region is projected to witness a CAGR of 7.21% during the forecast period of 2024 through 2030.

Law Enforcement Vehicle Segment

The global market for vehicle unfitting services in the law enforcement vehicle segment is estimated to grow from US392.03 million in 2023 to US 641.75 million by 2030.

This segment is expected to experience a CAGR of 7.24% during the forecast period of 2024 through 2030.

Key Players and Market Share

The global vehicle unfitting service market is dominated by several major companies, including:

Knapheide

Holman

RMA Group

Safe Fleet

In 2023, the world's top three vendors in this market accounted for approximately 22.12% of the total revenue, indicating a relatively fragmented market landscape.

This report aims to provide a comprehensive presentation of the global market for Vehicle Unfitting Service, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Vehicle Unfitting Service.

The Vehicle Unfitting Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Vehicle Unfitting Service market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Vehicle Unfitting Service companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company

Knapheide

Ranger Design

RCS Communications

Safe Fleet

Farmbro

BearCom

Clarks

Holman

Cartwright Conversions

Rosenbauer

RMA Group

ProLogic

Levan Machine and Truck Equipment

Bonabros

Day Wireless Systems

Mike Albert Upfit

Canfield Equipment

Pro Comm Inc

Capfleet Upfitters

Pride Group

MCA

Wireless USA

EVO Upfitting

National Fleet Services

Advantage Outfitters

Segment by Type

Interior Upfitting

Exterior Upfitting

Segment by Application

Law Enforcement Vehicle

Emergency Services Vehicle

Commercial Vehicle

Other

By Region

North America

United States

Canada

Asia-Pacific

China

Japan

South Korea

Southeast Asia

India

Australia

Rest of Asia

Europe

Germany

France

U.K.

Italy

Russia

Rest of Europe

South America

Mexico

Brazil

Rest of Latin America

Middle East & Africa

Growing demand for customization and upfitting: There is an increasing trend towards vehicle customization and upfitting services, particularly in sectors like law enforcement, emergency services, and commercial fleets. This, in turn, drives the demand for vehicle unfitting services when these customized vehicles need to be repurposed or retired.

Rising focus on sustainability: The automotive industry is witnessing a shift towards more sustainable practices, including the recycling and repurposing of vehicle components. Vehicle unfitting services play a crucial role in this process by professionally removing and repurposing specialized equipment and parts.

Technological advancements: The introduction of advanced technologies like electric and autonomous vehicles is changing the landscape of the automotive industry. As a result, vehicle unfitting service providers need to adapt and develop new techniques for handling these advanced vehicles and their components.

Growth in leasing and rental services: The increasing popularity of vehicle leasing and rental services has led to a higher turnover of vehicles, driving the demand for efficient and cost-effective vehicle unfitting services.

Regulatory compliance: Strict environmental regulations and safety standards require professional vehicle unfitting services to ensure proper disposal, recycling, or repurposing of vehicle components, further driving the market growth.

key opportunities in the Vehicle Unfitting Service market include:

Expansion into new industries: Vehicle unfitting service providers can explore opportunities in new industries, such as renewable energy, telecommunications, and utilities, where specialized vehicles and equipment may require professional unfitting services.

Partnerships with automotive manufacturers and dealerships: Establishing partnerships with automotive manufacturers, dealerships, and leasing companies can provide a steady stream of work for vehicle unfitting service providers, as these businesses often require unfitting services for their vehicles.

Offering additional services: Vehicle unfitting service providers can expand their offerings to include services like vehicle customization, upfitting, maintenance, and repair. By offering a comprehensive suite of services, they can become a one-stop-shop for clients, fostering customer loyalty and retention.

Investing in technology and training: Adopting advanced technologies and investing in employee training can help vehicle unfitting service providers stay ahead of the competition. This includes the use of specialized tools and software to streamline the unfitting process and improve efficiency.

Focus on sustainability: With the increasing emphasis on sustainability, vehicle unfitting service providers can differentiate themselves by offering environmentally friendly solutions, such as recycling and repurposing vehicle components, and promoting eco-friendly disposal practices.

Get free sample of this report at : https://www.intelmarketresearch.com/automotive-and-transportation/178/vehicle-unfitting-service

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Software-Defined Networking Orchestration Market Size, Share, Trends, Key Drivers, Demand and Opportunities

Global Software Development Artificial Intelligence (AI) Market  - Size, Share, Demand, Industry Trends and Opportunities

Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends

Access Full 350 Pages PDF Report @

**Segments**

- **Component**: The software development AI market can be segmented based on component into software tools and platforms. Software tools are essential for developers to streamline their coding process and improve productivity. AI-powered platforms offer a more comprehensive solution by integrating various tools for different stages of software development.

- **Deployment Mode**: This segment includes on-premises and cloud-based deployment models. On-premises deployment provides more control and security but requires higher upfront costs and maintenance. Cloud-based deployment offers scalability and flexibility, making it a popular choice for many organizations looking to leverage AI in software development.

- **End-User**: The end-user segment categorizes the market based on who utilizes software development AI solutions. This includes large enterprises, small and medium-sized enterprises (SMEs), and individual developers. Each category has unique requirements and preferences when it comes to adopting AI technologies for software development.

**Market Players**

- **Microsoft Corporation**: A key player in the software development AI market, Microsoft offers various AI tools and platforms like Azure Machine Learning and Visual Studio IntelliCode. These solutions cater to developers looking to incorporate AI capabilities into their software development process.

- **Google LLC**: Google is at the forefront of AI technology with products like TensorFlow and Cloud AI platform. Their AI-driven tools help developers build intelligent applications and streamline software development tasks.

- **IBM Corporation**: IBM provides AI solutions through its Watson platform, aimed at enhancing software development processes with cognitive capabilities. Their offerings include natural language processing tools and predictive analytics for developers.

- **Amazon Web Services, Inc. (AWS)**: As a leading cloud service provider, AWS offers AI services such as Amazon SageMaker for building, training, and deploying machine learning models. These tools empower developers to leverage AI for software development in a scalable and cost-effective manner.

- **Intel Corporation**: Intel focuses on AI hardware and software solutions, including AI accelerators and optimized frameworks for developers. By offering AI-specific technologies, Intel contributes to advancing the capabilities of AI-drivenThe software development AI market is a rapidly evolving landscape with various segments catering to different needs and preferences of developers and organizations. One of the key segments in this market is based on components, which can be categorized into software tools and platforms. Software tools play a crucial role in enhancing developers' efficiency by streamlining coding processes and improving productivity. On the other hand, AI-powered platforms offer a more comprehensive solution by integrating a variety of tools tailored for different stages of software development. This segmentation allows developers to choose the right components that align with their specific requirements and workflow.

Another significant segment in the software development AI market is based on deployment modes, which include on-premises and cloud-based models. On-premises deployment provides organizations with more control and security over their data but requires higher upfront costs and maintenance. In contrast, cloud-based deployment offers scalability and flexibility, making it an attractive option for organizations looking to leverage AI capabilities without the burden of infrastructure management. This segment provides developers and organizations with the flexibility to choose the deployment mode that best suits their needs and constraints.

The end-user segment further categorizes the software development AI market based on the entities that utilize AI solutions for software development. This segment includes large enterprises, small and medium-sized enterprises (SMEs), and individual developers, each with unique requirements and preferences when it comes to adopting AI technologies. Large enterprises often seek AI solutions to drive innovation and gain a competitive edge, while SMEs look for cost-effective solutions that can enhance their development processes. Individual developers, on the other hand, may prioritize tools that improve their coding efficiency and help them stay competitive in the market. Understanding the distinct needs of these end-user groups is crucial for market players to develop tailored AI solutions that address specific pain points and drive adoption.

In terms of market players, companies like Microsoft Corporation, Google LLC, IBM Corporation, Amazon Web Services, Inc. (AWS), and Intel Corporation are key players shaping the software development AI market. Microsoft offers a range of AI tools**Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends and Forecast to 2029

The software development AI market is witnessing significant growth and evolution driven by advancements in programming languages, development phases, approaches, and applications. Python, R, Lisp, Prolog, and Java are prominent programming languages utilized in AI development, each offering specific advantages and functionalities. The different development phases, including planning, knowledge acquisition and analysis, and system evaluation, play a crucial role in the software development AI process, enabling developers to create intelligent and efficient solutions. Various approaches such as natural language processing techniques, neural networks, fuzzy logic, and data mining enhance the capabilities

Core Objective of Software Development Artificial Intelligence (AI) Market:

Every firm in the Software Development Artificial Intelligence (AI) Market has objectives but this market research report focus on the crucial objectives, so you can analysis about competition, future market, new products, and informative data that can raise your sales volume exponentially.

Size of the Software Development Artificial Intelligence (AI) Market and growth rate factors.

Important changes in the future Software Development Artificial Intelligence (AI) Market.

Top worldwide competitors of the Market.

Scope and product outlook of Software Development Artificial Intelligence (AI) Market.

Developing regions with potential growth in the future.

Tough Challenges and risk faced in Market.

Global Software Development Artificial Intelligence (AI) top manufacturers profile and sales statistics.

Key takeaways from the Software Development Artificial Intelligence (AI) Market report:

Detailed considerate of Software Development Artificial Intelligence (AI) Market-particular drivers, Trends, constraints, Restraints, Opportunities and major micro markets.

Comprehensive valuation of all prospects and threat in the

In depth study of industry strategies for growth of the Software Development Artificial Intelligence (AI) Market-leading players.

Software Development Artificial Intelligence (AI) Market latest innovations and major procedures.

Favorable dip inside Vigorous high-tech and market latest trends remarkable the Market.

Conclusive study about the growth conspiracy of Software Development Artificial Intelligence (AI) Market for forthcoming years.

Frequently Asked Questions

What is the Future Market Value for Software Development Artificial Intelligence (AI) Market?

What is the Growth Rate of the Software Development Artificial Intelligence (AI) Market?

What are the Major Companies Operating in the Software Development Artificial Intelligence (AI) Market?

Which Countries Data is covered in the Software Development Artificial Intelligence (AI) Market?

What are the Main Data Pointers Covered in Software Development Artificial Intelligence (AI) Market Report?

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Website Development Training In India / Mohali / Chandigardh

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Prologic trains passionate, creative people in web and mobile development so they can increase their value in the workplace.

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B. Tech Artificial Intelligence Colleges: Admission, Eligibility, Fee, Career

Artificial intelligence (AI) is a broad concept that refers to the ability of intelligent computers to do tasks that would normally need human intelligence. The B. Tech in Artificial Intelligence is aimed to assist students in the development of intelligent machines, computer software, or applications using a combination of machine learning and artificial intelligence. This course will assist you in obtaining clever solutions in a variety of disciplines, which we shall explain further below. This blog will assist you in pursuing a B. Tech in Artificial Intelligence if you intend to pursue a career in this subject. Furthermore, we will cover points related to finding the best B. Tech Artificial Intelligence colleges.

What is B. Tech in Artificial Intelligence?

Tech (Bachelors of Technology in Artificial Intelligence) is a four-year non-medical undergraduate degree program in artificial intelligence offered by B. Tech Computer Science colleges in Delhi. Artificial Intelligence’s major purpose is to program computers to solve problems using example data or expertise. Students are taught numerous computer science languages through which a person can interface with them to complete various jobs. The curriculum offered by B. Tech Computer Science Colleges covers certain common languages such as HTML, Python, Java, and Prolog.

Eligibility Criteria for B. Tech IT in Delhi NCR

Different colleges/universities have different eligibility requirements for admission to B. Tech IT in Delhi NCR and Artificial Intelligence is a specialization students can choose to excel in AI training. Some B. Tech Artificial Intelligence Colleges admit students based on their grades in the 12th grade, while others require students to take test admission exams.

The table below contains information for candidates’ engineers who must meet the following criteria to be considered:

Applicants must have completed a 10+2 (recognized board) Science Stream (Physics & Math are required) or a Bachelor of Science in a non-medical discipline [MPC topics] or a Bachelor of Computer Application [BCA] or BSc Computer Science or equivalent.

At least 60 points in the last qualifying exam.

Conditions of reservation may apply.

Course Fees & Admission

This is a four-year undergraduate program that accepts applicants based on merit or entrance examinations. As previously stated, an applicant must meet the conditions in order to take the test. Seats are also assigned based on the grades received. In B. Tech Computer Science Colleges in India, the average annual course fee ranges from 1 to 5 lacs. The fees also differ depending on whether the institute is public or private.

B.Tech Artificial Intelligence Colleges Syllabus

The curriculum for B. Tech in Artificial Intelligence program degree differs from one institute to the next. The following are some of the major subjects and topics for each term:

Term 1 – Introduction to Artificial Learning & Machine Learning Programming for Problem Solving Computer-Aided Design & Drafting

Term 2 – Engineering Chemistry Mechanical Workshop Advanced Physics

Term 3 – Introduction to Biology for Engineers Discrete Structures OOPS using Java

Term 4 – Principles of Operating System Computer Networks Management Course

Term 5 – Design & Analysis of Algorithm Theory of Computation Software Engineering & Testing Methodologies

Term 6 – Compiler Design Artificial Intelligence Neural Networks

Term 7 – Web Technologies Introduction to Deep Learning

Term 8 – Robotics and Intelligent System

Admission Process for B. Tech Computer Science Colleges in Delhi

The fundamental admission process for AI B. Tech courses include interested individuals filling out an application form and registering for the course within the time-frame set by the B.Tech Artificial Intelligence Colleges or institutes.

Candidates must esquire about Artificial Intelligence course admissions from the colleges to which they are applying.

The usual admission process for AI courses requires eligible candidates to complete application forms and register for the course during the college or university’s designated time window.

To be deemed eligible for the course, applicants must submit their documentation for verification by college officials.

Some B.Tech Artificial Intelligence Colleges administer entrance exams to check candidates’ expertise before admitting them to Artificial Intelligence programs.

Before enrolling for the AI B. Tech courses offered by the Colleges, applicants must read the eligibility criteria and guidelines provided by the respective college or institute.

The majority of institutes provide online applications, making the process very simple for applicants.

B.Tech Artificial Intelligence Career Path

Those interested in pursuing a B. Tech in Artificial Intelligence have a wide selection of options available to them. Some of the popular job profiles in B. Tech Artificial Intelligence are mentioned below.

Data Analyst

Data Scientist

Data Engineer

Machine Learning Engineer

Artificial Intelligence Engineer

Machine Learning Architect

Why Should I Pursue B. Tech AI from KCC ITM?

KCC Institute of Technology and Management is a private institution for Technical education based in Greater Noida offering B. Tech courses in a range of Engineering disciplines via direct admissions, management quota and entrance exams. Ranked among top B. Tech Computer Science Colleges in Delhi NCR, this institution excels in offering best quality education at the most affordable prices.  Spread across 40 acres, the institute has modern infrastructure, skilled faculties, hostel accommodations, transportation facility and provide internships, placements, and scholarships to help students excel in their career.

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Virtual Staging - Few Things You Must Know

In the present scenario, it is very important to ensure that you succeed in appealing to your buyers by presenting your house in the best way. We need to thank the modern technology which offered us the way to present the home in a great way for sale without any changes. Yes, we are talking about virtual staging.

What is virtual staging? How is it different from traditional home stagging?

In a traditional home staging, experts include and arrange furniture, wall art, and other decor pieces in room interiors to deliver the best look. You can call it an effort to attract buyers to make a marketing offer. It's like making the home ready to look stunning in the listing photos and online house tours.

On the other hand, Virtual staging is a process where stagers first click digital photos of the rooms. In the next stage, they use photo editing software as well as tech platforms to make digital addition of gorgeous furniture and décor accessories. This way can turn an empty vacant room look artfully staged.

Role of visual staging in the real estate industry

Many have heard about traditional home staging. This process is time-taken, and it involves huge costs. Hence most of the time, it may not fit your budget. In this situation, depending on virtual staging will be the best option. It offers the same benefits and sometimes better than traditional home staging at a minimum cost. This arrangement is widely accepted to make an empty house attractive visually. This mechanism is a great way to add more value to the vacant home and makes it easy for the buyers to understand how the home will look once it gets furnished. So, here you can take a look at the benefits that you can obtain from these visual arrangements.

• This arrangement makes it easy for the buyers to comprehend what can be there inside the home. Real estate dealers will visualize how these empty rooms will look after they shift here.

• Expert stagers will design the empty or badly arranged home in any style as per your choice. In the case of home staging, there were certain restrictions to interior furnishing, but the limit is extended for visual presentation. The unlimited décor ideas can give the empty home an excellent appearance. The designers always remain updated with unlimited design styles. It is also a good option where you are aware of the preferences of your buyer.

• Opting for visual presentation of a home is always a good choice for saving time and budget. This process is cost-effective and offers an excellent presentation of empty rooms at the most affordable cost. This staging process can also be done in the middle of the renovation process of the house.

Apart from those above benefits, this process has some limitations too. This process can be used to mislead buyers. With the help of visual staging, the decoration of the house will be shown exaggeratedly, and this can make the buyers fool. If you want to give an honest picture of the property and how it will look if decorated properly choose virtual staging. Prologics is one of the best companies offering virtual staging services.

Prologics Bangalore India; leading Photo & Image Editing Company offers 2D/3D floor plans, Photo Restoration, Photo & Image Manipulation, Enhancement & Alteration, Photo/Image Clipping, Portrait Retouching, Virtual Staging Services at affordable price.