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Felhasználó avatár
$20 USD / óra
INDIA zászlója
burhanpur, india
$20 USD / óra
Itt jelenleg ennyi az idő: 8:11 du.
Ekkor csatlakozott: november 10, 2017
30 ajánlás

PVSYS GROUP

@pvsysgroupinc

monthly-level-four.svg
verified.svg
 4,7 (103 értékelés)
7,8
7,8
96%
96%
$20 USD / óra
INDIA zászlója
burhanpur, india
$20 USD / óra
96%
Teljesített megbízások
92%
Költségvetésen belül
92%
Határidőn belül
24%
Ismételt megbízási arány

Fast Designer Developer | TOP 1% | Verified FL

Are You Tired with Freelancers by Not Doing Work on Time?? Are You Tired with Excuses?? Do You Need Work on Time with Honesty?? Any Time Come to Us 100 % Completion Rate. WHAT WE ARE OFFERING: ✔ Website Design & Development in Bootstrap: Node js (Framework: Express js, Vue js, React, Vuetify) ✔ Website Design & Development in Bootstrap: PHP (Framework: CodeIgniter, Laravel, Custom PHP) ✔ CMS: WordPress, Magento, Joomla, OpenCart, Drupal etc. ✔ OS & Android Application Development (Native & React Native apps) ✔ SEO: ONPAGE, OFFPAGE, Backlinks, AdWords ✔ Front End: React.js, Node.js, Vue.js, Angular.js, Next.js ✔ Blockchain/Crypto: Web3, Hyperledger Fabric, Ganache, Truffle, Solidity, Ethereum, Polygon ✔ Artificial Intelligence (AI)/Machine Learning (ML)/Data science ✔ Python, Pandas, NumPy, NLP (Natural Language) ✔ Pytorch, Keras, TensorFlow, OpenAI WHY YOU CAN TRUST: * 10+ years of expertise in the industry * Most Trustable and Honest * Feedback History and Rating till now * Project completion is 100% guarantee. * 100% on time project delivery. * 100% customer satisfaction. * Easy Milestone Payment terms & no upfront release necessary * Good 24/7 communication availability THANKS PVSYS GROUP
Freelancer Codeigniter Developers India
Az összes Codeigniter Developers mutatása itt: India

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Portfólió

11072584
DAOs, or Decentralized Autonomous Organizations, play a crucial role in decarbonizing emissions. By leveraging blockchain technology, DAOs create decentralized platforms for coordinating and incentivizing climate initiatives. Through smart contracts and decentralized governance, DAOs enable transparent decision-making processes. They facilitate the coordination of projects focused on renewable energy, carbon offsetting, and sustainable transportation. Stakeholders can contribute resources and expertise, and DAOs allocate funds and rewards based on impact. With their global reach and community engagement, DAOs foster collaboration and innovation in emissions reduction. They empower individuals and communities to actively participate in the fight against climate change. With their decentralized nature and ability to engage a global community, DAOs have the potential to foster collaboration, knowledge sharing, and innovation in the pursuit of decarbonization goals.
DAO : Decarb carbon Emissions
11072570
The NFT marketplace is a digital platform where artists can sell, buy, and auction their artwork. It leverages blockchain technology to tokenize digital creations, providing proof of ownership and authenticity. Artists can list their work, enabling collectors to browse and purchase unique digital art. The marketplace offers secure transactions and the option for auctions, driving value and exclusivity. Buyers can own one-of-a-kind digital pieces, recorded on the blockchain for transparency. The NFT marketplace fosters a community of artists and collectors, connecting them globally and revolutionizing the art industry by empowering artists and providing a decentralized platform for digital art transactions.
NFT Market place
The NFT marketplace is a digital platform where artists can sell, buy, and auction their artwork. It leverages blockchain technology to tokenize digital creations, providing proof of ownership and authenticity. Artists can list their work, enabling collectors to browse and purchase unique digital art. The marketplace offers secure transactions and the option for auctions, driving value and exclusivity. Buyers can own one-of-a-kind digital pieces, recorded on the blockchain for transparency. The NFT marketplace fosters a community of artists and collectors, connecting them globally and revolutionizing the art industry by empowering artists and providing a decentralized platform for digital art transactions.
NFT Market place
11072553
The IDO (Initial DEX Offering) project is an innovative application of blockchain technology, utilizing smart contracts written in Solidity and implemented using React and Node.js. The project aims to provide a decentralized platform for token sales and fundraising events. Through the use of blockchain, IDO offers transparency, security, and immutability to the token issuance process. Smart contracts play a crucial role in ensuring the fairness and integrity of the IDO platform. They define the rules and conditions for token sales, including token distribution, pricing mechanisms, and contribution limits. Solidity, a programming language specific to Ethereum, is utilized to write these smart contracts. It allows for the implementation of complex business logic and the integration of various features such as vesting schedules, token locks, and governance mechanisms. The project is built on the Iotex blockchain network.
Iotexpad IDO : Initial DEX Offering
11072544
The project focuses on utilizing image processing techniques to analyze and extract valuable information from digital biopsy images of meningioma brain tumors. Meningioma is a common type of brain tumor that arises from the meninges, the protective layers surrounding the brain. The implemented models in the "Digital Histopathology" project can greatly assist medical professionals in identifying tumors. By leveraging machine learning boosting algorithms and deep learning CNN algorithms, the models can analyze and interpret biopsy images of meningioma brain tumors with high accuracy. This helps in automating the tumor detection process and providing consistent and reliable results. The models can assist doctors by highlighting potential tumor regions and providing additional insights for diagnosis and treatment planning. Ultimately, these advanced models contribute to more efficient and accurate tumor identification, enabling medical professionals to make informed decisions.
"Digital Histopathology: Image Processing of Meningioma"
The project focuses on utilizing image processing techniques to analyze and extract valuable information from digital biopsy images of meningioma brain tumors. Meningioma is a common type of brain tumor that arises from the meninges, the protective layers surrounding the brain. The implemented models in the "Digital Histopathology" project can greatly assist medical professionals in identifying tumors. By leveraging machine learning boosting algorithms and deep learning CNN algorithms, the models can analyze and interpret biopsy images of meningioma brain tumors with high accuracy. This helps in automating the tumor detection process and providing consistent and reliable results. The models can assist doctors by highlighting potential tumor regions and providing additional insights for diagnosis and treatment planning. Ultimately, these advanced models contribute to more efficient and accurate tumor identification, enabling medical professionals to make informed decisions.
"Digital Histopathology: Image Processing of Meningioma"
The project focuses on utilizing image processing techniques to analyze and extract valuable information from digital biopsy images of meningioma brain tumors. Meningioma is a common type of brain tumor that arises from the meninges, the protective layers surrounding the brain. The implemented models in the "Digital Histopathology" project can greatly assist medical professionals in identifying tumors. By leveraging machine learning boosting algorithms and deep learning CNN algorithms, the models can analyze and interpret biopsy images of meningioma brain tumors with high accuracy. This helps in automating the tumor detection process and providing consistent and reliable results. The models can assist doctors by highlighting potential tumor regions and providing additional insights for diagnosis and treatment planning. Ultimately, these advanced models contribute to more efficient and accurate tumor identification, enabling medical professionals to make informed decisions.
"Digital Histopathology: Image Processing of Meningioma"
10420862
Food Order Management System
Food Order Management System
10420856
ERP
ERP
11072584
DAOs, or Decentralized Autonomous Organizations, play a crucial role in decarbonizing emissions. By leveraging blockchain technology, DAOs create decentralized platforms for coordinating and incentivizing climate initiatives. Through smart contracts and decentralized governance, DAOs enable transparent decision-making processes. They facilitate the coordination of projects focused on renewable energy, carbon offsetting, and sustainable transportation. Stakeholders can contribute resources and expertise, and DAOs allocate funds and rewards based on impact. With their global reach and community engagement, DAOs foster collaboration and innovation in emissions reduction. They empower individuals and communities to actively participate in the fight against climate change. With their decentralized nature and ability to engage a global community, DAOs have the potential to foster collaboration, knowledge sharing, and innovation in the pursuit of decarbonization goals.
DAO : Decarb carbon Emissions
11072570
The NFT marketplace is a digital platform where artists can sell, buy, and auction their artwork. It leverages blockchain technology to tokenize digital creations, providing proof of ownership and authenticity. Artists can list their work, enabling collectors to browse and purchase unique digital art. The marketplace offers secure transactions and the option for auctions, driving value and exclusivity. Buyers can own one-of-a-kind digital pieces, recorded on the blockchain for transparency. The NFT marketplace fosters a community of artists and collectors, connecting them globally and revolutionizing the art industry by empowering artists and providing a decentralized platform for digital art transactions.
NFT Market place
The NFT marketplace is a digital platform where artists can sell, buy, and auction their artwork. It leverages blockchain technology to tokenize digital creations, providing proof of ownership and authenticity. Artists can list their work, enabling collectors to browse and purchase unique digital art. The marketplace offers secure transactions and the option for auctions, driving value and exclusivity. Buyers can own one-of-a-kind digital pieces, recorded on the blockchain for transparency. The NFT marketplace fosters a community of artists and collectors, connecting them globally and revolutionizing the art industry by empowering artists and providing a decentralized platform for digital art transactions.
NFT Market place
11072553
The IDO (Initial DEX Offering) project is an innovative application of blockchain technology, utilizing smart contracts written in Solidity and implemented using React and Node.js. The project aims to provide a decentralized platform for token sales and fundraising events. Through the use of blockchain, IDO offers transparency, security, and immutability to the token issuance process. Smart contracts play a crucial role in ensuring the fairness and integrity of the IDO platform. They define the rules and conditions for token sales, including token distribution, pricing mechanisms, and contribution limits. Solidity, a programming language specific to Ethereum, is utilized to write these smart contracts. It allows for the implementation of complex business logic and the integration of various features such as vesting schedules, token locks, and governance mechanisms. The project is built on the Iotex blockchain network.
Iotexpad IDO : Initial DEX Offering
11072544
The project focuses on utilizing image processing techniques to analyze and extract valuable information from digital biopsy images of meningioma brain tumors. Meningioma is a common type of brain tumor that arises from the meninges, the protective layers surrounding the brain. The implemented models in the "Digital Histopathology" project can greatly assist medical professionals in identifying tumors. By leveraging machine learning boosting algorithms and deep learning CNN algorithms, the models can analyze and interpret biopsy images of meningioma brain tumors with high accuracy. This helps in automating the tumor detection process and providing consistent and reliable results. The models can assist doctors by highlighting potential tumor regions and providing additional insights for diagnosis and treatment planning. Ultimately, these advanced models contribute to more efficient and accurate tumor identification, enabling medical professionals to make informed decisions.
"Digital Histopathology: Image Processing of Meningioma"
The project focuses on utilizing image processing techniques to analyze and extract valuable information from digital biopsy images of meningioma brain tumors. Meningioma is a common type of brain tumor that arises from the meninges, the protective layers surrounding the brain. The implemented models in the "Digital Histopathology" project can greatly assist medical professionals in identifying tumors. By leveraging machine learning boosting algorithms and deep learning CNN algorithms, the models can analyze and interpret biopsy images of meningioma brain tumors with high accuracy. This helps in automating the tumor detection process and providing consistent and reliable results. The models can assist doctors by highlighting potential tumor regions and providing additional insights for diagnosis and treatment planning. Ultimately, these advanced models contribute to more efficient and accurate tumor identification, enabling medical professionals to make informed decisions.
"Digital Histopathology: Image Processing of Meningioma"
The project focuses on utilizing image processing techniques to analyze and extract valuable information from digital biopsy images of meningioma brain tumors. Meningioma is a common type of brain tumor that arises from the meninges, the protective layers surrounding the brain. The implemented models in the "Digital Histopathology" project can greatly assist medical professionals in identifying tumors. By leveraging machine learning boosting algorithms and deep learning CNN algorithms, the models can analyze and interpret biopsy images of meningioma brain tumors with high accuracy. This helps in automating the tumor detection process and providing consistent and reliable results. The models can assist doctors by highlighting potential tumor regions and providing additional insights for diagnosis and treatment planning. Ultimately, these advanced models contribute to more efficient and accurate tumor identification, enabling medical professionals to make informed decisions.
"Digital Histopathology: Image Processing of Meningioma"
10420862
Food Order Management System
Food Order Management System
10420856
ERP
ERP

Értékelések

Változtatások elmentve
1 - 5 / 50+ értékelés látható
Vélemények szűrése ez alapján:
5,0
$1 370,00 USD
To set up an already installed eCommerce affiliate software for a digital product e-Book
The PVSYS GROUP have an amazing team and they know exactly what they were doing from the start of the project. They understood everything and were very quick to fixed all my problems. I will recommend their services to everyone because of their professionalism and hard working and quality work. Well done and thank you for everything
PHP
JavaScript
Software Architecture
MySQL
Web Hosting
K
zászlója Koku T.
@koku1
•
6 hónappal ezelőtt
5,0
$300,00 USD
Website redesigned
5 stars across the board for this one. I have had a hard time finding any good freelancers on this site until now. This is my first truly outstanding experience on this website. I am very pleased and greatful for the extremely fast work they did. They followed every thing I asked for perfectly!!!
PHP
Website Design
Graphic Design
User Interface / IA
HTML
Felhasználó avatár
zászlója Brent B.
@MrHoff35
•
8 hónappal ezelőtt
5,0
$600,00 USD
Build a support and live chat platform
PVSYS GROUP have taken our business to the next level. Their professional solutions continue to impress us and their knowledge has catapulted our sales. They have created many websites for our companies; all with excellent results. I will sure use them for all my upcoming projects and recommend them !!
PHP
Website Design
Codeigniter
Laravel
React.js
W
zászlója John T.
@websign25
•
8 hónappal ezelőtt
5,0
₹10 000,00 INR
Need a website designer to Redesign our website
Good work and good communications
PHP
Website Design
Graphic Design
CSS
HTML
Felhasználó avatár
zászlója Rajashekar R.
@Rajashekar507
•
8 hónappal ezelőtt
5,0
$125,00 USD
Migrate server task
Another excellent work done by the PVSYS Group. I have been using their service for a long time now and i have no regrets, one amazing thing about them is the speed at which they deliver results, when other freelancers tell you it will take 3 months, try Sushant and his team, it will take a few weeks for them. They do not compromise quality and their prices are always reasonable. I recommend them again.
PHP
WordPress
Codeigniter
Laravel
React.js
W
zászlója John T.
@websign25
•
9 hónappal ezelőtt

Tapasztalat

Marketing Head and Associate Partner

PVSYS GROUP
máj. 2013 - Jelenleg
We Had Great Working Environment in the company also we are working for them last so much time

Tanulmányok

BE Computer ( Gold Medalist )

Rajiv Gandhi Prodyogiki Vishwavidyalaya, India 2005 – 2009
(4 év)

Végzettségek

JAVA Certified Developer

ISDRC
2012
Core Java and Advance Java Certification

C C+++

Blue Chip Ltd
2011
professional Certification for C , C++ , PHP , HTML and CSS as well

IOS and Android

JMS
2010
A+++ certification for ios and android programming

Publikációk

Poor People

By CTO Trust
We Made This For One Orrisa Based NGO And Help Poor And Needed People

Keresse PVSYS GROUP felhasználót a munkájával kapcsolatban

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Képesítések

php_1.png PHP 1 100%
android_1.png Android Development 1 100%
mysql-1.png MySQL 1 97%
html_1.png HTML 1 95%
php_2.png PHP 2 95%

Kiemelt készségek

Codeigniter 63
Website Design 60
HTML 49
MySQL 41
Laravel 20

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