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LinkMe® Tech: using number plates as means of contact [Patented!]

Linkup

Linkup

Linkup

Open LinkMe App and Enter Your Number Plate(s)

Lookup

Linkup

Linkup

Open LinkMe App and Scan Number Plates

cars, TRUCKS, COMMERCIAL VEHICLES, ...

send & receive

send & receive

send & receive

Quick Alerts & Notifications

Buy & sell

send & receive

send & receive

Sedans, SUVs, Trucks, etc.

promote & advertise

Connect & Make Friends

Connect & Make Friends

Products & Services

Connect & Make Friends

Connect & Make Friends

Connect & Make Friends

Lookup Cars and Make Friends!


PROMOTE

PROMOTE

PROMOTE

Sales & Special Events

ENGAGE

PROMOTE

PROMOTE

With Customers Day & Night!

RELATE

PROMOTE

RELATE

By Offering Exclusive Deals

SUPPORT LinkMe tech

LinkMe Technologies is an Eligible Business Corporation (EBC). BC residents receive a 30% tax credit when they invest in an EBC. For more information please visit Eligible Business Corporation (EBC). 

For more information please contact us at: info@linkme.io

The tech stack of LinkMe softwares is based on JavaScript language. Services are developed by Node.Js which is a light, scalable, and cross-platform way to execute code. It makes our services efficient and scalable. Meteor.Js is the platform for exposing our services to the front-end. Building javascript applications by Meteor.Js makes communication between front-end and back-end simple and efficient.

For developing user interfaces, we use React.Js as a JavaScript library that is used specifically for single-page applications. Components in React have their own internal logic and their rendering work independently. These features help us to create fast and reliable pages.


MongoDB is the database that stores the data of the system. It enables us to scale applications efficiently, handle different data types, and manage applications easily. We use Document Data Model that is a great way to store and retrieve variable data that we have for different contents.

AWS cloud computing services are reliable and scalable resources that we use in different areas.


AWS S3 is our object store in order to persist files of the system on a distributed file system.Our web application servers (meteor instances) and database (MongoDB instance) are hosted on AWS EC2 machines. It provides us with complete control of our machines and we are able to run on Amazon computing environment. It provides secure, resizable compute capacity in the cloud.

We use AWS ELB to provide scalability and fault tolerance by automatically distribute incoming application traffic over the multiple application server instances. It also scales resources to provide traffic requirements.


AWS CloudFront as our content delivery network provider is utilized to speed up the delivery of our contents. It securely delivers data to customers globally with high speeds and low latency.


For detecting malicious files we use ClamAV antivirus engine by utilizing it on the AWS Lambda platform. ClamAV is an open-source antivirus engine for detecting trojans, viruses, malware & other malicious threats.


Google Cloud Vision is the OCR service that we use to extract data from the uploaded images. It’s a powerful pre-trained machine learning model that provides high accuracy. Amazon Rekognition also helps us to identify car plates from images and label them.


AWS CodeDeploy is our deployment tool that automates our deployments to our EC2 instances. It helps us to rapidly release new features and avoid downtime during application deployment.

GitHub is the repository of our source code. It hosts our source code projects and keeps track of all changes we made to them.


Whether you are a recent graduate, an undergrad student or a senior software engineer you are welcome to join the project at various capacities. 


Our software development and R&D activities include the following areas:

  • Controlling and managing access server applications
  • Transmission of processed information to recipient devices and automated data transmission and warehousing​
  • Business management services relating to information and data compiling and analyzing
  • Statistical evaluation of data from market studies, market research data, and marketing data
  • Cloud computing provider services for general storage of data
  • Conversion of data or documents from physical to electronic media
  • Data encryption, decoding, and migration services
  • Development and creation of computer programmes for data processing.


Ideal candidates will have hands on experience in one of the following areas:

  • Data structures, algorithms, and software design
  • Analytical and debugging skills
  • NoSQL databases and core internet protocols
  • Experience with JavaScript, Node.JS, Meteor.JS, React.JS, and MongoDB
  • Ability to develop and deploy workloads to AWS cloud in a secure environment (AWS S3, AWS EC2 Instances, AWS CloudFront, AWS Lambda, AWS ClamAV, and AWS CodeDeploy).

CONTRIBUTE TO THE PROJECT

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LinkMe® Technologies Inc.

BC, Canada

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