Innovative Research

SMART DEVICE TECHNOLOGIES

Smart devices are emerging technologies that are in high demand across various industries and households due to their ability to enhance efficiency, convenience, and connectivity.

Our Smart team is working on:

  • Smart Home, Office
  • Smart Hotels
  • Smart Appliances
  • Smart Healthcare Devices
  • Smart Vehicles
  • Smart Restaurants
  • Smart Logistics
  • Smart Education
  • Smart Agricultures
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INTERNET OF THINGS (IOT)

To enable smart devices to work and operate smoothly, the Internet of Things (IoT) is crucial for data processing. These devices, often embedded with sensors, software, and other technologies, collect and share data to provide valuable insights and automate processes.

Our IoT team is working on:

  • Understand the Basics of IoT
  • Identify Use Cases
  • Choose the Right Sensor Hardware
  • Data Management and Processing
  • And Develop Software
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ARTIFICIAL INTELLIGENCE (AI)

We research on AI which is the simulation of human intelligence in machines designed to think and act like humans. This broad field encompasses various technologies and methodologies aimed at creating systems that can perform tasks requiring human intelligence.

Our AI team is working on:

  • Machine Learning (ML)
  • Deep Learning
  • Natural Language Processing (NLP)
  • Robotics
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NATURAL LANGUAGE PROCESSING (NLP)

We focuses on the interaction between computers and humans through natural language. The ultimate objective of NLP is to enable computers to understand, interpret, and generate human language in a way that is both meaningful and useful.

NLP continues to evolve, with advancements in machine learning and deep learning techniques driving significant improvements in the accuracy and capabilities of NLP systems.

Our NLP team is working on:

  • Text-to-Speech and Speech-to-Text
  • Chatbots and Virtual Assistants
  • Text Classification
  • Machine Translation
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DATA SCIENCE

Data science is the foundational element of various business models and innovations. Through our collaborative efforts with industrial partners, we enhance and refine models to enable data-driven decision-making processes and combat fraud. This synergy allows us to leverage data effectively, transforming raw information into valuable insights that drive business success.

Our Data Science team is working on:

  • Data Engineering
  • Data Analysis and Visualization
  • Data Modeling
  • Big Data Analytics
  • Data-Driven Decision Making
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