Artificial Intelligence Focus On

Machine Learning

Big Data

Natural Language Processing

Data Science

Blockchain

ROBOTS ENABLE THE AUTOMATION OF REPETITIVE RULE BASED PROCESSES

Data Analytics

Computer Vision

ROBOTS WORK ACROSS FUNCTIONS AND APPLICATIONS

Indsutries/ Use Cases

Helping Enterprises develop Cloud Native and AI-First Capabilities.

Enterprise Technology

Healthcare

Banking and Finance Sector

Education

Transportation

Retail

Media

Insurance

Manufacturing

Consumer Technology

Travel

Oil and Gas

Artificial Intelligence Services, Solutions and Strategy Consulting

Building An AI-First Organization

AI-Driven Transformation roadmap requires Businesses to Strategize for Scale, incorporate ethical AI principles, and develop a robust infrastructure.

How Artificial Intelligence Can Help a Business

Why Zeal IT For Artificial Intelligence Services?

CUTTING EDGE TECHNOLOGIES

We are focusing on transformative technologies like computer vision and predictive analysis using machine learning that will create the next quantum gain in customer experience and unit economics of businesses.

Applications of Computer vision are face detection, object detection, and tracking, object recognition. For Computer vision, we use tools like OpenCV, Dlib, and Convolutional Neural Networks.

OpenCV (Open Source Computer Vision Library) and Dlib are open source computer vision and machine learning software library, which was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.

Convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks, most commonly applied to analyzing visual imagery. CNNs, like neural networks, are made up of neurons with learnable weights and biases.

Other Machine learning frameworks used are Scikit-learn, Tensorflow, and Keras.

Scikit-learn provides a range of supervised and unsupervised learning algorithms via a consistent interface in Python. This stack includes:

  • NumPy: Base n-dimensional array package
  • SciPy: Fundamental library for scientific computing
  • Matplotlib: Comprehensive 2D/3D plotting
  • IPython: Enhanced interactive console
  • Sympy: Symbolic mathematics
  • Pandas: Data structures and analysis
  • TensorFlow™ is an open source software library for high-performance numerical computation developed by Google. It is a symbolic math library and is also used for machine learning applications such as neural networks.

Keras is a high-level neural network API, written in Python and capable of running on top of TensorFlow. Keras allows easy and fast prototyping (through user friendliness, modularity, and extensibility). It supports both convolutional networks and recurrent networks, as well as combinations of the two and runs seamlessly on CPU and GPU.

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