Our Technology Expertise

HTML (HyperText Markup Language) is the foundational language used to create and structure content on the web. It defines the layout of a webpage using elements like headings, paragraphs, links, and images that make up a webpage.

CSS (Cascading Style Sheets) is a style sheet language used to style and layout web pages. It allows developers to apply styles such as colors, fonts, and spacing to create visually appealing and consistent designs across web pages.

JavaScript is a programming language that enables dynamic, interactive features on websites. It is essential for creating responsive interfaces, handling user inputs, and developing functionalities like animations and real-time updates.

Vue.js is a progressive JavaScript framework for building user interfaces and single-page applications. It is known for being simple to use and flexible, making it easy for developers to integrate and scale applications with ease.

Java is a robust, object-oriented programming language used for building enterprise-level applications, mobile apps, and large systems. It's known for being able to run on any device or platform, making it a popular choice for business applications and mobile apps.

PHP is a server-side scripting language used for web development. It is often combined with HTML to create dynamic and interactive web pages. PHP is widely used in content management systems like WordPress, making building and managing websites easy.

Keras is a user-friendly, high-level API for building and training deep learning models. It is designed for rapid experimentation with deep neural networks, focusing on simplicity, modularity, and extensibility.

TensorFlow is an open-source framework by Google for building and deploying machine learning models. It is flexible and can handle everything from simple neural networks to complex multi-layered architectures.

PyTorch is a popular machine learning library developed by Facebook. It is used for deep learning applications and is known for its ease of use and flexibility, making it great for both research and building real-world applications.

Scikit-learn is a Python library for machine learning. It provides easy-to-use tools for data analysis and modeling, including many algorithms for tasks like classification, regression, and clustering.

MXNet is a deep learning framework that supports multiple programming languages, including Python. It is designed for efficiency and scalability, making it suitable for both small projects and large-scale applications.

OpenCV is an open-source tool for image and video processing. It helps with tasks like object detection, face recognition, and real-time tracking. OpenCV is widely used in research and practical applications.

Darknet is an open-source framework for building and using deep learning models. It is used for object detection and classification. Darknet is known for being fast and efficient, making it great for real-time tasks.

C++ is a powerful programming language widely used for high-performance application development. It is known for its speed and efficiency, making it popular in game development, real-time simulations, and complex computations.

GAMS (General Algebraic Modeling System) is a tool for solving mathematical problems. It is used for modeling and solving linear, nonlinear, and mixed-integer optimization problems, making it ideal for applications in various industries.

Google OR-Tools is an open-source software suite for optimization. It provides tools for solving a variety of optimization problems. Google OR-Tools is known for its efficiency and ease of integration with other software.

OpenMDAO is an open-source framework for designing and optimizing complex systems. It supports complex engineering problems by allowing users to integrate various simulation tools and perform system-level optimization.

MATLAB is a programming environment used for data analysis, visualization, and engineering simulations. It offers many built-in functions and tools, making it a versatile choice for scientists, engineers, and researchers.

Python NLTK (Natural Language Toolkit) is a library for working with human language data. It offers tools for tasks like classifying, tokenizing, stemming, tagging, and parsing text. NLTK is widely used in teaching, research, and practical NLP projects.

Google Speech API is a cloud service that turns audio into text using advanced models. It supports over 120 languages, enabling real-time speech recognition and accurate transcriptions for voice-controlled apps and transcription services.

AllenNLP is a library for building natural language processing models. It provides easy-to-use resources for tasks like reading comprehension and sentiment analysis. Built on PyTorch, AllenNLP helps speed up the development and testing of NLP models.