Meet with team smartData

Calendar April 17 - 21, 2023
location Chicago, IL

Machine learning is a subset of artificial intelligence, is a science of getting computers to act without being explicitly programmed. The global machine learning market is expected to grow from $7.3 billion in 2020 to $30.68 billion in 2024, which is CAGR of 43%.

It is based on the idea that machines can learn from the past information, identify patterns and make decisions using algorithms. There are three types of machine learning algorithms that are supervised learning, un-supervised learning and reinforcement learning.

We at smartData have professionals equipped with supervised learning capabilities to work with classification and regression problems. This includes speech recognition, drugs classification, biometric identification, image classification, face detection, sentiment analysis, classifying articles, medical data classifications, real-time predictions, etc. We are proficient in tools and libraries like TensorFlow, PyTorch, scikit-learn, regression models, classifier models, SVC, SVM, YOLO, Keras, etc.

Connect with us to know more about how we can transform your business through machine learning!

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Recent Portfolio Projects

Business Intelligence and Audience Engagement Software

This application provide statistical analysis services to art marketers (venues). It provides customer information in the form of reports to make intelligent decisions that will save money and time. It helps the arts and entertainment industry understand, develop and engage their audiences in a more sustainable and powerful way. A campaigning tool is also provided for marketing purpose.

Business Intelligence and Audience Engagement Software

DND homecare EVV - Mobile

Homecare mobile app for caregivers to offers electronic visit verification and care plan adherence tracking and reporting through a variety of documentation methods. The majority of compliance tracking happens through telephony, but mobile reporting is a growing report method as the CURES ACT mandates that the location of the services has to be verified.  This project is primarily to build/update an app [...]

DND homecare EVV - Mobile

PAYROLL & HR SYSTEM

Workforce management and employee engagement through the development of a cutting-edge Employee Mobile Application, aimed at streamlining administrative tasks, enhancing employee productivity, and fostering seamless communication. A centralized platform that empowers both employees and managers to efficiently manage attendance, leaves, and schedules while ensuring compliance with local regulations. By delivering real-time data accessibility, multilingual support, and offline functionality, our MVP will significantly reduce administrative costs, optimize payroll processes, and [...]

PAYROLL & HR SYSTEM

Glowing Health

We crafted a brand that exudes beauty. From gorgeous photography that elevates each special health ingredient to custom product labels that celebrate. Glowing Health is a company that strives to provide the most effective natural ingredients to lighten, brighten, remove acne, stretchmark’s, wrinkles and even out the skin. Santeva products contain no hydroquinone, steroids, mercury, or parables. 

Glowing Health

Accounting System for Residential Care Homes

A SaaS-based solution that provides financial advisory for registered assisted living facilities. The platform comes with a number of tools to manage projects, operating expenses, income, cash flow, budget, etc. Businesses can add information related to their projects like licensed beds, food costs, inflation rates, monthly beds for 120 months. Based on these details businesses can generate financial reports, P&L [...]

Accounting System for Residential Care Homes

Image comparison using CV

Developed an algorithm for a tile manufacturing company that can analyze photographs of tile's surface to determine the smoothness. Various images were given as the data set for the development of an algorithm to find the roughness of the surface of the product. The algorithm is fed with two images namely reference image and distorted image and after comparing as [...]

Image comparison using CV
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