Virtuosity

Our expertise in Divergent Sectors

Various Applications in Different Sectors

Stock Price Prediction with RNN Recurrent Neural Network

Predicting Stock Price of a company is one of the difficult task in Machine Learning/Artificial Intelligence.

This is difficult due to its non-linear and complex patterns. There are many factors such as historic prices, news and market sentiments effect stock price. Major effect is due to historic prices, previous one or many days stock price effects today’s price, hence this is a time series problem. We have chosen Deep Neural Network (RNN) approach to solve this time series (forecasting) problem as it can handle huge volume of data while training the model (when compared with normal Machine Learning models) and the model can be made as complies as possible.

Quality Inspection - Corrosion, Crack, Welding Defect Detection

Advanced robotics is meant to develop autonomous and intelligent systems that could reduce the intervention of human workers in many of the crucial and repetitive tasks that represent the core business of companies.

Augmented and virtual reality can give operators more information about their tasks and help them to alleviate mental stress during some jobs. Additive manufacturing can speed up the production process.

Automatic Number Plate Recognition

Automatic number-plate recognition(ANPR) is a technology that uses optical character recognition on images to read vehicle registration plates.

Vehicle Count and Speed Report

Intelligent vehicle detection and counting are becoming increasingly important in the field of highway management. However, due to the different sizes of vehicles, their detection remains a challenge that directly affects the accuracy of vehicle counts.

Healthcare Applications

AI is reinventing — and reinvigorating — modern healthcare through machines that can predict, comprehend, learn and act.

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