Contextere Advanced Virtual Assistant

Project Description:

contextere is transforming the future of work using AI to deliver actionable intelligence to the last tactical mile, empowering your workforce and improving asset performance. Our products and services enable our customers to navigate the fourth industrial revolution, and global skills gap successfully.

The Contextere AVA is an ML question-answering recommendation platform designed specifically for industrial technicians and operators. It uses Natural Language Processing (NLP) and neural networks to extract meaning from industrial enterprise data and determine the appropriate contextually relevant micro-guidance or insights. The AVA ‘bot app’ for Microsoft Teams enables users to ask questions and receive answers in real-time.

The Data Analytics Research Centre, a team, composed of Karim Shaloh, Research Assistant and the project lead, was formed for the sole purpose of accomplishing the client’s project brief. To manage the project’s scope, the client used an online management tool, Azure DevOps, to help alleviate stress, increase productivity and meet deadlines. Throughout the project, I learned how to communicate remotely and collaborate with an external team of developers. More importantly, I honed my python programming skills and learned Azure cloud services.

Although we faced many challenges along the way, it was an experience that deepened my knowledge regarding Machine Learning, NLP Projects, and cloud technologies. I am grateful to have worked with a fantastic client that was always understanding, supportive, patient and flexible with us.

Thank you to our client, the team from contextere, and Data Analytics Research Centre at Algonquin College for this incredible opportunity.

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