Dr. Sushma Kumari S.Kumari@hull.ac.uk
Senior Lecturer and Programme Director- MSc Logistics and Supply Chain Management and Education Lead Logistics and Supply Chain Management
Dr. Sushma Kumari S.Kumari@hull.ac.uk
Senior Lecturer and Programme Director- MSc Logistics and Supply Chain Management and Education Lead Logistics and Supply Chain Management
Professor Dhaval Thakker D.Thakker@hull.ac.uk
Professor of Artificial Intelligence(AI) and Internet of Things(IoT)
In 2022, 1.1 million visas granted for people to come and live in the UK. Standard Occupational Classification (SOC) codes are four-digit numbers used to classify jobs in the UK. SOC code allows UK Visas and Immigration (UKVI) to understand the type of work a migrant will be doing in the UK. Failure to submit correct SOC code may result in a visa application being delayed or refused. This may also lead to a sponsor license suspension, revocation or downgrade. Selection of appropriate code require specialist knowledge, accurate self-assessment by individual solicitor who take part in review process. Usually, solicitor spend hours to look at the various definitions for the SOC occupations and determine which best matches the work being performed. One of the biggest problems is that the SOC code list is subject to change. Currently, no such system exists that match job description and can identify possible SOC occupation codes automatically. Solicitors need to check the latest version each time they issue a SOC for a migrant worker to make sure that the correct code has been selected and the correct fees has been paid. This AKT project is focused on building a machine learning enabled AI-based expert system for selecting appropriate Standard Occupational Classification code to increase efficiency and avoid issues or delays with the UK Visa application process. Proposed machine learning enabled AI-based expert system will allow A&Y to provide efficient service at lower cost. It will help them to scale its client base whilst maintaining an optimal staffing level. Proposed system will allow A&Y to convert more leads into clients through streamlining free advice using customer facing conversation agents. A&Y will also be able to look to expand its geographical operations and service clients not only in London, but also throughout the UK by more effective marketing and through franchising its service offering to other immigration service firms. AI is both a threat and opportunity to the legal sector and A&Y wants to be innovating ahead of the curve.
Status | Project Complete |
---|---|
Value | £27,000.00 |
Project Dates | Oct 1, 2022 - Jan 31, 2023 |
Partner Organisations | A Y & J Solicitors |
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QR GCRF 2019 RF: Improving efficiency and reducing waste in Indonesian beef supply chain Feb 28, 2019 - Jul 31, 2019
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Read More about QR GCRF 2019 RF: Improving efficiency and reducing waste in Indonesian beef supply chain.
Carbon mapping of an e-commerce purchase May 1, 2021 - Apr 30, 2022
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KTP - Connexin Oct 1, 2023 - Sep 30, 2025
This project works with broadband and IoT business Connexin on a novel speech-to-text platform that integrates sensor networks for assisted living into a smart speaker for adult social care.
Blockchain enabled Cloud Computing based integrated Carbon Calculator (Be4C) Sep 1, 2022 - Dec 31, 2023
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