BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260604T111538Z UID:dRYRCQ DTSTART:20241001T180000 DTEND:20241001T203000 CLASS:PUBLIC CREATED:20240920T175159 DESCRIPTION: Welcome to our annual Student Showcase where postgrad students from RGU and University of Aberdeen showcase their projects from their Da ta Science and other Masters degrees. \n\n We should have around 6 student s each talking for 10 minutes on their project from 6.30 pm. Networking wi th pizza and drinks start at 6pm. \n\n The talks in no particular order ar e: \n\n 1. Developing a Multilingual Legal Advisory Chatbot (MLAC) Using R etrieval-Augmented Generation (RAG) for Criminal Law in England\, Wales\, Scotland\, and Northern Ireland (A PROOF OF CONCEPT) - Adebowale Odufuwa \ n\n This topic explores the development of an MLAC using RAG to provide cr iminal law guidance across the UK’s jurisdictions. Leveraging large lang uage models and natural language processing\, the chatbot aims to improve accessibility\, streamline legal processes\, and deliver legal information in multiple languages. \n\n Adebowale Odufuwa is a seasoned sales and cus tomer service professional with extensive experience in the Telecoms\, Ban king\, and Manufacturing sectors. Currently transitioning into Data Analyt ics and Business Intelligence\, he is proficient in Python\, Tableau\, Pow er BI\, and SQL\, with a strong foundation in data governance and machine learning. Adebowale is currently a Data Engagement Analyst with Aberdeen C yrenians an appointment he got just halfway through his studies at RGU. Wi th over two decades of leadership experience\, he has a proven track recor d of driving significant business growth and fostering innovation across d iverse industries. \n\n 2. "School Uniforms- Upcharge and Poverty" - Hrita ban Roy \n\n How we developed a service that offers generic alternative to branded school uniforms for schools across the UK. Exorbitant upcharge on branded clothing across the UK affects economically disadvantaged househo lds. Collecting and consolidating UK data. Challenges with data collection \, scalability and natural language processing. \n\n Roy is a Bachelors st udent and a CS demonstrator at the University of Aberdeen. As an undergrad uate researcher\, he worked on a range of projects including developing a large-scale web application. His work involved using cutting-edge tools li ke NextJS\, PostgreSQL\, and Natural Language Toolkit to process vast data sets efficiently. His passion lies at the intersection of technology and d ata science\, and he is particularly interested in leveraging his skills t o solve real-world problems in fields like FinTech and computational model ling. \n\n \n3. Solar Potential of a Building using Detectron2. - Suman D eb \n\n This was a Computer Vision -based project to estimate the amount o f energy a household can generate by installing solar panels. \n\n Suman i s a Software developer with a Master's in AI from University of Aberdeen a nd 5 years of experience in designing\, building\, and deploying ML models and algorithms\, as well as automating processes using RPA. His experienc e includes extensive data-prepossessing\, organizing large datasets\, algo rithm selection\, model training\, hyper-parameter tuning\, and collaborat ing with cross-functional teams to integrate AI/ML solutions into applicat ions. \n\n 4. Seeing Beneath the Surface - Applying Computer Vision in Sub sea Decommissioning - Jared Scott\nThe global increase in oil and gas deco mmissioning projects has highlighted the real shortfalls of past data reco rding at the time of installation. This project explored applying computer vision to identify unrecorded infrastructure and minimise the quantity of manual effort required to support decommissioning projects. \n\n Jared st udied BSc (Hons) Cyber Security at RGU and part of this course was ML for Cyber Security which got him really interested in the data warehousing and the ML aspect of cyber security\, which led to his undertaking an MSc in Data Science. During his studies\, he completed summer placements as a cyb er security training programme coordinator and is now working as a Graduat e Cyber Security Analyst. \n\n 5. Currency Fluctuations and International Postgraduate Student Enrolment in Scottish Universities - Ugochi Ugbomeh \ n\n This study uses data analysis and machine learning to explore how chan ges in currency exchange rates affect the number of international students enrolling in postgraduate programs at Scottish universities. The goal is to help universities understand these trends and improve their recruitment strategies. The inspiration for the study stemmed from a significant post graduate dropout rate in Ugochi's cohort\, which prompted her to investiga te the impact of currency markets on enrolment. \n\n Ugochi holds an MSc i n Information Technology from the University of Glasgow (2011) and an MSc in Data Science from Robert Gordon University (2024)\, where she focused o n the impact of currency fluctuations on international student enrolment. Her data science interest developed while working as a Junior Resource Pla nner &\; Real Time Analyst\, where she managed data and created real-ti me performance dashboards. She is currently a Business Intelligence &\; Operations Lead\, developing custom ERP systems that incorporate machine learning and data analytics. \n\n 6. Applying Computer Vision in Space res earch - Riddhi Nilesh Gujarathi \n\n Applying computer vision in space res earch using YOLO (You Only Look Once) involves leveraging its real-time ob ject detection capabilities to analyze images and videos from space missio ns. YOLO can be used to: Satellite Image Analysis: YOLO can detect and cla ssify objects like spacecraft\, debris\, and celestial bodies in satellite images\, helping with space object identification and debris tracking. \n \n Riddhi recently graduated with a degree in Artificial Intelligence and Data Science and has experience working on various projects related to mac hine learning. She is also actively involved in communities like Microsoft Learn Student Ambassadors and Women Techmakers\, where she contributes to technology education and mentorship.\nShe is currently at UoA pursuing MS Artificial Intelligence. \n\n ------------------------------------------- ------------------------- \n\n \nThis event is orgnanised by a charity - Code The City. We are grateful to ScotlandIS for their generous sponsorshi p of the Aberdeen Data Meet-ups from June 2023 onwards. \n\n CTC suggests a small donation to help with charity admin costs\, but if this is a barri er please just change the ticket price to what you can afford. \n\n We're now back to running physical events (with an online option via Zoom). \n\n If you select a physical ticket and it happens that we can not meet physi cally you will have to attend the Zoom session. If you choose a physical t icket and it goes ahead you will have to comply with any conditions of att endance (eg masks or social distancing) that the venue operators demand at the time. \n\n Those attending the physical space meetup should attend at 6pm for pizza and drinks. The talk will be from 6.30pm. Doors will be loc ked from 6.30pm. \n\n **If tickets are sold out please do not attend as yo u will be refused entry without a ticket. ** \n\n Our booking system is pr ovided by Tito. Their platform is integrated with payment processing by St ripe Please note that if the booking system asks for a credit card\, it me ans credit OR DEBIT card. \n LAST-MODIFIED:20251126T131419 LOCATION:ONE Tech Hub and Zoom ORGANIZER:mailto:info@codethecity.co.uk SUMMARY:Student Showcase - Aberdeen Data Meetup 01 Oct 2024 URL;VALUE=URI:https://ti.to/code-the-city/adm-oct-2024 URL;VALUE=URI:https://ti.to/code-the-city/adm-oct-2024 END:VEVENT END:VCALENDAR