Capstone and Academic Awards for Economics & Business Administration
Apsel, Best Entrepreneurship Capstone, Joseph Dzagli ’24
Apsel is an AI-powered platform that revolutionizes social commerce in Africa by streamlining the sales process, enhancing customer reach, and building trust between online vendors and shoppers.
Analysis of Ghana’s Real Estate Market and Alternative Pathways for Affordable Housing Financing, Best Applied Project Capstone, Roland Akwei-Sekyere ’24
This research developed the Blended Housing Portfolio Model (BHP) to address Ghana’s affordable housing crisis, aiming to improve living conditions for low- and middle-income families while ensuring financial sustainability for investors.
Robotic-Advisors and Traditional Brokers in Sub-Saharan Africa, Best Thesis, Isabella Sompa Twum-Antwi
This study explored the potential of robotic advisors in Ghana’s financial sector, focusing on how trust, financial knowledge, and usability impact their adoption.
Capstone and Academic Awards for Computer Science & Information Systems
MedLink: Revolutionizing Emergency Healthcare Drug Accessibility, Best Individual Thesis, Thomas Kojo Quarshie
MedLink uses a dynamic geofencing algorithm to locate the nearest pharmacy with essential medications in stock, addressing the critical issue of delayed access to drugs in emergencies.
Leveraging AI to Passively Record Sales in Micro and Small Businesses, Best Team Thesis, Leanne Maame Mozuma Annor-Adjaye and Chudah Yakung
This project introduced an AI system that passively records transactions in corner shops, offering a novel solution for sales recording in Ghana’s informal retail sector.
Best Individual Applied Project, Enhancing Multilingual Video Accessibility for Diverse Audiences, Styve Orel Zeumo Lekane
This project focused on improving video accessibility through advanced multilingual capabilities.
Best Team Applied Project, M’ayaresa: An Improved Health Information Management System for Korle-Bu Teaching Hospital, Jochebed Afua Basil and Aaron Tsatsu Tamakloe
M’ayaresa addresses the limitations of existing health information systems at Korle-Bu, offering a robust and user-friendly solution to improve healthcare delivery.
Engineering Awards
Design of a Semi-Active damper for a comfortable ride on all road types, Technical Excellence in Mechanical Engineering, Samuel Kwasi Asiedu Awuah
This project came into being in response to the limitations of passive shock absorbers in Ghanaian road conditions, which often include bumpy and uneven surfaces. The primary goal was to design a semi-active vehicle damper that adjusts its damping characteristics in real time to provide optimal comfort on different road surfaces and to improve driver comfort and safety, as well as traffic flow.
Determination of Power Consumption of a Machine Learning Algorithm Running on a Microcontroller, Technical Excellence in Electrical Engineering, Jonathan Kashabira Baraka
This project investigated the power consumption of a machine learning (ML) algorithm running on a microcontroller unit (MCU). The work focused on the power consumption of two machine learning algorithms—support vector machines and artificial neural networks—and their implementation on KL25Z (ARM Cortex-M0+) and K64F (ARM Cortex-M4) using two standard libraries provided by ARM Cortex Microcontroller Software Interface Standard (CMSIS)—CMSIS-DSP and CMSIS-NN—and custom developed functions. The research showed that there was a significant power saving by implementing machine learning algorithms in Cortex-M4 with CMSIS libraries, while in Cortex-M0+, power efficiency was achieved through custom implementation of ML algorithms.
Creating a weather station without moving parts, Technical Excellence in Computer Engineering, Yamoah Frimpong Attafuah
The “Weather Station Without Moving Parts” develops and utilizes a remote audio data collection system and machine learning models to infer wind speed and direction from wind noise. This project overcomes challenges faced by conventional anemometers, such as mechanical wear, vulnerability to harsh weather conditions, and the need for complex signal processing circuitry.
Design of a Kente Weaving Machine, Innovative Engineering Excellence in Mechanical Engineering, Kasonde Nanyangwe
While the traditional kente loom has produced beautiful fabrics for centuries, it demands a significant amount of time and human labor. This project, with a focuse on the production of kente stoles due to their increased global popularity, presents a solution: a mechanized kente weaving loom that elemnitaes the need for the weaver to actively weave the fabcric by hand, a much more effortless process that produces consistent results.
Animal Behaviour Monitoring with Machine Learning, Innovative Engineering Excellence in Electrical Engineering, Stephen Nii Adu Tagoe & Mohammed Elmir
Pig farming is an important industry in Africa, where pork consumption has been growing rapidly. However, monitoring pig health and behavior often relies on human judgment, which can be inaccurate. To improve this, this project proposes the use of machine learning and Internet of Things (IoT) technology to automate the monitoring of pig feeding behavior in a controlled environment.
Kelpet – Design of Health Monitoring and Analysis for Pets, Innovative Engineering Excellence in Computer Engineering, Jacinta Amoawah Esi Badu
Kelpet is a comprehensive, low-cost system for pet owners to monitor their pets’ health, track their location, and receive instant notifications. The system comprises a smart pet collar as well as mobile and web applications that enable owners to find nearby veterinary hospitals and provide health tips tailored to the pet’s needs. This project aimed to make pet care technology more accessible and versatile, in light of the high cost of importing similar devices into the African market.
