ghanaopendata/ghanaian-research-english huggingface dataset:
Resaurant Management System for Kas Valley Restaurant

In response to the recent advancement in technology and its tremendous impact, many businesses have integrated technological tools into their business operations. The food industry is no exception. In the global food industry, technology has made it possible to improve food services, increase customer satisfaction and maximize business returns. There have been changes such as the shift from conventional paper ordering at restaurants to online pre-ordering of meals through the internet. Developments in restaurant software and POS technologies have also aided restaurants in providing better services to their customers. However, the Ghanaian food industry has not taken full advantage of the emerging technologies to optimize its operations. The few restaurants that have adopted restaurant software have their applications limited to POS transactions or strictly online food ordering systems. The applications do not include some core aspects of restaurant operations, such as table reservation management, customer data management, and e-commerce integration. The lack of a centralized system to handle all these related aspects of the restaurant’s operations leads to data inconsistency and redundancy issues. It also makes it difficult for management to analyze their business data because it is not stored in one location but scattered across different units. All these affect the restaurant’s efficiency and profitability levels in the long run. In an attempt to enhance the efficiency of restaurant businesses in Ghana, this paper proposes a web-based restaurant management system for Kas Valley Restaurant, located in the Oyibi township of Accra, Ghana. The system will enable the restaurant to receive orders and payments online, process in-person orders, manage table reservations and customer data, and view analytics on their sales. All these functionalities on a single application would ensure data integrity, minimize data redundancy, foster industry innovation, and significantly improve the restaurant’s overall efficiency. Additionally, using such software in a restaurant contributes to the Sustainable Development Goal (SDG) 9: “Build resilient infrastructure, promote sustainable industrialization and foster innovation”. In this regard, the restaurant management system will enhance technological innovation in the restaurant industry, hence increasing productivity levels.

Source: Ashesi
Residential care management systems

The integration of digital technology into business operations, known as digital transformation, has significantly enhanced efficiency across various industries. This project addresses the need for a centralised records management system in the Residential Childcare sector in Ghana, which faces challenges due to outdated manual record-keeping systems. The main objective of this project was to develop a web-based application, Haven Records Management System, to centralise and streamline record management in these institutions. Utilising the Three-Tier Architecture framework and Model-View-Controller (MVC) design pattern, the system's key functionalities include managing children's records, staff information and legal documents. The system's implementation demonstrated improved efficiency and accountability, aligning with Sustainable Development Goal 16: Peace, Justice, and Strong Institutions. However, limitations such as internet dependency and platform restrictions were identified. Future enhancements, including mobile adaptation and third-party integrations, are recommended to address these challenges and further improve the system's usability and impact.

Source: Ashesi
Restaurant management system for Kas Valley Restaurant

In response to the recent advancement in technology and its tremendous impact, many businesses have integrated technological tools into their business operations. The food industry is no exception. In the global food industry, technology has made it possible to improve food services, increase customer satisfaction and maximize business returns. There have been changes such as the shift from conventional paper ordering at restaurants to online pre-ordering of meals through the internet. Developments in restaurant software and POS technologies have also aided restaurants in providing better services to their customers. However, the Ghanaian food industry has not taken full advantage of the emerging technologies to optimize its operations. The few restaurants that have adopted restaurant software have their applications limited to POS transactions or strictly online food ordering systems. The applications do not include some core aspects of restaurant operations, such as table reservation management, customer data management, and ecommerce integration. The lack of a centralized system to handle all these related aspects of the restaurant s operations leads to data inconsistency and redundancy issues. It also makes it difficult for management to analyze their business data because it is not stored in one location but scattered across different units. All these affect the restaurant s efficiency and profitability levels in the long run. In an attempt to enhance the efficiency of restaurant businesses in Ghana, this paper proposes a web-based restaurant management system for Kas Valley Restaurant, located in the Oyibi township of Accra, Ghana. The system will enable the restaurant to receive orders and payments online, process in-person orders, manage table reservations and customer data, and view analytics on their sales. All these functionalities on a single application would ensure data integrity, minimize data redundancy, foster industry innovation, and significantly improve the restaurant s overall efficiency. Additionally, iv using such software in a restaurant contributes to the Sustainable Development Goal (SDG) 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation . In this regard, the restaurant management system will enhance technological innovation in the restaurant industry, hence increasing productivity levels.

Source: Ashesi
REVISE-ME: An e-learning system that helps Rwandan high school students to revise online by navigating through the content and assessing themselves

In 2020, covid-19 spread everywhere in the world. Covid-19 made people realize why technology is so important. Technology was the way of communication and getting all information. Schools were closed; some schools managed to move online, others were not able to do so. In Rwanda, they managed to put classes on TVs, Radios and the Rwanda Education Board platform. Students needed a more user-friendly system that can help them revise at home, assess themselves while following the Rwanda Education Board curriculum. In this paper, an e-learning system is proposed. Revise-Me is a user-friendly web application that is compatible with all smartphones. It has notes, textbooks and exercises, which are automatically graded by the system.

Source: Ashesi
Reviving Trust: Leveraging Blockchain For Secure Collateral Verification In Ghana

Rising food costs and significant edible food waste in Ghanadally significant predictors of adoption intention, with each unit increase in environmental concern associated with a 10.4% higher probability of participation, while higher-income status decreased adoption probability by 11.2%. Food service operators showed varying levels of readiness influenced by perceived economic benefits, technological capacity, and concerns about brand perception. The analysis, framed by Innovation Diffusion Theory and Theory of Planned Behavior, identifies key implementation factors including safety assurance mechanisms, appropriate pricing models, and mobile money integration. This approach is supported by empirical research demonstrating that stakeholder behavior significantly impacts business success (Priego et al., 2014; Martey et al, 2014), offering sustainable solutions to simultaneously reduce food waste and improve food affordability in urban Ghana.

Source: Ashesi
Reviving Trust: Leveraging Blockchain for Secure Collateral Verification in Ghana

Many small-scale financial institutions in Ghana face delays in processing loans, mainly due to the slow and manual verification of client collateral. These institutions often lack the technology and resources to detect fake documents and speed up the verification of collateral papers, limiting timely access to loans for individuals and small businesses. To address this issue, this research designs implements, and pilots a blockchain-based collateral management system to transform Ghana's loan processing pipeline. The goal is to help ease the process for small-scale financial institutions. After consultations, the system was developed based on different requirements presented by various stakeholders, such as financial institutions, borrowers, land registry agents, and regulatory bodies. These consultations guided the functional requirements such as the secure management of all the collateral data digitally, the automated collateral validation through smart contracts, real-time verification updates, the resolution of disputes and the non-functional requirements, which focused on the robust system security, performance efficiency, scalability, usability, and reliability. Built on a layered architecture consisting of the client layer, the application layer, the blockchain network, and the data storage layer, the system ensures modularity and scalability. At its core, the blockchain network offers decentralized data storage and smart contracts, which are used to automate collateral management verification. By reducing delays in collateral verification times, the system is expected to improve loan accessibility. Ultimately, it enhances efficiency in the Ghanaian financial sector, streamlines and secures loan processing, and fosters greater economic development by improving access to timely financing.

Source: Ashesi
Richter's Predictor: Modeling Earthquake Damage

An earthquake is a natural disaster that may cause irreversible and fatal damage. Due to its uncontrollable nature, mitigating its adverse effect in situations such as the 2015 Gorkha, Nepal earthquake event, the case studied in this paper is critical. This study implements an Enhanced Random Forest model and applies it to earthquake prediction. The enhanced model is compared to the traditional Random Forest and other multi-class classification models. Models are trained on data collected on the structural features of buildings in Gorkha before the disaster and the corresponding damage grade post-disaster. Feature selection is applied to reduce the data's dimensionality and increase efficiency. The Enhanced Random Forest model is found to be less accurate than the traditional Random Forest model (0.66 and 0.69, respectively) in the case of earthquake damage prediction. The macro f1 score is used as the metric for classification accuracy. Feature selection and Data Analysis revealed that features including that cement-mortar and mudmortar (brick or stone) superstructure materials are recommended for increased earthquake resistance.

Source: Ashesi
ROADIO: A system for automated estimation and visualization of crowdsourced road surface quality using mobile phones

Road infrastructure is crucial for economic growth as it facilitates the transportation of goods, services and people. However, poor road conditions can negatively impact the economy and hinder the timely delivery of goods and services. In Ghana, limited quality road infrastructure remains a challenge, and reliable information on road systems is needed to make informed decisions on infrastructure development. Mobile technology presents a promising opportunity to develop participatory sensing systems for collecting and processing road data. This study aims to further the development of a system for gathering, processing, and displaying data on road surface quality using crowdsourced sensory data from mobile devices in Ghana. The study seeks to create and efficient and cost-effective system that can significantly improve the state of road infrastructure in Ghana by leveraging the advancements in mobile technology and participatory sensing. We designed and implemented a three-tiered architecture software that enables large-scale detection of road surface quality through mobile phones. The system accommodates a machine learning algorithm for classifying road readings from accelerometers, and a service to address the problem of aggregating crowdsourced data which has not been effectively handled in previous research in the Ghanaian context. The classified road surface data is then visualized on a web interface that integrates a Google Maps API.

Source: Ashesi
Robotics in the Ghanaian classroom

Ghana needs more innovative thinkers and problem solvers to ensure sustainable growth for years to come. In the past, there have been revisions made to the Ghana educational curriculum to assist in development. Despite these changes, there still exists the predominant issue of rote learning occurring in the classroom. This leads to students being less independent as thinkers and problem solvers. In recent years there have been studies and papers convinced that Robotics education in the classroom could enhance a student’s critical thinking skills. This study investigates the idea of using robotics in the Ghanaian classroom to garner more critical thinkers and problem solvers. This was done by having a teacher teach a group of students using Lego Mindstorms EV3 kits. The results of the students who took part in the test were analyzed against students who did not take part in the study. The result of the study were used to offer a suggestion for institutions looking to integrate robotics lessons into their classrooms.

Source: Ashesi
Rodin Platform Why3 plug-in

We brieﬂy present the motivation, architecture and usage experience as well as proof statistics for a new Rodin Platform proof back-end based on the Why3 umbrella prover. Why3 oﬀers a simple and versatile notation as a common interface to a large number of automated provers including all the leading SMT-LIB and TPTP compliant tools. The plug-in can function either in a local mode when all the provers are installed locally, or remotely as a cloud service. We discuss the experience of building the tool, the current status and the potential advantages of a cloud-hosted proof infrastructure.

Source: Ashesi
Roomsync: Enhancing Student-Resident Assistant (Ra)communication and Duty Tracking in Ashesi Oncampus Hostels

Effective residential management remains a key challenge in higher education, particularly in fostering accountability, structured communication, and conflict resolution. At Ashesi University, reliance on manual systems and informal channels like WhatsApp has resulted in 43% of missed announcements, 61% of uncompleted cleaning duties, and 54% of recurring conflicts. Global trends show that 78% of higher education leaders in OECD countries are adopting digital platforms to improve administrative efficiency and student outcomes [1]. Case studies from Anchor University Lagos and Curtin University highlight the benefits of purpose-built systems in resolving issues like double room assignments through user- centered design [2]. This study introduces RoomSync, a mobile and web-based platform built with Flutter and Firebase using the Model-View-Controller (MVC) architecture. RoomSync features: structured communication module, an automated cleaning accountability system that boosts compliance by 40%, and a conflict resolution archive that supports predictive interventions. With real-time sync via Firebase Firestore and role-based access control, the platform reduces RA workload by 8 hours weekly and decreases unresolved complaints by 50%, offering actionable insights through an administrative dashboard.

Source: Ashesi
Ros-E: A smart building monitoring system

Through technology, buildings are no longer just containers for life. With the large amount of data that can be accessed about everything from occupancy, to ambient room conditions and energy use, buildings are becoming smarter. Smart buildings offer new solutions to the problems of smart living. Unfortunately, most buildings in Africa fail to tap into the data that is provided by the ambient conditions inside them as well as the occupants residing in them. This project provides a smart building monitoring system that keeps track of the ambient conditions inside a building by the use of an Arduino powered module connected to sensors that transfers data via Bluetooth and makes further analyses on this data to improve comfortability and usability of occupants.

Source: Ashesi
RTL design and synthesis of a RISC-V softcore

Open-source technology is an ever-expanding paradigm that has brought progress to the realm of opportunity. The world of software has long experienced the benefits of this. It has however been, relatively, in recent times that hardware started to realize the possibilities of open-source technology. RISC-V, an open ISA serves as the gateway for the world of hardware research and manufacturing to grow on open-source material. Therefore, to realize the capabilities the open ISA brings, we will have to utilize and develop it. In this project, a 32-bit RISC-V softcore is implemented with VHDL to observe and explain its operation, as well as discuss what it means to the hardware market and local industries.

Source: Ashesi
Sakawa rituals and cyberfraud in Ghanaian popular video movies

Sakawa indexes a cyberfraud practice in Ghana allegedly linked with occult rituals. This article examines the phenomenon as an analytically relevant example of a material understanding of religion. It then offers a critical reading of a popular sakawa video series and contrasts its thematic perspectives with the reactions of some Ghanaian political leaders to the possible motivations for the practice. This critical approach is conceived as a response to the persistent myopic view of such popular genres as irrelevant to key debates around problematic Ghanaian issues and also to calls in global media studies to de-Westernize the field.

Source: Ashesi
Scalable automated machine learning

Automated machine learning holds a lot of promise to revolutionize and democratize the field of artificial intelligence. Neural architecture search is one of the main components of AutoML and is usually very computationally expensive. Autokeras is a framework that proposes a Bayesian optimization approach to neural architecture search in order to make it more efficient [8]. AutoKeras suffers from two major limitations: (i) the lack of support for parallel Bayesian optimization, which limits applicability in distributed settings and (ii) a slow start issue which limits the performance when time is limited. Solving these two problems would make Autokeras more flexible, and allow it to scale to the available resources of the user. We address these two problems. First we design and implement two algorithms for parallel bayesian optimization. Then we incorporate a greedy algorithm to tackle the slow start problem. To evaluate the performance of those algorithms, we first evaluate the Autokeras Bayesian searcher and compare the results to the algorithms we have implemented. On a Tesla T4 GPU, running for 12 hours, the Bayesian searcher got to 80.9% for. Our first parallel algorithm, GP-UCB-PE got 81.85% on 4 GPUs for 12 hours. Our second parallel algorithm, GP-BUCB got 81.89% on GPUs for 12 hours. By incorporating the greedy approach, we achieved 86.78% after running for 3 hours.

Source: Ashesi
SchedulAI: A Hybrid Algorithmic and Al-Based Timetabling and Resource Allocation System

Creating academic institution timetables requires a significant amount of time and effort, especially as student enrolments and program offerings continue to grow. Traditional manual scheduling systems are inadequate for dealing with dynamic teacher, student, and departmental preferences and limits, resulting in inefficiencies, disputes, and extensive administrative effort. This capstone project introduces SchedulAl, a web-based artificial intelligence timetabling and resource allocation system created to address difficulties at Ashesi University and other higher educational institutions. SchedulAl uses a microservices architecture for modularity and scalability, and it incorporates complex algorithms such as a Heuristic Greedy Scheduler, and a feasibility checker based on a genetic algorithm. The algorithms enable the automated development of conflict-free schedules that satisfy hard constraints such as avoiding lecturer and room overlaps. These algorithms also optimize soft constraints such as the teaching preferred times. One of the innovations revolves around the system's real-time adjustment features, through which administrators can make changes on the fly using an interactive drag-and-drop interface supported by AJAX and SocketlO.

Source: Ashesi
Scholarship fund management system

This project seeks to improve an existing web based system used by a Non-Governmental Organisation in Ghana to manage their scholarship application process. The NGO, which sponsors High School students in Ghana, currently has a web based application that helps them process their scholarship application and awarding process. The existing application keeps record on applicants, generate points for applicants which are used as the basis for awarding the scholarships, and generate scholarship offer letters for these awardees. Given the current focus of the existing system, this project seeks to widen the scope of the system by adding functionalities to track payments. Therefore, instead of just being a Scholarship Application System, the system will be a Scholarship Management System (or a Scholarship Fund Management System). At the end of this project, the NGO should be able to use less time in processing payments, get a more transparent payment system, generate reports from the system and reduce costs of operation.

Source: Ashesi
School records management system for basic schools in Accra, Ghana; Using Westlands Lyceum, Dansoman as a case study

Basic schools in Ghana, especially in Accra have problems keeping school records for extended periods of time (Azameti & Adjei, 2013). Most of these records are kept in paper form, and since paper is not durable and cannot be kept for a long time, their school records also get lost quickly (Azameti & Adjei, 2013; Adu, 2014). To solve this problem, an electronic web-based school records management system was built for basic schools in Accra, Ghana. The application is to help schools to keep all kinds of school records: Student records, Staff records and Inventory records. The final application was developed using web technologies like HTML, CSS, JavaScript, and PHP programming languages after the analysis of the questionnaires was completed. The system was developed in three main parts: front-end, back-end and database for each stakeholder module. The main stakeholders of this system were parents, staff, and management of primary schools in Ghana, and for each of them, a different module was created based on the requirements of the stakeholders. The database was created to store all information entered into the system, the back-end handled all the server-side processes that influenced the elements on the front-end pages. The different requirements for the modules were gotten through different questionnaires administered to the different stakeholders. After implementation, the system was subjected to testing by stakeholders to ensure that it met the specified requirements. Feedback was collected from the participants of the testing phase to serve as the requirements for future work on the application.

Source: Ashesi