College of Computing and Information Sciences (CoCIS)

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Browsing College of Computing and Information Sciences (CoCIS) by Title

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    3D weight tracker app
    (Makerere University, 2023-06) Otwani, Jonathan Innocent ; Kakooza, Kenneth ; Namukisa, Daphine ; Masolo, Derick
    Our modern sedentary lifestyle has resulted in unhealthy weight gain, which causes diseases like heart attack, high cholesterol, diabetes, depression, obesity. World Health Organization (WHO) [1] suggests moderate intensity workout of at-least two and half hours of vigorous-intensity aerobic physical activity of seventy-five minutes for the adults aged between eighteen and sixty-four throughout the week. Weight tracking apps have become increasingly popular tools for individuals to monitor their weight and achieve their weight loss goals. These apps typically allow users to track their weight over time, set weight loss goals, and receive reminders and motivation to stay on track. However, many existing weight tracking apps are so manual that one has to input all the required requirements, which is a waste of a lot of time and tiresome. To address this issue, we have developed a 3D weight tracker app that utilizes advanced data analysis and numerical computations to provide users with tailored and simplified way of tracking weight, achieve their weight loss goals and be able to have their body parts measurements. Our app allows users to track their weight over time using a user-friendly 3D model of their body. This model not only displays the users current weight but also allows the user to visualize their progress towards their weight loss goals. In addition, our app utilizes the smart phone camera to capture the users full image of the body and will calculate the Body Mass Index and Body Fat Percentage basing on the data results from the processed image. We believe that our 3D weight tracker app has the potential to significantly improve the effectiveness of weight management for individuals seeking to achieve their weight loss goals. In this report, we will provide an overview of the features and functionality of our app, as well as the results of user testing and feedback. We hope that this report will serve as a valuable resource for individuals seeking to improve their weight management and overall health. The purpose of the current study is therefore to design and implement an android App that will be used to track weight loss amongst a group of successful weight loss maintainers. This study focused an App because smartphone apps are the most widely used tools in the general population.
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    Academic Document Authenticity System (ADAS)
    (Makerere University, 2022-09-23) Amokol, Priscilla ; Aruho, Joan ; Basiima, Julius ; Ibanda, Andrew
    This book begins by showing the Github repository and the blog used by the team to develop the system. It describes the software Design Document (SDD) for our project that guided us to implement the system, these are the sections included in the SDD, Introduction to the project purpose and scope, system overview, system architecture, Data design, component design, Human interface design and requirements matrix for the system. It also describes the report of our system after the implementation. Which includes, introduction, system specifications, Design output, inspection and testing, installation and system acceptance, performance, servicing, maintenance and phase out, conclusions and recommendations. This book also contains the user manual guide, which will help users of the system (Academic Document Authenticity System) on how to interact with it.
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    Academic school management mobile application
    ( 2018-08-16) Ssempala, Muhammad ; Kabuunga, Hamidu ; Taremwa, Joab ; Magero, Timothy
    This a representation of the Academic School Management Mobile Application project development for schools. This project was worthy developing because of the existing need to automate school activities and phase out the manual system or paper based system.The main aim of this project was to develop a flexible mobile application that brings fundamental activities of the school like attendance, report making, timetabling and ID creation in one place. We interacted with various stakeholders and collected information through interviews, bench marking, observations and review of literature on different aspects of the project. We used Entity Relationship Diagrams and context diagrams to analyze and design our system. The prototype has been tested and it has been observed that the system successfully registers students, facilitates attendance recording by the teachers and generates a student card and overall transcript for all students and a feasible timetable satisfying the constraints (requirements). It has also been shown that the application facilitates to create the student identity card by the administrator. We hope that our application provides a feasible solution to the existing paper based school management system.
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    Accessing records management at Tanzania Roads Agency Registry
    ( 2017-11-28) Mtui, Aisia Dickson
    The study was undertaken to assess records management at Tanzania Roads Agency (TANROADS) headquarters, Dar es Salaam. It was centered on the following objectives below; to establish the current status of records management, find out how records are managed, identify challenges of managing records and to make suggestion for the best practices in managing records at TANROADS. The study adopted a case study design. Data was collected using interviews, observation and document analysis. A sample size of ten respondents was selected using purposive sampling where 2 human resource officers, 2 records officers, 2 secretaries, 2 accountants and 2 contractor engineers. The study findings revealed that there were no enough records staff and few respondents were aware of policy and procedures of records management at TANROADs. The facilities used to store records included; files, filling cabinet, computers and shelves. However, records storage facilities were not enough to meet the need of TANROADs. Also space was not enough to keep both current and semi current records at the same place. There was misplacement of files due to poor tracking system, however. The study recommended that TANROADS should consider re-allocating or expanding the registry, increasing registry funding and fully automating and computerizing its records management functions to enhance service delivery to all its stakeholders. More so, TANROADS should consider training for all staffs within the department and also implementation of electronic records management system to ensure there is proper and timely information delivery.
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    The affordable patient vitals monitoring and advisory system
    (Makerere University, 2023-07) Mutesasira, Bashir ; Asiimwe, Brian ; Ndeke, Azah Etombi ; Kasauli, Zindazed Abdshahd
    This project report provides a comprehensive overview of the affordable patients vitals monitor and Wellness Advisory System, covering its design, implementation, testing, installation, and maintenance. The report is organized into seven chapters, along with an appendix containing the user manual. Chapter 1: Introduction sets the context for the project, outlining the purpose and objectives of the system. It highlights the need for an affordable patient vitals monitoring and advisory system and its potential benefits in healthcare settings. Chapter 2: System Specifications presents the detailed specifications of the system, including hardware and software requirements. It provides a clear understanding of the system's capabilities and functionalities. Chapter 3: Design Output delves into the design considerations and decisions made during the development process. It describes the system architecture, component design, and human interface design, ensuring seamless integration and optimal user experience. Chapter 4: Inspection and Testing discusses the rigorous inspection and testing procedures employed to ensure the system's reliability and accuracy. It outlines the test cases, methodologies, and results, validating the system's performance and functionality. Chapter 5: Installation and System Acceptance Test provides insights into the installation process and the steps taken to ensure a successful deployment. It also covers the system acceptance test, where the system's compliance with requirements and user satisfaction is evaluated. Chapter 6: Performance, Servicing, Maintenance, and Phase Out addresses the system's performance, ongoing servicing, and maintenance requirements. It outlines best practices for maintaining system performance, troubleshooting, and eventual phase-out strategies. Chapter 7: Conclusion and Recommendations summarizes the key findings of the project and presents recommendations for future enhancements and improvements. It highlights the system's contributions to patient care and emphasizes the importance of its continued development. Appendix A: User Manual offers a detailed guide on how to operate and utilize the system effectively. It provides step-by-step instructions and explanations to ensure users can maximize the system's capabilities. This project report serves as a comprehensive resource for understanding the Affordable Patients Vitals Monitor and Wellness Advisory System. It showcases the system's specifications, design considerations, testing procedures, installation guidelines, maintenance requirements, and user manual. The report concludes with recommendations for further advancements, emphasizing the system's potential to transform the landscape of patient care.
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    AFRISAFE RUN: A 3D endless runner STIs game
    (Makerere University, 2025) Nankunda, Josephine ; Angoda, Brian Nyanga ; Gasasira, Joshua Conor ; Agani, Daniel Strong
    AfriSafe Run: A 3D Endless Runner STIs Game is a mobile game developed by Bachelor of Science in Software Engineering students at Makerere University to promote STI awareness among adolescents. Using gamification and mobile technology, the game delivers sexual health education in an engaging way. Built with Unity 3D and C#, and integrated with a MySQL database and Laravel-based CMS, the game challenges players to avoid risky behaviours while receiving educational prompts on STI prevention and management. The project addresses barriers such as stigma and lack of engaging resources by combining fun gameplay with evidence-based content. The system is scalable and interactive, ensuring real- time updates and personalized experiences. This report covers the full development lifecycle, showcasing the game's potential to transform adolescent health education through innovative technology.
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    An aggregation portal for Angel Investment and Venture Capitalization of startups and Small and Medium Enterprises (SMEs) in Uganda
    (Makerere University, 2018) Mawejje, Ashiraf ; Nakacwa, Sandra ; Twinomugisha, Alex ; Waitire, Colline
    Context: This paper discusses the funding challenges faced by start-ups and SMEs in Uganda, causing their failures, and the need to aggregate the angel investors, and venture capitalists, into the businesses in one portal. We highlight how accelerators and incubators in Uganda try to address the issues. Objective: Investigating how startups and SMEs get capital to start or scale up their businesses and their awareness about angel investors, venture capitalists, incubators, and accelerators. Methodology: The research method used in the study was a descriptive research design of a survey type. The study involved 50 entrepreneurs around Kampala including early startups and small and medium enterprises (SMEs). The Sampling technique was stratified random sampling and simple random sampling was used. A questionnaire was used as a research instrument. The collected data was analyzed using SPSS software. This paper also addresses challenges in the current options for acquiring capital for example bank loans, and money from friends and family, among others. It also discusses the position of Uganda in regard to having a favorable environment for entrepreneurship. Results: Most entrepreneurs are not aware of accelerators, incubators, angel investors and venture capitalists, insufficient capital is the most pressing problem faced by entrepreneurs, insufficient collateral and high-interest rates are the most factors limiting entrepreneurs from acquiring finances, there is a need for a possibility of obtaining finances without collateral security Conclusion: Capital is a major hindrance to the growth of start-ups and SMEs and Lack of awareness of entrepreneurs about right investors, accelerators and incubators.
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    Agri-Predict mobile application
    (Makerere University, 2022-04-27) Asiimwe, Orla Nerys ; Babirye, Petrina Tusubira ; Kivumbi, George Owen ; Kyebagonza, Jonathan
    Fluctuation of maize prices in Uganda is a common problem. Maize farmers are often emotionally and financially strained when they invest a lot into farming and after harvesting, the maize prices drop significantly. This strain could be eased if there was a means for farmers as well as other stakeholders to have an idea or approximation of what the prices could be during the next harvest season. This research project conducted between March 2021 and December 2021 introduces Agri-predict mobile application, a solution to this problem. Agri-predict is a react native mobile application, that uses machine-learning forecasting techniques by combing sklearn library sktime with regression to forecast the possible maize prices for the upcoming season ahead of time. This gives stakeholders an idea of how to plan for the next season, for example, maize farmers can know whether to sow more or less grain and in addition, it brings emotional comfort by removing price uncertainty. The machine-learning model considers its independent variables as maize quantity in terms of production and precipitation levels. It also considers maize prices of the harvest season as the dependent variable.It should, however, be noted that maize prices in Uganda are affected by many more factors but only the above mentioned were taken into consideration for this study. This report highlights similar studies in agriculture price forecasting conducted in other parts of the world under the Literature Review. It also provides a systematic description of methods that were applied during the study in terms of the techniques employed in data collection, analysis, design, implementation, testing, and validation. The report vividly describes how the machine-learning model was built, trained and tested to ensure accuracy.Finally, it presents a discussion on the results of all the above activities.
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    Agricultural advisory Information Management System
    (Makerere University, 2022-03-22) Mwogereza, Delick ; Mukyala, Linda ; Alaroker, Florence ; Mutebi, Rashid
    This project is aimed at developing a web based information system for providing agricultural information to farmers who face a number of challenges such as pests and diseases, unreliable weather conditions and poor storage methods for their crops. The existing information management systems has enabled the farmers to know the different pests and diseases, what AAIMS does is extending a somewhat similar service to farmers by linking them to extension workers to provide more information that will guide farmers on how increase food productivity.
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    An agricultural financing platform
    (Makerere University, 2018-08-06) Tumusiime, Dennis B ; Nambuule, Norah Namirembe ; Muganwa, Isaac ; Ssekibuule, David
    This project aims at reducing the problem of difficulty in finding potential investors by farmers through providing an interactive online platform that enables potential investors to look up for farmers as well as farmers looking up for the potential investors. The main features of this system include; an online interface with user accounts for both farmers and investors to interact and share details, the farmer has an added functionality of marketing his products and viewing market analysis in terms of demand and market price of the available items. The investor can also view market analysis showing items and their demand rate. We used different data collection techniques such as observation and interaction with the similar existing systems, interviews and questionnaires for the success of our project. We also had a chance to interact with the farmers at Mukono Vanilla Growers association and from here we got extremely motivated to go on with the project since the idea was highly welcomed. After interviewing a number of farmers, we ascertained the stake holder’s needs which helped in achieving the objectives of the project Observation helped us get the flow of information between the farmers and the investors as well as observing the functionalities of the existing related systems. The questionnaire enabled us to get detailed information on the activities and how they are carried out in the process of finding investors. We analyzed the data collected using excel and from the analysis we carried out process modeling under system design where we drew context diagrams, DFDs and ERDs.
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    An agricultural information dissertation plan for farmers in Alwa sub county, Kaberamaido district
    (Makerere University, 2021-08) Agwango, Deborah
    The current study was conducted to probe farmer’s dissemination of agricultural information plan in a Aiwa sub-county, Kaberamaido district. The aims and objectives were to identify the information needs for enhancing agricultural activities in Aiwa Sub County, Kaberamaido district, to identify the different agricultural activities taking place in Aiwa Sub County, Kaberamaido district, to determine how agricultural information is disseminated to farmers in Aiwa Sub County. Kaberamaido district, to identify the factors affecting agricultural information dissemination in Aiwa sub county, Kaberamaido district and to propose a plan for agricultural information dissemination in Aiwa sub county, Kaberamaido district. Qualitative research method was used and involved interaction between the researcher and the respondent with a subjective mind. Findings a base on data collected through interview, method where 15 extension workers were interviewed using purposive method. It also involved using observation, focused groups and in-depth interviews so as to minimize on errors. The findings reveled that man)' farmers use radios and mobile phones to receive and access agricultural information being disseminated. The findings also reveals that agricultural information dissemination plan for farmers will be essential since farmers will be informed of the new market prices of produce. The study recommends that farmers should have an agricultural information dissemination plan since it consists of diagnosing, finding and refilling the needs of relevant clientele by mutually beneficial exchange relationship. The study also recommends that the district local government should formulate and implement ICTs for agricultural projects based a research conceptual framework related to ICT for dissemination of agricultural information. Conclusion, there is still more need to improve on dissemination of agricultural information in Aiwa sub county, Kaberamaido district local government.
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    An Agricultural inputs information management system
    (Makerere University, 2022-05-04) Nakitto, Lynnet Christine ; Namakula, Leah ; Nafula, Jane ; Ssesanga, Phillip ; Odongo, Shadrack
    Poor management of Agricultural inputs information has become a major concern to Farmers in Wakiso District today, this has led farmers to purchase counterfeit Agricultural Inputs unknowingly hence harvesting poor farm yields and losing interest in farming, thus abandoning their farms, also Agro-Dealers are also facing losses because the farmers are no longer buying from them. The farmers told us they purchase their products from markets, local village shops and others travel to Kampala City to buy the inputs. The problem arises after these farm inputs are applied to their gardens because most of the farmers complained that they do not achieve the high yields that they were promised by the Agro- Dealers. The Agricultural Input Information Management System facilities communication between farmers and Agro-Dealers to provide quality information about the genuine inputs and description of the counterfeit inputs to reduce on their purchase and use, the system allows farmers to log into the system and search for the genuine farm inputs from the system, with the description of how to use it and the location or contact of this genuine Agro-Dealer who also registered the genuine farm inputs on our system. The information used for this system was collected using Questionnaires and Interview guides in order to get the different perspectives from the Farmers and Agro-Dealers and any suggestions on what is required and how to improve the system. The research data was analyzed using comparative methods and content analysis with excel. Data flow diagrams and Enhanced Entity Relationship Diagram were used to model the system design for easy understanding of how it works for both developers and other stakeholders. The system was developed using technologies like HTML, CSS, PHP, JavaScript and Bootstrap. The system has different users with different roles that is; the administrator is in charge of monitoring and maintaining the system, the Farmer is able to register, login, search the available farm inputs and view the images, contacts and locations of Agro-Dealers where they can purchase from and the Agro-Dealer is able to register, login, add inputs, view inputs, view location and contacts of other Agro-Dealers. This report covers all chapters and activities carried out through the entire project.
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    Agricultural produce price repository
    (Makerere University, 2022-01) Mawanda, Tracy ; Kisekka, Alexandder ; Bulime, Deogracios ; Sande, Micheal
    The lack of information about the current and constantly changing prices in the Agricultural business by farmers, both small and large scale traders especially those without connections to the right sources of information, creates a huge gap in future planning, major decision making and a chance for fraudsters to cheat uninformed farmers. Agricultural Produce Price Repository is a USSD application that works as an interface to collect and view data in the form of prices whereby a user can register and access the prices available for different foods, goods or products in relation to their nearest marketplace. The registered user also has an option of adding a price for a crop/product they are conversant with. The farmer will also be able to know which crops are selling by analyzing the trends in average prices. With this farmers are able to plan beforehand and make strategic decisions for their farms and future ventures and also be well prepared for market days. Analysts can also use our price trends data to analyze and make informed decisions to better the agricultural sector accordingly.
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    AgriSuccess
    (Makerere University, 2021-03) Sserwada, Ahmed ; Obwakou, Patrick ; Chekwech, Isaiah Emmanuel
    The Agrisuccess system is developed to be used by farmers and everyone in the agricultural sector. It was observed that there were problems such as difficulty to access good markets for their produce, advice on the modern farming techniques and ways on how to measure soil fertility so as to ensure high crop yields. We were prompted to develop a system that can help farmers to get the best out of a season, since Uganda is majorly an agricultural country. There were also high concerns of depending on primitive means of farming that by any means will not yield the best out of what they have grown. A few existing systems were reviewed in a bid to find out what was missing in them for us to improve. Questionnaires, interviews and observation were the methods used to find out the requirements and these was in Wakiso region which we took as the scope of study on the farmers. These provide us with a lot of information that we used to build our system. During the design phase, we used different process and data modelling techniques to show how the different entities relate with each other and how they relate with the system. DFDs, ERDs and the system architecture were all drawn to show the flow within the system. The system was implemented using JavaScript programing language for the web system, HTML for providing the structure so that browsers know what to show and CSS for cascading style sheet. MySQL, a database management system program was used to create and manage the database of the system. SQLyog, a GUI based database management application was used to provide an interface for creating and managing the database on MySQL server, Notepad++ text editor was used for writing PHP scripts for accessing the MySQL database. The system was thereafter tested and validated to make sure that it met all the intended requirements and to also make sure that there were no errors.
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    Agro-input management system
    (Makerere University, 2021-01-27) Ssenyange, Kenin Solomon ; Alinda, Alvin ; Ssekiziyivu, Moses
    This report is about the development of an Agro-Input Management System final year project which was carried out in the period fromFebruary 2020 to December 2020. Agro inputs authenticity is important for human health and environmental protection also economic progress of users, dealers and the government benefits through levies. In order to ensure that authentic agro inputsare sold in Uganda, laws have been enacted and governmentbodies given mandate to enforcethese laws. Despite the measures, counterfeits are found in markets. Companies that have spenta lot in research so asto produce authentic agro inputsproducts end up losing hope as no substantial return in investment. This study targets on an ICT based solution for agro inputauthenticity verification in the market. In order to prove the need for the solution, literature review has been done and presentation of data gathered from the identified three groups of agro inputs stakeholders, which are regulatory authority, dealersand users preferably farmers all from Mityana district. The findings from the collected data reveals that, despite high awareness on availability of counterfeit pesticides among respondents, still most of them declared to have been buying counterfeits. Hence, there is a need of more reliable agro input management systemto help agro inputusers in authenticity verification of products during purchase
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    An Agumented Reality mobile Application for improving the online shopping experience
    (Makerere University, 2022-11-16) Nakisozi, Lwantale Martha ; Banshemera, Benadette ; Chambaga, Abudlah ; Nagwere, Rhodin Emmanuel
    An augmented reality mobile application was designed and developed for a selected online retail business, and that was a furniture store. Our respondents interacted with the mobile application and usage was validated thereby finding a significant relationship existing between behavioral intention and consumer adoption of our augmented reality feature that will enhance their online shopping experience. The consequent output of our project study was therefore an augmented reality gateway or feature that can be added to existing online shopping platforms to improve their online shopping experience.
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    AI car price negotiator system
    (Makerere University, 2022-09) Ndyabagye, Henry ; Atuhurira, Kirabo Kakopo ; Ssembatya, Isaac ; Kigula, Jesse James
    This paper describes the Softaware Design Document, Project Report and User Manual for the AI Car Price Negotiator. This software service is designed to allow negotiation of a price set on a car by buyers with an AI chatbot. The AI Chatbot can be used to communicate with buyers and sellers in real time. The software was developed using the Python programming language and was able to serve both sellers and buyers. It was tested and validated using a set of system specifications. It is highly recommended that the AI software used in this implementation be regularly upgraded since AI is still an evolving field that is ever growing.
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    An AI intelligence Student Assessment System
    (Makerere University, 2023-07-18) Nsubuga, Frank ; Nagujja, Mariam ; Mpagi Kato, Samuel ; Mwega, Gilbert ; Ogwel Emmanuel, Patrick
    The rapid advancement of artificial intelligence (AI) technology has paved the way for innovative approaches to educational assessment. This report presents the development and implementation of an AI-based student assessment system designed to enhance the accuracy, efficiency, and fairness of evaluating student performance. The development process involved the integration of state-of-the-art AI algorithms, machine learning techniques, and natural language processing capabilities. The system leverages largescale data analysis, adaptive learning models, and intelligent feedback mechanisms to provide personalized assessments tailored to individual student needs. Through the utilization of deep neural networks and robust predictive analytics, the AI assessment system has been trained on diverse datasets encompassing various academic subjects and evaluation formats. The system has demonstrated significant improvements in accuracy and reliability compared to traditional assessment methods. Furthermore, the AI assessment system offers several unique features. It has the ability to analyze open-ended responses, assess critical thinking skills, and provide detailed feedback on areas of improvement. Moreover, the system can adapt its assessment strategies based on student performance patterns, providing targeted interventions and personalized learning paths. This report concludes with recommendations for further improvements and future directions, including expanding the system's capabilities to incorporate additional subject areas, refining feedback mechanisms, and integrating the assessment system into existing educational platforms. The development of an AI-based student assessment system represents a significant milestone in leveraging technology to advance education, providing a scalable and intelligent solution to support teaching and learning processes
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    AI powered pathological myopia diagnosis system
    (Makerere University, 2025) Kyomuhendo, Precious ; Kato, Collins ; Muyama, Monica ; Musaba, Abdul Karim
    This final year project addresses the critical challenge of pathological myopia diagnosis in Uganda, particularly in Kampala, where approximately 3% of the population is affected by this progressive vision-threatening condition. Pathological myopia, characterized by excessive axial elongation of the eye, typically begins between ages 6-13 and continues to progress throughout life, often leading to significant vision impairment during individuals' most productive years. Our project develops and implements an artificial intelligence (AI) system specifically designed to enhance the accuracy and efficiency of pathological myopia diagnosis in resource-constrained clinical settings. The system utilizes deep learning algorithms trained on fundus images to detect characteristic retinal changes associated with pathological myopia, including posterior staphyloma, chorioretinal atrophy, and myopic maculopathy. Through systematic development phases including requirements analysis, system design, model training, and validation testing, we created a user-friendly diagnostic support tool that achieves 89% accuracy in detecting pathological myopia markers. The system functions as a clinical decision support tool, providing ophthalmologists with AI-assisted analysis while maintaining medical professional oversight in the diagnostic process. Field testing conducted at Makerere University Hospital demonstrated the system's effectiveness in reducing diagnostic time by 64% compared to conventional methods, while maintaining high diagnostic accuracy. Healthcare providers reported high satisfaction with the tool's usability and integration into existing clinical workflows. This project contributes a practical, cost-effective solution to improve pathological myopia diagnosis in Uganda, with potential for broader application across similar healthcare settings in sub-Saharan Africa. The implementation of this AI diagnostic system represents a significant step toward modernizing eye care services and reducing preventable vision loss in affected populations
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    AI therapist App - your personal mental health companion
    (Makerere University, 2025) Burhan, Yasin Ali ; Tebuseke, Joseph
    Mental health challenges affect millions globally, yet access to quality care remains limited due to cost, stigma, and scarcity of trained professionals. This research addresses this gap by developing an AI Therapist Web app using Retrieval Augmented Generation (RAG) models trained on validated medical literature. The system provides accessible, evidence-based mental health support while emphasizing responsible AI implementation. Our methodology combined software development using Ruby on Rails, machine learning techniques, and user-centered design principles. We leveraged Google’s Gemini 2.0 as our foundation model for the RAG implementation, enhancing its capabilities with domain specific knowledge retrieval. This research contributes to the growing field of AI in healthcare while addressing critical accessibility challenges in mental health support. The developed system serves as a complementary tool to traditional therapy, potentially reducing barriers to care for underserved populations.