Nakudin uses cookies to serve ads, including personalized ads based on your visits to this and other sites. See our Privacy Policy for details.
Development of an Inventory Management System for Retail Businesses
This study developed an Inventory Management System to automate the tracking of stock levels, sales, and reordering in retail businesses. Manual inventory management often results in stockouts, overstocking, and inaccurate records. The system allows users to record product purchases and sales, monitor stock levels, and generate alerts and reports for low inventory. Built with Python Django and SQLite, the system was evaluated for functionality and usability with retail staff. The findings revealed improved stock accuracy, reduced losses from overstocking, and better-informed purchasing decisions. The study recommends deployment of the system to enhance the efficiency of inventory operations in retail businesses.
2024 — Undergraduate
Design and Implementation of a Supply Chain Management System for Manufacturing Firms
This study designed and implemented a Supply Chain Management System to coordinate the movement of materials and finished goods in manufacturing firms. Fragmented manual tracking of suppliers, orders, and inventory leads to inefficiencies, delays, and stockouts. The system manages suppliers, purchase orders, inventory levels, and delivery tracking, providing stakeholders with a centralised view of the supply chain. Built with Node.js, Express, and MongoDB, the system was evaluated with supply chain staff. The findings revealed improved coordination, reduced lead times, and better inventory visibility. The study recommends adoption of the system to support efficient and responsive supply chain operations.
2024 — Undergraduate
Development of a Web-Based Payroll Management System for Organisations
This study developed a Web-Based Payroll Management System to automate the computation and disbursement of employee salaries and benefits in organisations. Manual payroll processing is error-prone, time-consuming, and difficult to audit. The system models employees, allowances, deductions, and pay computation, generating payslips and reports for staff and administrators. Built with PHP and MySQL using an object-oriented approach, the system was tested for accuracy and usability with HR staff. The findings showed reduced payroll errors, faster processing, and better record keeping. The study recommends deployment of the system to enhance the efficiency and accuracy of payroll administration.
2024 — Undergraduate
Design and Implementation of an Online Banking System for Financial Transactions
This study designed and implemented an Online Banking System to support secure financial transactions among account holders. The manual and legacy processes are often slow, inconvenient, and limited in remote access. The system models accounts, deposits, withdrawals, transfers, and transaction histories, providing users with a secure interface for their banking needs. Built with an object-oriented design in Python Django and SQLite, the system was evaluated for functionality, security, and usability. The findings revealed accurate transaction processing, improved convenience, and secure handling of account data. The study recommends the system as a foundation for more comprehensive digital banking services.
2024 — Undergraduate
Development of an Online Voting System for Student Union Elections
This study developed an Online Voting System to conduct student union elections securely and efficiently. Manual voting is time-consuming, prone to errors, and vulnerable to manipulation. The system enables eligible voters to cast their votes online, verifies eligibility, and provides auditable and tamper-resistant tallying. Built with Node.js, Express, and MongoDB, the system was designed with security and usability considerations. Evaluation with students and electoral officials demonstrated accurate vote counting, reduced voting time, and improved confidence in the election process. The study recommends adoption of the system with strong security controls and transparency mechanisms.
2024 — Undergraduate
Design and Implementation of a Student Attendance Management System Using Biometrics
This study designed and implemented a Student Attendance Management System that verifies student identity using biometric fingerprints, addressing the limitations of manual attendance registers. The manual system is slow, prone to errors, and susceptible to proxy attendance. The system allows students to register their fingerprints and record attendance electronically, while lecturers and administrators monitor attendance records. Built with PHP and MySQL, the system was evaluated in a classroom setting for accuracy and usability. The findings revealed faster attendance taking, reduced proxy attendance, and reliable attendance records. The study recommends deployment of the system and integration with broader academic records management.
2024 — Undergraduate
Design and Implementation of a Machine Learning-Based Crop Disease Detection System
This study designed and implemented a Crop Disease Detection System that uses machine learning to identify plant diseases from images of leaves. Early detection of crop diseases is critical to reducing agricultural losses, yet many farmers lack access to expert diagnosis. The system applies image classification to distinguish healthy from diseased crops and recommend appropriate action. Built with Python and Django, the system was trained and evaluated on a dataset of crop leaf images. The findings showed a high classification accuracy and a practical, accessible interface for farmers. The study recommends extending the system to more crops and integrating it into a mobile application for broader reach.
2024 — Undergraduate
Development of an AI-Powered Chatbot for Student Support Services
This study developed an AI-Powered Chatbot to provide automated support services to students, addressing common queries about admissions, registration, courses, and campus services. Manual responses to repetitive student questions consume staff time and delay support. The chatbot uses a rule-based and retrieval approach to understand and respond to frequently asked questions, and escalates complex queries to human staff. Built with Python Django and an SQLite database, the chatbot was evaluated with a sample of students. Findings revealed reduced response time, increased availability of support, and high user satisfaction. The study recommends integrating the chatbot into institutional websites and mobile platforms.
2024 — Undergraduate
Development of a Campus Wi-Fi Access and Usage Management System
This study developed a Campus Wi-Fi Access and Usage Management System to manage user access and monitor the usage of wireless networks in tertiary institutions. Managing access manually and without controls often results in unauthorised use, congestion, and inequitable bandwidth sharing. The system provides user authentication, time-based and usage-based access controls, and dashboards for administrators to monitor usage. Built with Node.js, Express, and MongoDB, the system was evaluated with network administrators and selected users. The findings showed improved access control, fairer bandwidth allocation, and better visibility of network usage. The study recommends deployment of the system to support secure and efficient campus networking.
2024 — Undergraduate
Design and Implementation of a Network Monitoring and Management Tool
This study designed and implemented a Network Monitoring and Management Tool to assist network administrators in tracking the availability, performance, and security of networked devices. Manual monitoring is tedious, error-prone, and incapable of providing real-time visibility. The system polls devices, records uptime and response times, and provides dashboards and alerts for anomalies. Built with Python Django and a SQLite database, the tool was evaluated in a campus network environment. The findings revealed improved fault detection, faster response to outages, and better utilisation of network resources. The study recommends adoption of the tool to support proactive network management.
2024 — Undergraduate
Development of an Online Hotel Booking and Reservation System
This study developed an Online Hotel Booking and Reservation System to address the inefficiencies of manual room reservation in Nigerian hotels. The manual system is characterised by overbooking, booking errors, and poor guest record management. The system allows guests to browse available rooms, make and manage reservations, and view booking confirmations, while hotel staff manage room availability and check-ins. Built with PHP and MySQL, the system was evaluated for functionality and usability. The findings showed a reduction in double bookings and an improvement in the speed and accuracy of the reservation process. The study recommends deployment of the system to enhance the operational efficiency of hotels.
2024 — Undergraduate
Design and Implementation of an E-Commerce Platform for Small Businesses in Nigeria
This study designed and implemented an E-Commerce Platform to enable small businesses in Nigeria to sell products online. Many small businesses rely on informal channels that limit their reach and hinder effective order and payment management. The platform allows vendors to create storefronts, list products with images and prices, and manage orders, while customers can browse, add to cart, and checkout. Adopting Agile methodology, the system was built with Node.js, Express, and MongoDB. Evaluation revealed improved market reach, streamlined ordering, and enhanced customer experience. The study recommends integration of secure online payment gateways and logistics partnerships to support scaling.
2024 — Undergraduate
Development of a Comprehensive School Management System for Secondary Schools
This study developed a Comprehensive School Management System to integrate the administrative functions of secondary schools, including student enrolment, staff records, class management, and academic records. The manual and fragmented methods of school administration lead to inefficiency and loss of information. The system centralises administrative processes and provides access to integrated modules for users of different roles. Built with Python Django and SQLite, the system was evaluated with school administrators and teachers. The findings demonstrated improved record keeping, faster generation of reports, and better coordination among school departments. The study recommends full adoption of the system to enhance the overall management of schools.
2024 — Undergraduate
Design and Implementation of an Online Examination Management System
This study designed and implemented an Online Examination Management System to modernise the conduct of examinations in educational institutions. The traditional paper-based approach is time-consuming, resource-intensive, and susceptible to errors and malpractices. The system enables lecturers to set and schedule objective and subjective questions, and students to take timed tests online with automatic marking and results. Built with PHP and MySQL, the system was tested for reliability, security, and usability with both students and lecturers. The findings revealed reduced examination administration overhead and faster release of results. The study recommends deployment of the system together with robust security and anti-fraud measures.
2024 — Undergraduate
Development of a Web-Based Task Scheduler and Reminder System
This study developed a Web-Based Task Scheduler and Reminder System to help individuals and organisations organise tasks, set deadlines, and receive timely reminders. The manual tracking of tasks often leads to missed deadlines and reduced productivity. The system allows users to create, prioritise, and schedule tasks, and to receive email and in-app reminders. Adopting the Systems Development Life Cycle, the system was built with Node.js, Express, and MongoDB. Evaluation revealed that the system improved task organisation, punctuality, and overall productivity among test users. The study recommends deployment of the system for personal and team use, and extension to mobile platforms.
2024 — Undergraduate
Design and Implementation of a Hospital Ward Management System for Healthcare Facilities
This study designed and implemented a Hospital Ward Management System to address the inefficiencies in managing patient admissions, bed allocation, and ward records in healthcare facilities. The manual approach was prone to errors, delays, and poor coordination among medical staff. The system allows staff to register patients, allocate beds, manage ward capacity, and track admission records. Built with Python Django and SQLite, the system was evaluated for functionality and usability with hospital staff. The findings revealed improved bed management, reduced admission processing time, and better availability of patient information. The study recommends adoption of the system to support efficient ward and bed management.
2024 — Undergraduate
Development of an Online Student Registration and Records System for Tertiary Institutions
This study developed an Online Student Registration and Records System to replace the manual, paper-based registration process common in Nigerian tertiary institutions. The system enables students to register for courses online, view their profiles, and check their enrolment status, while administrative staff manage student records and course allocations. Adopting a structured systems development methodology, the system was built with Node.js, Express, and MongoDB. Testing demonstrated reduced registration time, elimination of duplicate records, and improved accuracy of student data. The findings support the deployment of the system to streamline registration and enhance the reliability of student records management.
2024 — Undergraduate
Design and Implementation of a Digital Library Management System for Academic Institutions
This study developed a Digital Library Management System to automate the cataloguing, circulation, and tracking of library resources in academic institutions. The manual system was characterised by slow book searches, loss of records, and difficulty in tracking borrowed items. The system allows librarians to manage books, members, and loans, and enables students to search the catalogue and view availability. Built with PHP and a MySQL relational database, the system was tested for functionality and usability with library staff and students. Findings showed a significant improvement in the speed of book searches and the accuracy of record-keeping. The study recommends deployment across the institution and the integration of an online public access catalogue.
2024 — Undergraduate
Design and Implementation of an Algorithm Visualization Tool for Computer Science Education
This study designed and implemented an Algorithm Visualization Tool to support the teaching and learning of algorithms among Computer Science students. The tool animates sorting and searching algorithms step-by-step, allowing students to observe the internal behaviour of algorithms in real time. The study adopted an agile development approach and a mixed-methods evaluation involving students and lecturers. The system was built with JavaScript for the front-end visualisation and Python Flask for the back-end. Findings revealed that the tool improved students' comprehension of abstract algorithmic concepts and increased engagement during practical sessions. The study recommends integration of the tool into the computer science curriculum and extension to a broader range of algorithms.
2024 — Undergraduate
Development of an E-Learning Management System for Nigerian Universities
This study developed and evaluated a web-based E-Learning Management System (LMS) for Nigerian universities, where the manual distribution of course materials and the recording of assessments have long been inefficient. The system enables lecturers to upload course materials and assignments, and students to view content, submit work, and access grades securely. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Node.js, Express, and MongoDB. The findings showed that the system significantly reduced the time taken to distribute materials and retrieve results, while achieving a high System Usability Scale score. The study recommends full deployment, periodic maintenance, and ongoing user training to maximise the benefits of the platform.
2024 — Undergraduate
Design and Implementation of a Borehole Water Tanker Dispatch System
This project designs and implements design and Implementation of a Borehole Water Tanker Dispatch System for tanker operators in Maiduguri. The system was developed using PHP, MySQL, HTML/CSS, JavaScript. It provides modules for customer orders, truck dispatch, delivery confirmation and driver returns. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of an Inter-State Luxury Bus Manifest System
This project designs and implements development of an Inter-State Luxury Bus Manifest System for transport companies on eastern routes. The system was developed using Python, Django, SQLite, Bootstrap, React. It provides modules for trip manifests, seat allocation, parcel logs and arrival confirmations. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a DSTV Subscription Reseller Tracker
This project designs and implements design and Implementation of a DSTV Subscription Reseller Tracker for cable TV resellers. The system was developed using Node.js, Express, MongoDB, EJS, JavaScript. It provides modules for customer bouquets, expiry alerts, renewal payments and commission reports. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Fish Pond Management System
This project designs and implements design and Implementation of a Fish Pond Management System for catfish farmers in Delta State. The system was developed using Python, Django, SQLite, Bootstrap, JavaScript. It provides modules for pond stocking, feeding schedules, water quality logs, harvest and sales records. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Mosque Zakat Collection and Disbursement System
This project designs and implements development of a Mosque Zakat Collection and Disbursement System for mosque committees in Sokoto. The system was developed using Python, Django, SQLite, Chart.js, Bootstrap. It provides modules for payer records, nisab computation, beneficiary register and disbursement reports. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of an Event Hall Booking System
This project designs and implements design and Implementation of an Event Hall Booking System for event centres in Abuja. The system was developed using Node.js, Express, MongoDB, EJS, JavaScript. It provides modules for hall calendar, bookings, deposits, vendor coordination and event schedules. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Printing Press Job Order System
This project designs and implements design and Implementation of a Printing Press Job Order System for commercial printers in Lagos Island. The system was developed using PHP, MySQL, HTML/CSS, JavaScript. It provides modules for job intake, paper costing, production stages and delivery tracking. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Poultry Farm Records Management System
This project designs and implements development of a Poultry Farm Records Management System for poultry farmers in Ogun State. The system was developed using Node.js, Express, MongoDB, HTML/CSS, JavaScript. It provides modules for flock batches, feed consumption, mortality logs, egg production and sales. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Tailoring Measurement and Order Management System
This project designs and implements development of a Tailoring Measurement and Order Management System for fashion houses in Aba. The system was developed using Python, Django, SQLite, Chart.js, Bootstrap. It provides modules for customer measurements, style catalogue, order tracking and delivery alerts. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Car Wash Loyalty and Records System
This project designs and implements development of a Car Wash Loyalty and Records System for car wash outlets in Port Harcourt. The system was developed using Python, Django, SQLite, Bootstrap, React. It provides modules for customer visits, loyalty points, service history and staff commission. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Cold Store Inventory System for Frozen Foods
This project designs and implements design and Implementation of a Cold Store Inventory System for Frozen Foods for cold store operators in Onitsha. The system was developed using Python, Django, SQLite, Bootstrap, JavaScript. It provides modules for stock intake, blast room logs, sales and spoilage records. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Market Stall Allocation System for Local Governments
This project designs and implements design and Implementation of a Market Stall Allocation System for Local Governments for local government revenue units. The system was developed using PHP, MySQL, HTML/CSS, JavaScript. It provides modules for stall inventory, allocation records, rent billing and occupancy reports. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of an Abattoir Records Management System
This project designs and implements development of an Abattoir Records Management System for municipal abattoirs. The system was developed using Node.js, Express, MongoDB, HTML/CSS, JavaScript. It provides modules for daily slaughter logs, butcher licensing, fee collection and hygiene inspection records. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of an Okada Riders' Union Dues Collection System
This project designs and implements development of an Okada Riders' Union Dues Collection System for riders' unions in Jos. The system was developed using Python, Django, SQLite, Bootstrap, React. It provides modules for member registration, daily tickets, levy records and defaulter tracking. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Sachet Water Factory Distribution Management System
This project designs and implements development of a Sachet Water Factory Distribution Management System for pure water producers in Kano. The system was developed using Python, Django, SQLite, Chart.js, Bootstrap. It provides modules for distributor records, truck loading, sales returns and debt tracking. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Fuel Station Pump Management System
This project designs and implements design and Implementation of a Fuel Station Pump Management System for independent marketers. The system was developed using Node.js, Express, MongoDB, EJS, JavaScript. It provides modules for pump readings, daily sales, staff shifts and shortage analysis. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a Church Membership and Tithe Records System
This project designs and implements design and Implementation of a Church Membership and Tithe Records System for large congregations in Lagos. The system was developed using Python, Django, SQLite, Bootstrap, JavaScript. It provides modules for member registration, attendance, tithe and offering records with receipts. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of a Cooperative Thrift and Credit (Esusu) Management System
This project designs and implements development of a Cooperative Thrift and Credit (Esusu) Management System for market women cooperatives in Ibadan. The system was developed using Node.js, Express, MongoDB, HTML/CSS, JavaScript. It provides modules for member contributions, loan disbursement, repayment schedules and dividend computation. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Design and Implementation of a CBT Centre Management System for JAMB Examinations
This project designs and implements design and Implementation of a CBT Centre Management System for JAMB Examinations for accredited CBT centres. The system was developed using PHP, MySQL, HTML/CSS, JavaScript. It provides modules for candidate scheduling, biometric verification, session monitoring and result upload logs. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of an NYSC Posting and Relocation Management System
This project designs and implements development of an NYSC Posting and Relocation Management System for prospective corps members and state secretariats. The system was developed using Python, Django, SQLite, Bootstrap, React. It provides modules for call-up records, posting letters, relocation requests and clearance tracking. Testing shows the system improves record keeping, reduces paperwork and supports timely decisions.
2025 — Undergraduate
Development of an Inventory Management System for Retail Businesses
This study developed an Inventory Management System to automate the tracking of stock levels, sales, and reordering in retail businesses. Manual inventory management often results in stockouts, overstocking, and inaccurate records. The system allows users to record product purchases and sales, monitor stock levels, and generate alerts and reports for low inventory. Built with Python Django and SQLite, the system was evaluated for functionality and usability with retail staff. The findings revealed improved stock accuracy, reduced losses from overstocking, and better-informed purchasing decisions. The study recommends deployment of the system to enhance the efficiency of inventory operations in retail businesses.
2024 — Undergraduate
Design and Implementation of a Student Attendance Management System Using Biometrics
This study designed and implemented a Student Attendance Management System that verifies student identity using biometric fingerprints, addressing the limitations of manual attendance registers. The manual system is slow, prone to errors, and susceptible to proxy attendance. The system allows students to register their fingerprints and record attendance electronically, while lecturers and administrators monitor attendance records. Built with PHP and MySQL, the system was evaluated in a classroom setting for accuracy and usability. The findings revealed faster attendance taking, reduced proxy attendance, and reliable attendance records. The study recommends deployment of the system and integration with broader academic records management.
2024 — Undergraduate
Design and Implementation of a Supply Chain Management System for Manufacturing Firms
This study designed and implemented a Supply Chain Management System to coordinate the movement of materials and finished goods in manufacturing firms. Fragmented manual tracking of suppliers, orders, and inventory leads to inefficiencies, delays, and stockouts. The system manages suppliers, purchase orders, inventory levels, and delivery tracking, providing stakeholders with a centralised view of the supply chain. Built with Node.js, Express, and MongoDB, the system was evaluated with supply chain staff. The findings revealed improved coordination, reduced lead times, and better inventory visibility. The study recommends adoption of the system to support efficient and responsive supply chain operations.
2024 — Undergraduate
Design and Implementation of an Online Banking System for Financial Transactions
This study designed and implemented an Online Banking System to support secure financial transactions among account holders. The manual and legacy processes are often slow, inconvenient, and limited in remote access. The system models accounts, deposits, withdrawals, transfers, and transaction histories, providing users with a secure interface for their banking needs. Built with an object-oriented design in Python Django and SQLite, the system was evaluated for functionality, security, and usability. The findings revealed accurate transaction processing, improved convenience, and secure handling of account data. The study recommends the system as a foundation for more comprehensive digital banking services.
2024 — Undergraduate
Development of a Web-Based Payroll Management System for Organisations
This study developed a Web-Based Payroll Management System to automate the computation and disbursement of employee salaries and benefits in organisations. Manual payroll processing is error-prone, time-consuming, and difficult to audit. The system models employees, allowances, deductions, and pay computation, generating payslips and reports for staff and administrators. Built with PHP and MySQL using an object-oriented approach, the system was tested for accuracy and usability with HR staff. The findings showed reduced payroll errors, faster processing, and better record keeping. The study recommends deployment of the system to enhance the efficiency and accuracy of payroll administration.
2024 — Undergraduate
Development of an Online Voting System for Student Union Elections
This study developed an Online Voting System to conduct student union elections securely and efficiently. Manual voting is time-consuming, prone to errors, and vulnerable to manipulation. The system enables eligible voters to cast their votes online, verifies eligibility, and provides auditable and tamper-resistant tallying. Built with Node.js, Express, and MongoDB, the system was designed with security and usability considerations. Evaluation with students and electoral officials demonstrated accurate vote counting, reduced voting time, and improved confidence in the election process. The study recommends adoption of the system with strong security controls and transparency mechanisms.
2024 — Undergraduate
Development of an AI-Powered Chatbot for Student Support Services
This study developed an AI-Powered Chatbot to provide automated support services to students, addressing common queries about admissions, registration, courses, and campus services. Manual responses to repetitive student questions consume staff time and delay support. The chatbot uses a rule-based and retrieval approach to understand and respond to frequently asked questions, and escalates complex queries to human staff. Built with Python Django and an SQLite database, the chatbot was evaluated with a sample of students. Findings revealed reduced response time, increased availability of support, and high user satisfaction. The study recommends integrating the chatbot into institutional websites and mobile platforms.
2024 — Undergraduate
Design and Implementation of a Machine Learning-Based Crop Disease Detection System
This study designed and implemented a Crop Disease Detection System that uses machine learning to identify plant diseases from images of leaves. Early detection of crop diseases is critical to reducing agricultural losses, yet many farmers lack access to expert diagnosis. The system applies image classification to distinguish healthy from diseased crops and recommend appropriate action. Built with Python and Django, the system was trained and evaluated on a dataset of crop leaf images. The findings showed a high classification accuracy and a practical, accessible interface for farmers. The study recommends extending the system to more crops and integrating it into a mobile application for broader reach.
2024 — Undergraduate
Development of a Campus Wi-Fi Access and Usage Management System
This study developed a Campus Wi-Fi Access and Usage Management System to manage user access and monitor the usage of wireless networks in tertiary institutions. Managing access manually and without controls often results in unauthorised use, congestion, and inequitable bandwidth sharing. The system provides user authentication, time-based and usage-based access controls, and dashboards for administrators to monitor usage. Built with Node.js, Express, and MongoDB, the system was evaluated with network administrators and selected users. The findings showed improved access control, fairer bandwidth allocation, and better visibility of network usage. The study recommends deployment of the system to support secure and efficient campus networking.
2024 — Undergraduate
Development of an Online Hotel Booking and Reservation System
This study developed an Online Hotel Booking and Reservation System to address the inefficiencies of manual room reservation in Nigerian hotels. The manual system is characterised by overbooking, booking errors, and poor guest record management. The system allows guests to browse available rooms, make and manage reservations, and view booking confirmations, while hotel staff manage room availability and check-ins. Built with PHP and MySQL, the system was evaluated for functionality and usability. The findings showed a reduction in double bookings and an improvement in the speed and accuracy of the reservation process. The study recommends deployment of the system to enhance the operational efficiency of hotels.
2024 — Undergraduate
Design and Implementation of a Network Monitoring and Management Tool
This study designed and implemented a Network Monitoring and Management Tool to assist network administrators in tracking the availability, performance, and security of networked devices. Manual monitoring is tedious, error-prone, and incapable of providing real-time visibility. The system polls devices, records uptime and response times, and provides dashboards and alerts for anomalies. Built with Python Django and a SQLite database, the tool was evaluated in a campus network environment. The findings revealed improved fault detection, faster response to outages, and better utilisation of network resources. The study recommends adoption of the tool to support proactive network management.
2024 — Undergraduate
Design and Implementation of an E-Commerce Platform for Small Businesses in Nigeria
This study designed and implemented an E-Commerce Platform to enable small businesses in Nigeria to sell products online. Many small businesses rely on informal channels that limit their reach and hinder effective order and payment management. The platform allows vendors to create storefronts, list products with images and prices, and manage orders, while customers can browse, add to cart, and checkout. Adopting Agile methodology, the system was built with Node.js, Express, and MongoDB. Evaluation revealed improved market reach, streamlined ordering, and enhanced customer experience. The study recommends integration of secure online payment gateways and logistics partnerships to support scaling.
2024 — Undergraduate
Development of a Comprehensive School Management System for Secondary Schools
This study developed a Comprehensive School Management System to integrate the administrative functions of secondary schools, including student enrolment, staff records, class management, and academic records. The manual and fragmented methods of school administration lead to inefficiency and loss of information. The system centralises administrative processes and provides access to integrated modules for users of different roles. Built with Python Django and SQLite, the system was evaluated with school administrators and teachers. The findings demonstrated improved record keeping, faster generation of reports, and better coordination among school departments. The study recommends full adoption of the system to enhance the overall management of schools.
2024 — Undergraduate
Design and Implementation of an Online Examination Management System
This study designed and implemented an Online Examination Management System to modernise the conduct of examinations in educational institutions. The traditional paper-based approach is time-consuming, resource-intensive, and susceptible to errors and malpractices. The system enables lecturers to set and schedule objective and subjective questions, and students to take timed tests online with automatic marking and results. Built with PHP and MySQL, the system was tested for reliability, security, and usability with both students and lecturers. The findings revealed reduced examination administration overhead and faster release of results. The study recommends deployment of the system together with robust security and anti-fraud measures.
2024 — Undergraduate
Development of a Web-Based Task Scheduler and Reminder System
This study developed a Web-Based Task Scheduler and Reminder System to help individuals and organisations organise tasks, set deadlines, and receive timely reminders. The manual tracking of tasks often leads to missed deadlines and reduced productivity. The system allows users to create, prioritise, and schedule tasks, and to receive email and in-app reminders. Adopting the Systems Development Life Cycle, the system was built with Node.js, Express, and MongoDB. Evaluation revealed that the system improved task organisation, punctuality, and overall productivity among test users. The study recommends deployment of the system for personal and team use, and extension to mobile platforms.
2024 — Undergraduate
Design and Implementation of a Hospital Ward Management System for Healthcare Facilities
This study designed and implemented a Hospital Ward Management System to address the inefficiencies in managing patient admissions, bed allocation, and ward records in healthcare facilities. The manual approach was prone to errors, delays, and poor coordination among medical staff. The system allows staff to register patients, allocate beds, manage ward capacity, and track admission records. Built with Python Django and SQLite, the system was evaluated for functionality and usability with hospital staff. The findings revealed improved bed management, reduced admission processing time, and better availability of patient information. The study recommends adoption of the system to support efficient ward and bed management.
2024 — Undergraduate
Development of an Online Student Registration and Records System for Tertiary Institutions
This study developed an Online Student Registration and Records System to replace the manual, paper-based registration process common in Nigerian tertiary institutions. The system enables students to register for courses online, view their profiles, and check their enrolment status, while administrative staff manage student records and course allocations. Adopting a structured systems development methodology, the system was built with Node.js, Express, and MongoDB. Testing demonstrated reduced registration time, elimination of duplicate records, and improved accuracy of student data. The findings support the deployment of the system to streamline registration and enhance the reliability of student records management.
2024 — Undergraduate
Development of an E-Learning Management System for Nigerian Universities
This study developed and evaluated a web-based E-Learning Management System (LMS) for Nigerian universities, where the manual distribution of course materials and the recording of assessments have long been inefficient. The system enables lecturers to upload course materials and assignments, and students to view content, submit work, and access grades securely. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Node.js, Express, and MongoDB. The findings showed that the system significantly reduced the time taken to distribute materials and retrieve results, while achieving a high System Usability Scale score. The study recommends full deployment, periodic maintenance, and ongoing user training to maximise the benefits of the platform.
2024 — Undergraduate
Design and Implementation of an Algorithm Visualization Tool for Computer Science Education
This study designed and implemented an Algorithm Visualization Tool to support the teaching and learning of algorithms among Computer Science students. The tool animates sorting and searching algorithms step-by-step, allowing students to observe the internal behaviour of algorithms in real time. The study adopted an agile development approach and a mixed-methods evaluation involving students and lecturers. The system was built with JavaScript for the front-end visualisation and Python Flask for the back-end. Findings revealed that the tool improved students' comprehension of abstract algorithmic concepts and increased engagement during practical sessions. The study recommends integration of the tool into the computer science curriculum and extension to a broader range of algorithms.
2024 — Undergraduate
Design and Implementation of a Digital Library Management System for Academic Institutions
This study developed a Digital Library Management System to automate the cataloguing, circulation, and tracking of library resources in academic institutions. The manual system was characterised by slow book searches, loss of records, and difficulty in tracking borrowed items. The system allows librarians to manage books, members, and loans, and enables students to search the catalogue and view availability. Built with PHP and a MySQL relational database, the system was tested for functionality and usability with library staff and students. Findings showed a significant improvement in the speed of book searches and the accuracy of record-keeping. The study recommends deployment across the institution and the integration of an online public access catalogue.
2024 — Undergraduate
Design and Implementation of a Diabetes Prediction System Using Classification Algorithms
This study designed and implemented a Diabetes Prediction System that estimates the risk of diabetes from screening indicators such as glucose level, body mass index, and age. Early risk identification supports timely lifestyle and clinical interventions. The system applies classification algorithms to screening data and presents risk levels through a user-friendly interface. Built with Python Django and SQLite, the system was evaluated using a clinical screening dataset. Findings showed strong classification performance in identifying high-risk individuals. The study recommends adoption in community screening programmes and health awareness initiatives.
2025 — Undergraduate
Development of a Machine Learning-Based Email Spam Filtering System
This study developed a Machine Learning-Based Email Spam Filtering System to distinguish spam messages from legitimate correspondence. The volume of unsolicited email continues to burden users and network resources. The system extracts text and domain features, trains a classifier on a labelled corpus, and routes incoming messages accordingly. Built with PHP and MySQL, the system was evaluated with a balanced dataset of spam and ham messages. Findings showed high precision and recall in spam detection. The study recommends deployment at mail servers with periodic retraining to adapt to evolving spam patterns.
2025 — Undergraduate
Design and Implementation of a Loan Approval Prediction System Using Machine Learning
This study designed and implemented a Loan Approval Prediction System that assesses the likelihood of loan repayment based on applicant characteristics. Manual credit assessment is time-consuming and inconsistent across officers. The system applies classification algorithms to applicant data and produces approval recommendations with confidence scores. Built with Python Django and SQLite, the system was evaluated using historical loan records. Findings showed accurate prediction of approved and declined applications. The study recommends deployment as a decision-support tool within lending institutions, subject to responsible use and regulatory compliance.
2025 — Undergraduate
Design and Implementation of a Fake News Detection System Using Machine Learning
This study designed and implemented a Fake News Detection System that classifies news articles as genuine or false using text analysis. The rapid spread of misinformation on digital platforms poses serious social consequences. The system pre-processes article text, extracts relevant features, and applies classification models to determine credibility. Built with Python Django and SQLite, the system was evaluated using labelled news datasets. Findings revealed strong classification accuracy across article categories. The study recommends use of the system by news aggregators and social platforms together with human verification.
2025 — Undergraduate
Development of a Customer Churn Prediction System for Telecommunication Services
This study developed a Customer Churn Prediction System to identify telecommunication subscribers likely to terminate their service. Retaining existing customers is far more cost-effective than acquiring new ones, yet churn is often detected too late. The system analyses usage behaviour, demographics, and service data, and flags customers at high risk of churn. Built with Python Django and SQLite, the system was evaluated using a subscriber dataset. The findings showed reliable risk ranking and clear drivers of churn. The study recommends deployment to support targeted retention campaigns and proactive customer care.
2025 — Undergraduate
Design and Implementation of an AI-Based Credit Card Fraud Detection System
This study designed and implemented an AI-based Credit Card Fraud Detection System to identify suspicious transactions in real time. The growing volume of electronic payments has increased exposure to fraud, and rule-based screening alone is inadequate. The system applies machine learning classifiers trained on labelled transaction data to flag potentially fraudulent activity for review. Built with Python Django and SQLite, the system was evaluated against historical transaction records. Findings showed high detection accuracy and a low rate of false positives. The study recommends integration with banking systems and continuous model retraining to sustain performance.
2025 — Undergraduate
Design and Implementation of a Computer Vision-Based Traffic Monitoring System
This study designed and implemented a Computer Vision-Based Traffic Monitoring System that analyses traffic video feeds to estimate congestion levels and detect violations. Manual observation of traffic is labour-intensive and cannot provide real-time metrics across multiple points. The system processes video frames, counts vehicles, and classifies traffic density for display on dashboards. Built with Python Django and SQLite, the system was evaluated on recorded urban traffic footage. Findings confirmed reliable vehicle counting and density classification. The study recommends deployment for traffic management centres and integration with traffic light control.
2025 — Undergraduate
Development of an Intelligent Adaptive E-Learning System for Personalized Instruction
This study developed an Intelligent Adaptive E-Learning System that adjusts learning content and difficulty to the performance of each learner. Static online platforms present the same material to all learners regardless of ability, limiting engagement and outcomes. The system tracks learner progress, adapts lesson sequencing, and provides targeted remedial content based on performance data. Built with Node.js, Express, and MongoDB, the system was evaluated with students and lecturers. Findings indicated improved engagement, better mastery of concepts, and higher completion rates. The study recommends integration of the system into blended learning programmes.
2025 — Undergraduate
Development of a Machine Learning-Based Student Academic Performance Prediction System
This study developed a Machine Learning-Based Student Academic Performance Prediction System to forecast student outcomes using historical academic and demographic data. Early identification of students at risk of poor performance enables timely intervention. The system trains classification models on student records and produces performance predictions with explanatory indicators. Built with Python Django and SQLite, the system was evaluated using institutional data. The findings showed that the models reliably identified at-risk students, supporting proactive support. The study recommends adoption by academic advisers and periodic model refresh as new data become available.
2025 — Undergraduate
Design and Implementation of a Sentiment Analysis System for Customer Product Reviews
This study designed and implemented a Sentiment Analysis System that classifies customer product reviews as positive, neutral, or negative. Businesses struggle to interpret the large volume of unstructured review text generated by customers. The system applies text preprocessing and machine learning classifiers to derive overall sentiment from review collections. Built with Python Django and SQLite, the system was evaluated using labelled review datasets. Findings showed reliable sentiment classification and useful aggregation of customer opinions. The study recommends integration of the system into e-commerce platforms to inform decision-making.
2025 — Undergraduate
Development of an AI-Based Resume Screening and Candidate Selection System
This study developed an AI-Based Resume Screening and Candidate Selection System to assist human resource officers in shortlisting applicants for advertised positions. Reviewing large volumes of resumes manually is slow and subject to inconsistency. The system parses resume content, matches candidate attributes against job requirements, and ranks applicants using relevance scoring. Built with PHP and MySQL, the system was evaluated with sample job postings and applicant data. The findings demonstrated faster shortlisting and consistent ranking of candidates. The study recommends adoption of the system to support fair and efficient recruitment processes.
2025 — Undergraduate
Development of a Heart Disease Prediction System Using Machine Learning
This study developed a Heart Disease Prediction System that estimates the likelihood of heart disease from clinical risk factors such as age, blood pressure, and cholesterol. Late detection of cardiovascular risk contributes to high mortality. The system applies classification algorithms to patient records and presents risk scores through a web interface. Built with Python Django and SQLite, the system was evaluated using public clinical datasets. Findings indicated strong predictive performance and useful risk stratification. The study recommends the system as a decision-support aid for clinicians and health screening programmes.
2025 — Undergraduate
Design and Implementation of a Face Recognition-Based Attendance Management System
This study designed and implemented a Face Recognition-Based Attendance Management System to capture student attendance automatically and eliminate proxy registration. Manual roll-call is slow, unreliable, and consumes lecture time. The system detects and matches faces against enrolled records and timestamps attendance without physical contact. Built with Python Django and SQLite using computer vision libraries, the system was evaluated in a classroom environment. Results showed accurate recognition under controlled conditions and a significant reduction in attendance-taking time. The study recommends deployment with adequate lighting standards and periodic model updates.
2025 — Undergraduate
Development of an Expert System for Medical Diagnosis Support in Rural Health Centres
This study developed an Expert System for Medical Diagnosis Support targeted at rural health centres where qualified medical personnel are scarce. Using a rule-based knowledge base of symptoms and diseases, the system guides health officers through structured diagnosis and suggests probable conditions with recommended actions. The system was built with Node.js, Express, and MongoDB after eliciting knowledge from medical practitioners. Evaluation results showed that the system produced accurate suggestions on test cases and reduced the time required to reach a working diagnosis. The study recommends deployment alongside proper medical oversight and regular updating of the knowledge base.
2025 — Undergraduate
Design and Implementation of a Voice-Activated Smart Home Automation System
This study designed and implemented a Voice-Activated Smart Home Automation System that enables users to control household appliances using spoken commands. Manual and remote-only controls are inconvenient, particularly for persons with mobility challenges. The system converts speech to commands, interprets intent, and controls connected appliance modules, with status visible on a web dashboard. Built with Node.js, Express, and MongoDB, the system was evaluated in a simulated home environment. Results showed reliable command recognition and appliance control. The study recommends expansion to more appliance types and enhancement of voice recognition accuracy.
2025 — Undergraduate
Development of a Sign Language Recognition and Translation System
This study developed a Sign Language Recognition and Translation System to bridge the communication gap between deaf signers and hearing individuals. Direct translation by interpreters is expensive and not always available. The system captures hand gestures through a camera, recognises sign patterns, and translates them into text and speech. Built with Python Django and SQLite using gesture recognition models, the system was tested with a set of common signs. Results showed promising recognition accuracy for the trained vocabulary. The study recommends extension of the vocabulary and integration into assistive communication devices.
2025 — Undergraduate
Design and Implementation of an Intelligent Tutoring System for Secondary School Mathematics
This study designed and implemented an Intelligent Tutoring System for Secondary School Mathematics that provides step-by-step guidance and personalised feedback to learners. The shortage of qualified mathematics teachers and large class sizes limit individual attention. The system presents problems, evaluates learner responses, and offers tailored hints and remediation. Built with Node.js, Express, and MongoDB, the system was evaluated with students and teachers. Findings revealed improved problem-solving skills and greater learner confidence. The study recommends integration of the tutoring system into classroom instruction and periodic expansion of the problem bank.
2025 — Undergraduate
Development of an AI-Powered Email Spam and Phishing Detection System
This study developed an AI-Powered Email Spam and Phishing Detection System to protect users from unwanted and malicious emails. The growing sophistication of phishing attacks demands more than simple keyword filters. The system analyses email content and headers, applies classification models, and flags suspicious messages before they reach the inbox. Built with PHP and MySQL, the system was evaluated against labelled email corpora. Findings showed high detection rates for spam and phishing messages with few legitimate emails misclassified. The study recommends deployment as a gateway service with ongoing retraining against emerging threats.
2025 — Undergraduate
Development of a Movie Recommendation System Using Collaborative Filtering
This study developed a Movie Recommendation System that suggests films to users based on their viewing history and the preferences of similar users. Recommendation Systems reduce the difficulty of discovering relevant content in large catalogues. The system applies collaborative filtering techniques to generate personalised recommendations and lets users rate and provide feedback. Built with Node.js, Express, and MongoDB, the system was evaluated with a sample of users. Findings showed improved discovery of relevant movies and high user satisfaction. The study recommends extension to other content types and refinement of the recommendation algorithm.
2025 — Undergraduate
Design and Implementation of an Online House Price Prediction System
This study designed and implemented an Online House Price Prediction System that estimates property values from features such as size, location, and number of rooms. Accurate price estimation is useful to buyers, sellers, and agents in a fluctuating property market. The system trains regression models on historical property records and returns predicted prices with confidence indicators. Built with Python Django and SQLite, the system was evaluated using a dataset of property listings. Findings revealed low prediction error and reliable price estimates. The study recommends integration with real estate platforms and continuous updating of the training data.
2025 — Undergraduate