Design and implementation of a web based student collaborative library (a case study of school of information and communication technology, federal university of technology minna, niger state)
Table Of Contents
Project Abstract
Library has been a very important aspect of educational and information sector of any institution. The success/failure of any library largely depends on proper management. So many libraries have suffered failure because of the inadequate management in handling information as customer-based and delivery-based complaints. Processes and systems of complaint handling are discussed in context of continuous improvement and problem solving. In addition, methodologies and models supporting employee empowerment are discussed. The main purpose of this study is to create an interface solution to unify communication between a team of operative purchasing and the customer in order to improve data acquisition and utilization within decision-making. The most critical elements of this study pertain to analysing the present state, choosing the correct system for complaint management, and designing documents to support the communication towards both suppliers and customers.
The study was carried out in the form of focused interviews. At an early stage employees from different positions were interviewed for relevant background information. In addition, current processes were studied both from quantitative and qualitative point of view and the performance was evaluated in comparison against two other teams alike. Managerial interviews had an important role in the development process from a strategic point of view.
regards members and users of the library. It’s now therefore aim at developing a web-based student collaborative library, which will help direct and position library
to meet its ever increasing demands in higher institution, Federal University of Technology, Minna (FUTMinna) as a case study. In the course of the development of this new system, the current system was analytically and critically studied or assessed and thus the identified strengths and weaknesses were highlighted and a new system was designed for the weakness. PHP, a web programming language was used to code the program modules developed for the system while Microsoft access was used for the database.
Project Overview
Blazingprojects Mobile App
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery
Related Research
Predicting Disease Outbreaks Using Machine Learning and Data Analysis...
The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...
Implementation of a Real-Time Facial Recognition System using Deep Learning Techniqu...
The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...
Applying Machine Learning for Network Intrusion Detection...
The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...
Analyzing and Improving Machine Learning Model Performance Using Explainable AI Tech...
The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...
Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems...
The project topic, "Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems," focuses on the integration of machine learn...
Anomaly Detection in Internet of Things (IoT) Networks using Machine Learning Algori...
Anomaly detection in Internet of Things (IoT) networks using machine learning algorithms is a critical research area that aims to enhance the security and effic...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Anomaly detection in network traffic using machine learning algorithms is a crucial aspect of cybersecurity that aims to identify unusual patterns or behaviors ...
Predictive maintenance using machine learning algorithms...
Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...
