0704-883-0675     |      dataprojectng@gmail.com
1

1. An Assessment of Nurses' Knowledge and Practice of Cognitive Behavioral Therapy Techniques in Psychiatric Nursing at Federal Neuropsychiatric Hospital, Enugu

103

Background of the Study

Cognitive Behavioral Therapy (CBT) is a well-established, evidence-based psychotherapeutic approach effective in treating various mental health disorders, including depression, anxiety, and schizophrenia. In psychiatric nursing, the integration of CBT techniques enhances patient outcomes by addressing maladaptive thought patterns and behaviors. Nurses trained in CBT can provide structured interventions that promote coping strategies and improve mental health....

1-5 Chapters 50 Pages
Read more

2. The impact of continuous medical education on the performance of clinical nurses in Sokoto State.

103

Background of the Study

Continuous Medical Education (CME) is essential for healthcare professionals to maintain and enhance their knowledge, skills, and competencies. For clinical nurses, CME provides opportunities to stay updated with advancements in medical science, adopt evidence-based practices, and improve patient care quality. In regions like Sokoto State, where healthcare challenges are prevalent, CME can play a crucial role in addressing gaps in knowledge and practice among...

1-5 Chapters 50 Pages
Read more

3. An assessment of the effectiveness of reforestation programs in combating desertification in Damaturu Local Government Area, Yobe State

103

Background of the Study

Desertification is a critical environmental issue affecting many parts of Nigeria, particularly in the northeastern region. Damaturu, the capital city of Yobe State, is situated in a semi-arid zone where desertification has led to soil degradation, reduced agricultural productivity, and loss of biodiversity. Reforestation programs, which involve the planting and nurturing of trees, have been widely promoted as a sustainable solution to combat desertification...

1-5 Chapters 50 Pages
Read more

4. THE IMPACT OF MACHINE LEARNING IN PREDICTING STOCK MARKET TRENDS IN NIGERIA: A CASE STUDY OF ABUJA STOCK EXCHANGE

103

Background of the Study

The stock market is a vital component of economic growth, providing a platform for investment and capital mobilization. However, predicting stock market trends remains one of the most complex and challenging tasks due to the dynamic and volatile nature of financial markets. In Nigeria, where the stock market serves as a critical indicator of economic health, accurate predictions can significantly impact investment decisions and market stabili...

1-5 Chapters 50 Pages
Read more

5. THE ROLE OF ARTIFICIAL INTELLIGENCE-BASED CREDIT SCORING FOR AGRICULTURAL LOANS: A CASE STUDY OF BANK OF AGRICULTURE, KATSINA STATE

103

Background of the Study

Agriculture is the backbone of Nigeria's economy, employing over 70% of the population and contributing significantly to the country’s GDP. However, access to credit remains a significant challenge for farmers, particularly smallholders who often lack the collateral or credit history required by traditional financial institutions. This credit gap undermines agricultural productivity and limits the sector's potential to drive eco...

1-5 Chapters 50 Pages
Read more

6. THE IMPACT OF ARTIFICIAL INTELLIGENCE ON RISK ASSESSMENT IN INSURANCE FIRMS: A CASE STUDY OF LEADWAY ASSURANCE, ABUJA, FCT

103

Background of the Study

Risk assessment is a critical component of the insurance industry, determining the pricing of premiums, underwriting decisions, and the overall sustainability of insurance firms. Traditionally, risk assessment has relied on historical data, manual processes, and human expertise. However, these methods often face limitations in accuracy, efficiency, and scalability, especially as data sources expand and risks become more complex.

Art...

1-5 Chapters 50 Pages
Read more

7. THE USE OF ARTIFICIAL INTELLIGENCE IN COMBATING INFECTIOUS DISEASES: A CASE STUDY OF KADUNA STATE GENERAL HOSPITAL

103

Background of the Study

Infectious diseases continue to pose a significant threat to global health, particularly in developing countries like Nigeria. Diseases such as malaria, tuberculosis, and HIV/AIDS remain leading causes of morbidity and mortality, especially in regions like Kaduna State, where access to healthcare is often limited. Early detection, timely intervention, and effective disease surveillance are critical to controlling infectious diseases, yet thes...

1-5 Chapters 50 Pages
Read more

8. THE USE OF ARTIFICIAL INTELLIGENCE ROBOTICS IN OPTIMIZING SURGICAL PROCEDURES: A CASE STUDY OF NATIONAL ORTHOPEDIC HOSPITAL, KANO STATE

103

Background of the Study

Surgical procedures are a cornerstone of modern healthcare, requiring precision, expertise, and often, innovative approaches to achieve optimal outcomes. However, challenges such as surgical errors, prolonged procedure durations, and limited access to skilled surgeons in developing countries continue to hinder the efficiency and effectiveness of surgical care. In Nigeria, facilities like the National Orthopedic Hospital in Kano State cater to...

1-5 Chapters 50 Pages
Read more

9. AN ASSESSMENT OF THE ROLE OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN MANAGING PATIENT RECORDS: A CASE STUDY OF FEDERAL MEDICAL CENTER, GOMBE STATE

103

Background of the Study

Effective management of patient records is critical to delivering quality healthcare services. Accurate and accessible medical records facilitate informed clinical decisions, improve continuity of care, and enhance the overall efficiency of healthcare systems. However, in many Nigerian healthcare facilities, record management remains largely manual, leading to inefficiencies such as misplaced files, delayed access to information, and compromi...

1-5 Chapters 50 Pages
Read more

10. THE IMPACT OF ARTIFICIAL INTELLIGENCE-DRIVEN EARLY DETECTION OF NON-COMMUNICABLE DISEASES: A CASE STUDY OF UNIVERSITY OF MAIDUGURI TEACHING HOSPITAL, BORNO STATE

103

Background of the Study

Non-communicable diseases (NCDs), such as diabetes, hypertension, and cancer, are major contributors to global mortality and morbidity. The World Health Organization (WHO) reports that NCDs account for approximately 74% of deaths worldwide, with a disproportionate impact in low- and middle-income countries. In Nigeria, the burden of NCDs is rising due to changing lifestyles, aging populations, and limited preventive healthcare systems. Early...

1-5 Chapters 50 Pages
Read more

11. THE ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING MATERNAL HEALTH SERVICES IN RURAL COMMUNITIES: A CASE STUDY OF PRIMARY HEALTH CENTERS IN ZAMFARA STATE

103

Background of the Study

Maternal health remains a significant public health challenge in Nigeria, particularly in rural areas like Zamfara State. The maternal mortality rate in Nigeria is one of the highest globally, with rural communities disproportionately affected due to limited access to quality healthcare services. Contributing factors include inadequate healthcare infrastructure, shortages of trained personnel, and cultural barriers to accessing maternal healt...

1-5 Chapters 50 Pages
Read more

12. THE IMPACT OF ARTIFICIAL INTELLIGENCE IN AUTOMATING REAL ESTATE TRANSACTIONS: A CASE STUDY OF PROPERTY AGENCIES IN ABUJA, FCT

103

Background of the Study

The real estate sector is a vital component of economic development, contributing significantly to urbanization, infrastructure growth, and wealth creation. In Nigeria, real estate transactions often involve lengthy processes, bureaucratic inefficiencies, and high costs. For property agencies in Abuja, these challenges are compounded by issues such as fraud, inadequate record-keeping, and a lack of transparency. These inefficiencies not only...

1-5 Chapters 50 Pages
Read more

13. THE ROLE OF ARTIFICIAL INTELLIGENCE IN OPTIMIZING FOOD DISTRIBUTION DURING CRISES: A CASE STUDY OF RELIEF AGENCIES IN ZAMFARA STATE

103

Background of the Study

Food insecurity is a significant challenge in Zamfara State, driven by armed conflict, population displacement, and climate change. During crises, the efficient distribution of food is crucial to saving lives and ensuring equitable access to resources. Traditional food distribution systems often face inefficiencies, such as resource misallocation, logistical delays, and challenges in identifying and reaching the most vulnerable populations.

1-5 Chapters 50 Pages
Read more

14. AN EVALUATION OF ARTIFICIAL INTELLIGENCE-POWERED EDUCATIONAL TOOLS FOR DISPLACED CHILDREN: A CASE STUDY OF IDP CAMPS IN BORNO STATE

103

Background of the Study

The Boko Haram insurgency and other forms of violence in Northeast Nigeria have displaced millions of people, with Borno State being one of the most affected regions. Internally Displaced Persons (IDP) camps house thousands of children who face significant challenges in accessing quality education. Conventional education systems often fail to meet the unique needs of these children due to resource shortages, overcrowded classrooms, and a lac...

1-5 Chapters 50 Pages
Read more

15. EXAMINING THE ROLE OF ARTIFICIAL INTELLIGENCE IN URBAN WASTE MANAGEMENT SYSTEMS: A CASE STUDY OF JOS WASTE DISPOSAL AUTHORITY, PLATEAU STATE

103

Background of the Study

Urban waste management is a pressing challenge in many cities worldwide, including Jos, Plateau State. Rapid population growth, urbanization, and inadequate waste disposal systems have resulted in poor sanitation, environmental degradation, and public health risks. Traditional waste management methods in Jos, such as manual collection and landfilling, are often inefficient and unsustainable. These challenges necessitate the adoption of innova...

1-5 Chapters 50 Pages
Read more

16. THE IMPACT OF ARTIFICIAL INTELLIGENCE IN MONITORING DEFORESTATION TRENDS: A CASE STUDY OF FOREST RESERVES IN TARABA STATE

103

Background of the Study

Deforestation is a critical environmental issue globally, contributing to climate change, biodiversity loss, and disruption of ecosystems. In Nigeria, forest reserves in Taraba State face significant threats from illegal logging, agricultural expansion, and infrastructure development. These activities not only deplete forest cover but also reduce the ability of ecosystems to sequester carbon, regulate water cycles, and support diverse plant a...

1-5 Chapters 50 Pages
Read more

17. AN EVALUATION OF THE ROLE OF ARTIFICIAL INTELLIGENCE IN FLOOD PREDICTION AND EARLY WARNING SYSTEMS: A CASE STUDY OF RIVER NIGER BASIN, NIGER STATE

103

Background of the Study

Floods are among the most devastating natural disasters, affecting millions of lives annually and causing significant economic losses. In Nigeria, the River Niger Basin in Niger State is particularly vulnerable to flooding due to its geographical location, seasonal rainfall patterns, and human activities such as deforestation and improper urban planning. Frequent flooding in the region results in the displacement of communities, loss of prope...

1-5 Chapters 50 Pages
Read more

18. ARTIFICIAL INTELLIGENCE APPLICATIONS IN WASTE-TO-ENERGY CONVERSION: A CASE STUDY OF SOKOTO STATE WASTE MANAGEMENT AGENCY

103

Background of the Study

Waste-to-energy (WTE) conversion is a process that transforms waste materials into usable energy, such as electricity, heat, or biofuels. It offers a sustainable solution to two pressing global issues: waste management and energy generation. Developing countries like Nigeria, which face mounting waste management challenges and energy deficits, stand to benefit significantly from WTE technologies. However, the complexity of waste composition a...

1-5 Chapters 50 Pages
Read more

19. EVALUATING SMART ENERGY METERS AND ARTIFICIAL INTELLIGENCE FOR MONITORING CONSUMPTION: A CASE STUDY OF RESIDENTIAL ESTATES IN NIGER STATE

103

Background of the Study

The efficient monitoring and management of energy consumption are crucial for optimizing energy use and reducing wastage, particularly in residential areas where energy demand is rising. Traditional energy meters provide limited insights, often only displaying cumulative usage without real-time data or actionable feedback. This inefficiency contributes to excessive energy use, higher bills for consumers, and challenges in balancing demand and...

1-5 Chapters 50 Pages
Read more

20. THE IMPACT OF ARTIFICIAL INTELLIGENCE SYSTEMS IN REDUCING TRANSMISSION LOSSES: A CASE STUDY OF POWER HOLDING COMPANY OF NIGERIA, KADUNA STATE

103

Background of the Study

Electricity transmission losses remain a significant challenge in the energy sector globally, particularly in developing countries like Nigeria. Transmission losses occur when a portion of generated electricity dissipates as heat during its transfer from power plants to end-users through transmission and distribution networks. These losses result in inefficiencies, increased operational costs, and a reduced capacity to meet consumer demands....

1-5 Chapters 50 Pages
Read more

21. THE ROLE OF ARTIFICIAL INTELLIGENCE SIMULATIONS IN ENHANCING CYBERSECURITY AWARENESS: A CASE STUDY OF SECONDARY SCHOOLS IN KATSINA STATE

103

Background of the Study

Cybersecurity threats, such as phishing, malware, and social engineering, are becoming increasingly prevalent, with younger populations emerging as significant targets. As secondary schools across Nigeria adopt digital tools for learning, they inadvertently expose students and staff to potential cybersecurity risks. Cybersecurity awareness is critical for safeguarding sensitive data, preventing breaches, and fostering responsible online behav...

1-5 Chapters 50 Pages
Read more

22. THE IMPACT OF ARTIFICIAL INTELLIGENCE FOR ENDPOINT PROTECTION IN GOVERNMENT INSTITUTIONS: A CASE STUDY OF KADUNA STATE ICT HUB

103

Background of the Study

As digitalization becomes integral to government operations, securing endpoints—the devices and systems that access an organization's network—has become critical. Government institutions are prime targets for cyberattacks due to the sensitive nature of the data they handle. Endpoint protection involves safeguarding these devices, such as computers, servers, and mobile devices, against malicious activities, unauthorized access...

1-5 Chapters 50 Pages
Read more

23. THE IMPACT OF ARTIFICIAL INTELLIGENCE TOOLS IN ENHANCING AQUACULTURE: A CASE STUDY OF FISH FARMS IN NIGER STATE

103

Background of the Study

The global aquaculture industry has witnessed remarkable growth over the past few decades, driven by an increasing demand for fish as a major source of protein. With the growing population and diminishing capture fisheries, aquaculture has become an essential component of food security, particularly in developing nations like Nigeria. However, the industry faces significant challenges, including disease outbreaks, inefficient feeding practice...

1-5 Chapters 50 Pages
Read more

24. THE IMPACT OF REAL-TIME VEHICLE TRACKING USING AI SYSTEMS: A CASE STUDY OF GIG LOGISTICS, ABUJA, FCT

103

Background of the Study

The logistics industry plays a crucial role in the supply chain, ensuring the timely and efficient movement of goods. However, operational inefficiencies such as vehicle delays, theft, and mismanagement pose significant challenges. GIG Logistics, a leading logistics company in Nigeria, has embraced real-time vehicle tracking as part of its strategy to enhance service delivery.

Real-time vehicle tracking using Artificial Intelligence...

1-5 Chapters 50 Pages
Read more

25. THE IMPACT OF ARTIFICIAL INTELLIGENCE-DRIVEN TRAFFIC FLOW MANAGEMENT SYSTEMS: A CASE STUDY OF JOS CITY, PLATEAU STATE

103

Background of the Study

Urban areas worldwide face significant challenges related to traffic congestion, and Jos City, Plateau State, is no exception. Increasing population growth, urbanization, and vehicular activities have escalated traffic congestion, resulting in delays, environmental pollution, and economic losses. Traditional traffic management systems, reliant on manual controls and static infrastructure, struggle to address the complexities of modern traffic...

1-5 Chapters 50 Pages
Read more
whatsapp