About the Journal

The International Journal of Practical Artificial Intelligence (IJPAI) is a Double-blind peer review Journal with bi-annual publication (June and December) by the Practical Artificial Intelligence Development Foundation. The journal is an outlet for specialised publications bordering on the areas of:

•       Machine Learning
•       Deep Learning & Neural Networks Architecture
•       Image Processing & Computer Vision
•       Text Analytics & Natural Language Processing
•       Big Data & Data Science
•       Ethical AI & Data Privacy

AIM

• To explore and disseminate information on the practical applications of AI tailored towards transforming Nigeria’s future.
• To promote the integration of artificial intelligence research outcomes into operational practices across industry, education, and governance.
• To establish a structured forum that fosters interdisciplinary exchange among computer scientists, engineers, psychologists, educators, policymakers, and practitioners.

CONTRIBUTORY FOCUS

• Original Research articles
• Interviews with AI Practitioners and Thought Leaders
• Technical Case Studies
• Applied Frameworks and Tool Kits
• Technical Case Studies
• Policy Briefs and Ethical Discussions.