Ugochukwu Onwudebelu
Alex Ekwueme Federal University Ndufu Alike

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An Intelligent Conversational Agent for Flood Risk Communication in a Flood-Prone Region of Nigeria Willie Ebipamobonumugha; Ugochukwu Onwudebelu; Efe Darel Kokogbiya; Justina Ogoja
Scientific Journal of Computer Science Vol. 2 No. 2 (2026): December Article in Process
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjcs.v2i2.2026.411

Abstract

Flooding remains one of the most devastating natural hazards in developing countries, with significant impacts on human lives, infrastructure, and livelihoods. In Nigeria, particularly in Bayelsa State, recurrent flooding events highlight the need for effective and accessible flood risk communication systems. However, existing approaches largely rely on static and non-interactive dissemination channels, limiting timely public engagement and response. This study addresses this gap by designing and implementing a conversational agent capable of providing real-time responses to frequently asked flood-related questions. The proposed system adopts a rule-based conversational framework supported by natural language preprocessing techniques, including tokenization and normalization, for query interpretation. A structured knowledge base containing flood preparedness and response information was developed for the study area. The system was evaluated using a set of 120 representative flood-related queries derived from domain-specific scenarios. Experimental results show that the chatbot achieved a response accuracy of 87.5% and a successful query handling rate of 90.8%. These findings demonstrate the feasibility of conversational agents as effective tools for enhancing flood risk communication and public awareness. The study contributes to the integration of artificial intelligence-driven solutions into disaster risk management and highlights the potential of chatbot systems in improving access to critical environmental information in resource-constrained settings.
An Escrow-Based Peer-to-Peer Online Payment System for Fraud Reduction Olugbemi Olusanjo Fasola; Ugochukwu Onwudebelu; Achu Edim Etta; Ali Harrison Ugadu
Methods in Science and Technology Studies Vol. 2 No. 1 (2026): June
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/msts.v2i1.2026.485

Abstract

The rapid growth of peer-to-peer (P2P) online commerce has intensified concerns related to trust and fraud, particularly in informal and social-media-driven marketplaces where buyers and sellers often transact without prior relationships. Conventional online payment systems largely rely on trust-based models that inadequately protect participants from fraudulent activities, leading to financial losses and reduced user confidence. This study presents the design and implementation of an escrow-based peer-to-peer online payment system (Escrow-BP2P) aimed at providing an escrow-mediated mechanism intended to reduce fraud risks and enhance transactional trust in P2P transactions. The escrow-BP2P system introduces a trusted third-party escrow mechanism that securely holds buyer payments until transaction conditions are fulfilled and the exchanged goods or services are verified. The system architecture supports buyer, seller, and administrator roles, incorporating payment verification, transaction monitoring, dispute handling, and controlled fund release. Object-Oriented Analysis and Design Methodology (OOADM) is adopted to ensure modularity, maintainability, and system scalability, while the implementation utilizes PHP and MySQL for web-based deployment. The solution is contextualized within the Nigerian e-commerce environment, where online fraud remains a significant challenge. The escrow-BP2P framework demonstrates how structured transaction mediation can improve transactional trust, minimize fraudulent practices, and provide an escrow-based payment management platform for P2P online commerce. The system offers practical insights for deploying trust-enhancing payment infrastructures in emerging digital marketplaces.