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18 articles for “API key”
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Parcel Delivery & Journey Companion Finder
Abstract: The idea of the project is to provide an interactive platform for people to help each other to carry their parcels from one place to another. The platform even provides a feature for finding a travel companion for the journey and thus helps in reducing their expenses. The parcel delivery and journey companion finder is a web-based system designed primarily for the users, so that they can find parcel services …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 31–40 Read article
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Taskpro AI: Redefining Small Business Content Creation Through Advanced AI Innovation
Abstract: TaskPro AI is a chatbot made using the GPT-4.0 API key to revolutionize textual content creation for small businesses. Harnessing the power of generative AI, TaskPro AI is a versatile tool for generating various writing works, including blog posts, product articles, social media captions, and more. The chatbot streamlines content creation by providing users with an intuitive interface, making it effortless to articulate their ideas, thanks to its advanced capabilities. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 7–13 Read article
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Non-Destructive Examination Protocols in API 650 for Welded Storage Tank Fabrication: A Comprehensive Review
Abstract: The storage tanks play vital roles in industrial sectors, including oil and gas, manufacturing, and chemical processing by enabling safe containment of liquids and gases during key operations like production, treatment, refining, transport/distribution, and inventory control. API 650 standard is a worldwide recognized specification that covers the design and manufacturing criteria for large, welded steel storage tanks. API 650 ensures that tanks are built to withstand internal pressures and environmental …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 29–60 Read article
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Advanced Airline Operations Control System Using NodeJS
Abstract: This research paper presents the development of an Advanced Airline Operations Control System (AAOCS) using NodeJS, a lightweight and scalable JavaScript runtime environment. Leveraging NodeJS's event-driven architecture and non-blocking I/O model, the system facilitates efficient management of flight operations, crew scheduling, resource allocation, and real-time decision-making in the aviation industry. Key features include real-time decision support tools, a microservices-based architecture for scalability, integration with external data sources and APIs, and …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 45–51 Read article
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Smart Management of EV Charging Station Using AI Chatbot & TOM API
Abstract: This paper endeavors to address the pressing challenges associated with EV charging by proposing a comprehensive smart management system for EV charging stations. The system aims to streamline the EV charging process, making it more accessible, convenient, and sustainable for users. By harnessing the power of renewable energy sources, particularly photovoltaic systems, the paper seeks to mitigate the environmental impact of EV charging while simultaneously optimizing resource utilization. Through innovative …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 16–23 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Ensuring Pipeline Longevity: Key Factors for Durability in the Oil and Gas Industry
Abstract: This article explores the durability of pipes in the oil and gas industry, focusing on critical aspects such as remaining life, anti-wax coatings, life extension strategies, and the implications of oil spills and leaks. Corrosion is identified as a significant threat to pipeline integrity, influenced by various corrosive substances. Standards like API 581 and API 571 help assess corrosion rates and remaining life of pipelines transporting different crude oils. Additionally, …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 19–24 Read article
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In Silico Analysis and Molecular Docking Studies of COX-2 Inhibitors for Anti-Inflammatory Activity
Abstract: Although nonsteroidal anti-inflammatory drugs (NSAIDs) are frequently used to treat pain, lower fevers, and control inflammation, they frequently cause gastrointestinal side effects because they inhibit the COX-1 and COX-2 enzymes. Despite their effectiveness and lack of gastrointestinal side effects, selective COX-2 inhibitors have been linked to cardiovascular risks. To find new COX-2 inhibitors that are safer and more effective, this study uses in silico techniques, such as molecular docking and …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 38–55 Read article
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AI-Optimized Itinerary Design: Transforming the Future of Travel Planning
Abstract: The travel industry is struggling to meet the rising demand for efficient and personalized trip planning. Traditional methods often lack real-time updates and fail to adapt to individual preferences, necessitating innovative solutions. This study presents an AI-powered travel planner utilizing the Gemini API to enhance itinerary creation. By analyzing user preferences, interests, and real-time data, the system delivers tailored travel recommendations. Leveraging advanced technologies such as cloud computing, machine learning, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 74–82 Read article
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Building Scalable Microservices with Micronaut, Kotlin, and AWS DynamoDB: A Comprehensive Architecture Study
Abstract: The evolution of enterprise software has trended steadily toward microservice architectures due to their inherent scalability and resilience advantages over monolithic systems. This research explores a comprehensive implementation approach using Micronaut, an innovative JVM-based framework specifically designed for resource-efficient microservices. The study combines Micronaut with Kotlin programming language and leverages AWS DynamoDB as a scalable NoSQL persistence layer, with Apache Kafka providing event-driven communication capabilities. We explore the critical role …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 40–57 Read article
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Exploring Oroxylum indicum Phytochemicals as VEGFR-2 Inhibitors: A Molecular Docking Approach for Cancer Management
Abstract: Cancer is still a major health problem around the world and is one of the top causes of death. A protein called VEGFR-2 (vascular endothelial growth factor receptor 2) is important because it helps blood vessels grow by supporting the survival, movement, and growth of certain cells. This process is essential for tumors to grow and spread to other parts of the body. This study focused on evaluating the binding …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 48–62 Read article
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Agile Modeling and Building an Inclusive Online Coding Platform for Programming
Abstract: The integration of agile modeling principles within professional programming emphasizes the development of online coding platforms tailored to meet the diverse needs of computer science and engineering students. This study introduces an agile-based, API-integrated J2EE online coding platform, designed to create a sophisticated and user-friendly environment for seamless programming practice, particularly focusing on Java programming. The platform offers real-time tracking of programming progress and enhances the understanding of complex coding …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 33–42 Read article
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Repurposing Liv-52 For Primary Sclerosing Cholangitis: A Computational Docking And Pharmacokinetic Study To Evaluate Its Bile Flow-Regulating Potential
Abstract: Primary Sclerosing Cholangitis (PSC) is a long-term liver disease where the bile ducts become inflamed and scarred over time. This scarring can block the flow of bile, leading to liver damage and, eventually, liver failure. The etiology of PSC remains largely unknown, and current treatment options are limited, highlighting the need for novel therapeutic strategies. This study aims to repurpose Liv-52, a traditional herbal formulation known for its hepatoprotective properties, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Real-Time Multilanguage Platform with Encryption
Abstract: The proposed system, titled “Real-Time Multilanguage Platform With Encryption”, is designed to enable fast, reliable, and secure communication across various languages without relying on any third-party APIs. It utilizes a built-in audio-to-text conversion mechanism that processes spoken input using Python-based libraries like Speech Recognition or OpenAI’s Whisper, ensuring high accuracy in transcriptions. Once the audio is converted to text, the platform employs an offline translation engine to convert the transcribed …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Assessment of Factors Affecting Telebirr (Mobile Money) Project Implementation in the Case of Ethio Telecom Sector
Abstract: Background: Mobile money services facilitate financial transactions through mobile devices, reducing dependence on physical cash and promoting financial inclusion. The Telebirr Mobile Money project by Ethio Telecom is a key initiative in this domain. Objective: This study aims to examine the factors influencing the successful implementation of the Telebirr Mobile Money project within Ethio Telecom. Methods: A census survey was conducted among 75 project team employees at the Lebu and …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 13–19 Read article
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Factors Affecting Shear Stress on Tablet Hardness and Disintegration
Abstract: The quality and effectiveness of pharmaceutical tablets depend heavily on several factors influencing shear stress on tablet hardness and disintegration. These factors include formulation composition, wherein the selection and concentration of excipients and active ingredients affect how the tablet material responds to shear stress. Additionally, the compression force, speed, and duration during tablet compression are critical, impacting tablet hardness and disintegration properties. Tablet geometry and design, along with tablet press …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 1–19 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article