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This paper introduces a proposed Near Field Communication (NFC) based smart access control system. The system utilizes a server built on Spring Boot, an Android-based client, and a hardware lock powered by Raspberry Pi to create a robust smart access control mechanism. Through innovative system design,...

The new trend in the healthcare business of AI-driven telemedicine combines the opportunities of ML for remote patient therapy, the use of built-in artificial intelligence algorithms enables accurate diagnosis, designing of unique patient plans, and efficient patient monitoring while providing telemedicine...

English language learners face difficulties in pronunciation, grammar, vocabulary, and fluency. Existing digital tools offer general assistance but fail to adapt to individual learner needs. To address this gap, we propose an AI-powered adaptive learning coach that integrates automatic speech recognition,...

This study explores the transformative role of mobile applications in empowering smallholder farmers by addressing key challenges such as restricted access to real-time agricultural information, inefficient market linkages, financial exclusion, and suboptimal resource utilization. The research highlights...

The rapid pace of growth in modern startups requires highly adaptive strategies that can handle constant change and increasing complexity. This paper investigates how autonomous AI agents, powered by advanced code generation capabilities, can revolutionize project management in fast-growing companies....

The automotive industry requires a strategic change to electric vehicles (EVs) and BMW has emerged as a leader in shifting toward sustainable transportation. BMWs have gradually shifted from traditional gasoline-powered vehicles to EVs through a series of drivers that include environmental rules and...

Medication education is a crucial link in improving public health literacy and ensuring medication safety. However, traditional medication education models mostly rely on written manuals and oral lectures, which suffer from problems such as dull content, monotonous format, and insufficient targeting,...

In recent years, artificial intelligence (AI) technology and theory have developed rapidly, especially in AI-powered simultaneous interpretation which can be 90% accurate. Consequently, many Chinese teachers for foreigners are confronted with the trouble of being replaced by machines. This article aims...

Today, digital diasporas pave the brightest way for immersive dimensional environments, and the implications have transcended education and botanical domains. With increasing interests in culture and healthcare literacy, Virtual Herbal Gardens emerge as accessible and engaging learning resources. Promising...

The voices synthesized by AI, as well as deepfake audio applications, are a significant threat to identification software and the credibility of an individual, allowing fraud, deception, and fake news. This is getting more difficult to detect fake voices as synthetic speech gets more realistic.The proposed...

Voice chatbots powered by Artificial Intelligence have been shown to significantly improve university students’ oral reading fluency, highlighting AI’s potential in spoken language learning (Mingyan et al., 2025). Building on this understanding, the present study investigates the impact of AI tools on...

Bangladesh’s deforestation and land degradation pose a threat to biodiversity, calling for automation to facilitate effective reforestation. The research introduces Seedobot, a smart, locally manufactured forestation robot to improve seeding efficiency through machine learning. Built with locally sourced...

Based on the current complex climate environment, this paper reviews and analyzes the application of artificial intelligence (AI) and 3D printing technology in energy efficient vehicles. It first introduces the current background of global warming caused by increasing carbon emissions, in which the production...

The exponential growth of data in modern systems presents significant challenges for data engineering, requiring innovative approaches to optimize data ingestion, transformation, storage, and quality assurance. This article explores how AI-driven optimization techniques are transforming data engineering...

The integration of artificial intelligence and machine learning into trading is significantly transforming financial markets, often surpassing traditional methods in terms of efficiency and accuracy. This paper presents a comprehensive study that encompasses a systematic literature review of algorithmic...

Microteaching remains a cornerstone in teacher education for fostering pedagogical skills among pre-service teachers. Despite its widespread application, the process often lacks objective, timely, and actionable feedback crucial elements for meaningful improvement. This study aims to integrate deep learning...

In today’s fast-paced society, women’s safety is still a major concern despite the tremendous improvements in technology. In addition to having a physical and psychological impact on victims, the rise in harassment, assault, and gender-based violence also imposes broader socioeconomic difficulties by...

In this study, the system proposed by the researcher is Sahayak, an AI-based learning solution that seeks to automate the process of learning content creation and academic performance analysis of students in schools and colleges. Teacher can create class and subject, and then the in-built AI module automatically...

With the increasing volume of structured data across enterprises, efficient data retrieval and analysis have become critical challenges. This paper presents an AI-powered document chatbot that enables seamless data access using a Retrieval-Augmented Generation (RAG) architecture. The chatbot leverages...

This paper explores the strategic integration of Artificial Intelligence (AI) in higher education to enhance graduate employability skills. As technological advancement reshapes the workforce, educational institutions must adapt their teaching and learning approaches to prepare graduates for the 21st-century...

The need for energy mindful manufacturing frameworks that minimize carbon emissions while balancing productivity and operational reliability has gained traction, alongside the need for the adoption of sustainable industry practices. Traditional manufacturing facilities rely on fossil fuel powered grids...

In contemporary businesses, managing the increasing number of issues and complaints by hand frequently leads to delays and inefficiencies. To solve this, we suggest an AI-powered system that automatically analyzes and ranks text-based inputs from emails, tickets, and feedback using Natural Language Processing...

A metaverse is a collection of interconnected and immersive virtual worlds that provide users with a sense of presence through agency and influence. The fundamental technologies required for the metaverse—augmented and virtual reality, head-mounted displays, 3D simulations, and AI-powered virtual environments—are...

Environmental, social, and governance (ESG) performance is crucial for business transformation in sustainable development, which is consistent with management science’s emphasis on strategic decision-making. We examine the impact of short selling on ESG efficiency using data from Chinese heavy-pollution...

Terrestrial Microbial Fuel Cells (TMFCs) can be inoculated and work using of soil, which overcomes the shortcomings of Aquatic Microbial Fuel Cells (AMFCs) and extends application areas of MFCs. Energy supply, as a primary influential factor determining the lifetime of Wireless Sensor Network (WSN) nodes,...

Research in flexible materials and conductive nanomaterials has advanced the development of flexible pressure sensors. These sensors combine flexibility while converting pressure into measurable electrical signals. Hence their value in areas such as artificial skin, medical detection, and human-computer...

Tricycles (“aboboyaa”) are vital and common for transport in Ghana’s rural and peri-urban areas but their internal combustion engines emit greenhouse gases, cause noise pollution, and incur high maintenance costs. This study examines the technical and economic feasibility of retrofitting such tricycles...

AI is revolutionizing the education sector with personalized learning pathways, adaptive curriculum development, and virtual collaboration tools. But research in this area is mostly theoretical, limited in scope, and unproven in real life. This study addresses this gap by creating and deploying future-proof...

The integrated development of the modern urban environment, in accordance with the trend towards digitalization of socio-economic relations, is closely related to the concept of a digital twin. The use of this concept long before its final formation was reflected in the field of economic modeling, however,...

The presence of diseases in plant leaves poses a serious challenge to agricultural productivity, often leading to considerable financial losses. Identifying and diagnosing these diseases at an early stage is essential for effective crop management. This study introduces an advanced method for automated...

Industrial robots play a pivotal role in modern manufacturing by significantly enhancing production efficiency, product quality, and operational safety while reducing labor costs. However, traditional industrial robots face limitations in flexible production and rapid changeover, prompting the development...

The following is a qualitative research that employs multiple methods to analyze and describe the position of artificial intelligence in the field of digital marketing, utilizing Indonesian SMEs as study cases for reference. The emergence of artificial intelligence powered software such as ChatGPT transformed...

In this paper, a cutting-edge controller and drivetrain architecture for a renewable energy source (RES) powered Electric Vehicle (EV) has been proposed. Hall-Effect position sensor-less brushless dc (BLDC) motor drives frequently experience delayed commutation at low/high speeds. Conventional control...

The China-Indonesia partnership is pivotal for the global new energy industry, driven by Indonesia’s vast nickel reserves for electric vehicle (EV) batteries. This study provides a comprehensive review of the current opportunities and challenges within this collaboration, analyzing Indonesia’s sustainable...

Providing security system for every electronic data exchange through internet as the unsecured medium has become an essential regulation. Conventional Caesar Cipher had less computation complexity than other security method that really appropriate with low powered device requirement. However, it is susceptible...

Covid-19 Pandemic effects rural and indigenous area that is hard and far to reach by vehicles. Most of the medical deliveries to this remote area is done on foot and taken days to reach destination. Vaccine consistency is affected by their ambient temperature and duration of exposure to adverse temperature...

For a conventional powered underwater vehicle, different use modes of power system have great influence on important technical performance indexes such as underwater range and underwater endurance time. First of all, this paper attempted to study the modeling method of the core energy module for the...

Along with the growth of the Chinese economy, China is apt to have increasingly significant position in the global markets. It's always one key for China to win a pivotal position among nations by internationalizing the currency. Several acts during this process, including accepting the market-linked...

With the rapid development of artificial intelligence technology, integrating AI-powered tools in the field of education has become a promising research direction. This paper discusses the advantages of using ChatGPT in teaching high school information technology courses, including learning diagnosis,...

Entrepreneurial ventures are witnessing a fundamental shift in their talent management practices as Artificial Intelligence (AI) trans-forms traditional Human Resource Management (HRM) approaches. This study presents a systematic review of AI driven HR solutions tailoredfor startups, analyzing their...

There is growing concern about energy consumption, scalability, and environmental sustainability with the rising demand for artificial intelligence (AI) in digital communications, resource management, and technological innovations. Prior works primarily offer theoretical models, a lack of standardized...

The Student AI Chatbot is at the forefront of issues which today’s students face in the digital age we see an exponential growth of digital educational resources which in turn overloads the students’ access points, which in turn produces fragmented information and inefficient study practices. Also we...

Research purpose: This study examines the behavioral intention and actual usage of AI-powered learning tools among university students by integrating the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), with Fear of Missing Out (FOMO) included as a moderating...

The Solar Power Plant (PLTS) is a solution to the fossil fuel/oil energy crisis. Oebau Village, in Pantai Baru District, Rote Ndao Regency, covering an area of 1,280.1 hectares, has around 800 hectares of rainfed rice fields. Through the village fund program, reservoirs have been built to collect water...

Customer experience optimization is a new business need area that keeps resurfacing, and emotionally intelligent AI-based products aid in designing your customer’s overall journey making them better. Hence, this research presents AI-driven customer experience enhancement framework that blends deep learning-based...

This study investigates the efficacy of “Sinolingo”, a customized translation platform designed for traditional Chinese culture and powered by DeepSeek, in supporting autonomous translation learning. The paper elaborates on the platform’s design philosophy and core architecture, introducing the “TRICE”...

With the increasing prevalence of epidemic respiratory diseases and lung cancer in recent years, intelligent diagnostic technologies based on chest X-ray (CXR) image recognition have become a research focus. The breakthrough development of deep learning has provided a new paradigm for automatic CXR image...

The government assistance policies program in Barru District include policies for fishing gear for outboard motor fishermen and outboard engine for the non-powered motor. However, those policies do not run well. It can be seen where the income is not sufficient for household economic needs. Therefore,...

The increasing competition in the banking sector has made customer acquisition and customer retention difficult for the banks. Banks need to integrate their processes to make their systems robust so as to offer exemplary customer experience, better risk management and reduced frauds which will help them...

RootSense is an artificial intelligence-powered chatbot designed to assist farmers and farming in India by automating crop disease diagnosis and consulting services. Using photographs of crops uploaded by farmers, RootSense utilises hyperlocal environmental variables such as soil qualities, current weather,...