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Women career progression is highly dependent on mentorship, and according to the conventional models of mentorship, the latter is mainly manual, biased, and unreachable. In a bid to shorten these challenges, SEEK HER is a Web-based application designed based on the MERN stack that is meant to offer intelligent,...

According to the new energy electric vehicle DC-DC conversion needs to adopt a zero-voltage quasi-resonant flyback converter topology based DC conversion program that will convert DC72V power to low voltage DC12V vehicle auxiliary power supply, simple circuit structure, components used, low cost energy...

Ayurvedic classical medicine depends, to a greater extent, upon the accurate identification, health appraisal and ripeness estimation of medicinal leaves. Yet, all such classification through manual processes involves expertise-based discrimination, takes lot of time, and hence contributes to variations...

The Smart farming uses AI, IoT, and blockchain to improve productivity, resource efficiency, and sustainability. IoT enables real-time monitoring and automated decisions, while AI helps predict crop health and optimize farming practices. Block-chain ensures secure and transparent data sharing in supply...

Existing grievance redressal mechanisms have long been plagued by departmental silos, slow responses, and a lack of openness, creating obstacles for individuals seeking to address their concerns with government bodies. This study introduces an artificial intelligence-driven solution that tackles these...

Proper prediction of inventory demand is extremely significant in the case of a healthy, operating supply chain. In case companies make incorrect forecasts they can either have more inventory (which must be stored at a cost), or run out of inventory which leads to dissatisfied customers. The given study...

According to the application of ultrasonic in wind speed, flow and liquid level measurement, a method about distinguishing ultrasonic signal waveform starting point was introduced. The high-powered DSP chip was chosen as the system's processor. The IIR band-pass digital filter was designed to eliminate...

The incorporation of the Artificial Intelligence (AI) in education has turned Learning Management Systems (LMS) into the tools of delivering and assessing the content into the tools that focus on helping teachers to develop and building stronger teacher-student relationships. The given paper examines...

The machine-to-machine network has become a leading solution in many important fields, such as battlefield surveillance, transport systems, industrial and agricultural automation. Typically, a M2M network consist of a large number of battery powered, concurrently access devices. Simplex MAC protocols...

This paper presents a novel AI-driven framework for PDF translation that ensures accuracy, structural preservation, and security throughout the document processing pipeline. The system integrates advanced techniques such as deep learning-based watermark removal (achieving 92.5% detection accuracy), BERT-powered...

With the rapid creation of artificial intelligence in the sphere of conversational technologies, the management of the interaction with the customers has been changed by the organization in question, specifically, the adopted use of the automated call-handling system. I will present an interactive voice...

The Early Childhood Education Teacher’s Handbook (PAUD book) is a book used as a basis for teachers to do activities and communicate with PAUD children. The world of PAUD children is a world of play with fun to prepare children for the level above. Therefore, the vocabulary in PAUD books should reflect...

Unimodal biometric systems have low discriminability, spoofing weaknesses, and noise sensitivity. This research proposes a secure, reversible, and comprehensible multimodal biometric verification architecture that integrates facial, fingerprint, and palmprint characteristics in order to address these...

In the current paper, I would like to discuss a blockchain-powered academic certification check system, combining decentralized storage of credentials with identity checks based on biometrics to improve the reliability, safety, and authenticity of scholarly records. The conventional system of certificate...

Home cooking supports a healthy lifestyle, but selecting what to cook using accessible ingredients is problematic. The AI-driven Smart Recipe Generator resolves this by leveraging Machine Learning (ML), Computer Vision, and Natural Language Processing (NLP) to offer tailored recipes. Users can either...

The digital economy in Southeast Asia (SEA)is skyrocketing. It is revolutionizing societies and is giving rise to unprecedented economic opportunities. It is powered by data, which is the valuable resource of the 21st century. But the cross-border nature of digital services triggered a hot debate about...

Developing effective disaster management and risk reduction strategies is essential, and the proliferation of natural and man-made disasters increasingly calls for proactive and innovative solutions that enhance capacity for disaster management and risk mitigation. The study aims to develop AI-powered...

Structural Health Monitoring (SHM) plays a vital role in ensuring the safety and longevity of engineering systems, especially in aerospace applications. However, the anisotropy and concealed damage mechanisms of composite materials present significant challenges to conventional monitoring techniques....

Static zero-trust policies frequently fall short of offering adequate defense against changing threats in cloud-native microservices’ highly dynamic and distributed environments. An AI-powered zero-trust security framework that incorporates real-time anomaly detection straight into the policy-enforcement...

Financial decision-making is challenging because of large volumes of market data. Users find it difficult to interpret trends, so a tool that simplifies analysis and provides predictive insights is critical to making well-informed decisions. Existing tools such as Bloomberg Terminal and Trading View...

Although content creation has grown more accessible and diversified in the digital era, the process frequently involves navigating many tools and platforms. Addressing this issue, Genius emerges as an all-in-one platform that democratizes content creation by seamlessly merging advanced AI capabilities...

In the cloud computing model has become main support and helpful for modern digital services, that makes more scalability and data-intensive application across different domains. But due to its fast and speed growth the risk-complexity also increases the amount of traditional methods often failure to...

Effective, granular and targeted education methodologies play a significant role in the neurological development of children irrespective of their neurological deficits. When observed, it is seen that a certain demographic of students will be less invested in free courses, even when they get enrolled...

Environmental sustainability and resource optimization depend on efficient waste management. This article offers a smart system that promotes a circular economy, enhances recycling efficiency, and automates waste categorization. The system uses an automated gripper arm, computer vision-based object detection,...

Hand gesture-based sign language recognition distributed as major interaction link to people with hearing difficulties. The absence of a universal sign language allows distinct linguistic variations are evident in different regions, includes Indian Sign Language and American Sign Language. Conventional...

Project-based learning (PBL) is an educational approach that actively engages gifted students in high-level cognitive tasks, integrating academic and social skills while leveraging diverse tools and resources, including technology. The incorporation of artificial intelligence (AI) within collaborative...

Artificial Intelligence (AI) is now a part of the education system. Artificial Intelligence (AI) changes how students work with study materials and learn things. I have observed that speech recognition, natural language processing (NLP) and text-, to-speech synthesis have advanced quickly. Speech recognition,...

Due to different presentations in females, polycystic ovary syndrome (PCOS) is the most common endocrine disorder and is particularly likely to be underdiagnosed and misdiagnosed. Recent machine learning structures such as MobileNetV2 offer promising opportunities for accurate, efficient and cost-effective...

Cakalang fufu, a traditional smoked skipjack tuna product from North Sulawesi, requires a reliable sterilization process to ensure product safety, extend shelf life, and maintain quality. This study presents the design and implementation of a solar-powered retort machine integrated with an Internet of...

The Smart infant-care system that continuously monitors critical health and safety indicators and is equipped to provide alerts and improved care. The intention ofthe system is to monitor an infant’s heart rate, body temperature, blood oxygen saturation, IV fluid status, and presence using a network...

Technology upgrades our lifestyle, working culture, and day-to-day activities in this era, Artificial intelligence is playing a vital role in making things easier, embraces human-computer interactions and enhances human knowledge to unprecedented levels. The aim is to develop a small-scale voice-based...

The aviation sector faces significant challenges in achieving carbon neutrality by 2025. It is influenced by international agreements such as the CORSIA and the Paris Agreement. This article examines key technology pathways for decarbonising aviation, focusing on hybrid propulsion systems, sustainable...

This study analyzes Automatic Identification System (AIS) data collected by the AIS-POLBENG Remote Base Station (RBS) in the Malacca Strait over a five-month period (February–June 2025) to support maritime traffic monitoring. The AIS data processing system was developed to encompass raw data recording,...

Food wastage and hunger are two major problems globally, most famously seen in most developing countries like India, where they are the norm. The paradox of excess food wastage and extensive hunger is a major impetus for creative solutions. Zero Hunger, a trailblazing web-based food donation platform,...

As Artificial Intelligence (AI) becomes more present within education settings, it has become both appropriate and important to understand the mental implications on students as well. This paper examines how AI-based educational technology influences 2 very key psychological ideas: self-efficacy as well...

With the development of science and technology, the wireless transmission system has a broad application field. This system need to collect the temperature data of two nodes. So we use the new single chip microcomputer STC15W1K24S as microprocessor, DS18B20 as temperature sensor, low power consumption...

A remotely operated vehicle (ROV) is essentially an underwater mobile robot that is controlled and powered by an operator outside of the robot working environment. The issue of 2D path-following control of ROV was studied. Based on single-input fuzzy controller expressed in analytical form, an improved...

To support mobile communications in remote pastoral areas of Tibet effectively, this paper proposes an integrated wireless networking architecture using MANET. The sparse mobile users, assisted by the solar-powered multi-functional standing station mainly on networking maintenance and routing arrangement,...

This study presents a practical implementation of the Artificial Intelligence of Things (AIoT) for Koi feeding using low-cost IoT machines powered by Raspberry Pi. To optimize feeding, deep learning is applied in alignment with the widely used five-minute feeding method. YOLOv9-s is employed for shaded...

In this paper a novel IoT-enabled secure and scalable cloud architecture employing a hybrid post-quantum cryptographic and blockchain-based framework is proposed targeting multi-user system. Hence, to ensure the advanced protection of IoT data and communications against classical and quantum attacks,...

Event safety has become a growing concern with the surge in large gatherings such as festivals, concerts, political rallies, and urban public events. Existing event safety systems such as CCTV-based monitoring and IoT sensors often face problems including hardware dependence, poor scalability, slow detection...

This paper proposes a green, lightweight, and cost-effective wireless system for structural health monitoring (SHM) of bridges. The system utilizes an edge computing model, eliminating the need for traditional cloud services by enabling sensor nodes to collaborate with a local intelligent hub for data...

Provable approach of real time news fetching and classification systems has developed with the progress of Natural Language processing (NLP) particularly after early 2023. The high accuracy, efficiency and interactivity gained with the help of AI-driven systems like those based on BERT models for news...

This study investigates the enhancement of MSME (Micro, Small and Medium Enterprises) marketing effectiveness through the integration of data mining techniques within CRM (Customer Relationship Management) systems. Using a private wholesale transaction data from SMEs for the 2023–2025 period, key variables...

Structured query language (SQL) involves technical writing expertise that poses a big obstacle to non-technical users, thereby restricting data-driven decision making at the organizational level. Available solutions like direct database clients or the conventional Business Intelligence (BI) solutions...

The global shift towards sustainability has prompted new opportunities for integrating Renewable Energy Certificates (REC) with temporary electricity services. This study investigates the effectiveness of bundling REC with temporary power solutions through cross-selling and branding strategies, focusing...

This article presents the conceptual design of the JUARA (Joint Utility Agriculture Remote Automation) tractor research, which was developed to address Indonesia’s agricultural modernisation challenges. The novelty of this research lies in integrating remote automation into a modular tractor design tailored...

Japan faces significant energy challenges due to its heavy reliance on imported fossil fuels, which has led to high greenhouse gas emissions, elevated energy costs, and concerns about energy security. This study assesses the feasibility of transitioning Japan to a 100% clean energy system, with a focus...

Timely diagnosis of ocular diseases is essential for preventing vision loss and ensuring effective treatment. This research proposes an autonomous deep learning-based system for detecting common eye diseases from retinal fundus images. The study utilizes the publicly available Ocular Disease Recognition...

We describe a novel artificial intelligence (AI) framework using the T5 neural network coupled with the SpaCy natural language processing library to contribute to Grammar and Speech analysis. By combining the power of T5 model (Text-to-Text Transfer Transformer) in transfer learning with SpaCy’s fast...