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Agriculture is one of the long-established occupations across the globe. More than half of the population predominantly rely on agriculture as the primary occupation for their livelihood. Despite the advancement of technology farmers still follow traditional methods to carry out the tasks. The development...

This project focuses on the development of a low-cost, web-controlled surveillance robot using the ESP32microcontroller, which offers Wi-Fi capabilities for real-time remote access. The robot is equipped with a camera module that streams live video to a web interface, allowing users to monitor and control...

This Paper focuses on enhancing the detection of student attentiveness in online classes through the use of Recurrent Neural Networks (RNNs). The system leverages video data to assess student engagement by analyzing both emotions and behavioral cues over time. RNN-based models are employed to handle...

Almost one in six deaths worldwide is due to infection, although the speed and accuracy of conventional diagnostic techniques are limited. Medical image analysis, such as CT and MRI scans, can now be done more quickly and accurately thanks to artificial intelligence (AI), which has become a potent tool...

Skin cancer remains one of the most common and life-threatening diseases globally, making early and accurate detection crucial for effective treatment. This study introduces a deep learning-based solution that significantly enhances skin cancer diagnosis. The proposed system employs a Convolutional Neural...

Sign language is a fundamental mode of communication for the deaf and hard-of-hearing communities, yet real-time automated translation remains a significant challenge due to the complexity of hand gestures, variations in lighting, and differences in signing styles. This study introduces Hand Speak, an...

This project is concerned with real-time emotion recognition from speech using machine learning methods to interpret vocal expressions. The system records audio through a microphone, processes it to extract major prosodic features like pitch, intensity, and tone using the Librosa library, and then classifies...

The proliferation of unstructured medical documents necessitates efficient methods for extracting and analyzing patient symptoms to enhance clinical decision-making. Now-a-days, in medical field clinical coding and symptoms identification are doing manually or they are manual process. This paper presents...

Characteristics and technical difficulties of long– flight-time solar powered UAV airborne power and energy storage system was studied, and a general design method based on energy balance relation and aerodynamic parameters was proposed. The relation formula between key parameters such as solar cell...

The rapid evolution of 6G IoT networks demands innovative solutions for energy efficiency, security, and intelligent automation. This paper proposes an AI-driven energy-efficient 6G IoT system integrating TinyML-powered IoT devices, edge computing, blockchain security, and digital twin optimization to...

Autonomous robotic systems have gained significant attention due to their potential applications in industrial automation, surveillance, logistics, and assistive technologies. This paper presents an Intelligent Robotic System that integrates multiple AI-driven techniques, including You Only Look Once...

The integration of Augmented Intelligence (AI + Human Collaboration) in governance has the potential to revolutionize decision support systems, enhance data-driven public participation, and drive policy innovation. However, existing research remains largely theoretical, lacks empirical validation, and...

Road safety is one of the major concerns of this century, as a lot of injuries occur due to the non -compliance of wearing helmets while riding motorcycles. In response to this, we have decided to design and complete an AI Powered Safety System that attempts to do two things at the same time. This system...

In order to liberate “three unders” mining and improve the relationship between enterprises and government, maintaining the harmonious and stable order of mining area,on the basis of full investigation demonstrated, Yuyang coal mine had bring in a practical way of filling mining. In the practice of filling...

After finishing their senior secondary studies, a majority of students face confusion about what to choose as a career path and take an ample amount of time to decide on it. Traditional counseling methods fail to provide personalized, data-driven recommendations. So many uncertainties and so much more...

Traditional trip planning techniques are laborious, it involves large human research, one need to compare information regarding the trip from all resources of web or applications, we must book the seats for traveling in advance regardless of our traveling dates, attractions, and transportation. These...

Failure of “display number of remaining bombs does not match the actual number of remaining bombs” occurs in powered inspection and shoot of aircraft cannon control system, the principle of aircraft can­non control system is introduced, the reasons of failure of “display number of remaining bombs does...

Students may find it difficult to make decisions about their academic and career paths beyond Class 10. What’s next-an education technology platform that helps students explore options that match their skills, interest, aptitude, such as streams like Science, Commerce, and Arts, vocational courses, entrance...

With the development of science and technology, informationization and networking has become rather common in economic development. Information technology has turned to an important force that drives the productivity in global economy. Although Chinese small firms are not largely scaled, they are quite...

Permanent magnet synchronous motors (PMSM) generate high-frequency electromagnetic vibration and noise when powered by inverters and the cause is high-frequency electromagnetic exciting force (EMEF). In this paper, the frequencies and orders of EMEF are analyzed. The expression of EMEF acted on the stator...

This combination of XGboost and SHAP for BMI prediction provides tailored model implementation for different dataset augmentations, leading to high prediction accuracy and individual health recommendations. SHAP values also provide transparency and interpretability, allowing users to understand which...

Collaborative filtering recommendation is one of the most successful technologies for applying in recommendation system of E-commerce websites. However, the traditional collaborative filtering recommendation system is under-powered for dealing with user interest and data sparsity. To solve this problem,...

Voice over Wi-Fi (VoWiFi) enables economical, high-quality voice communications through IP multimedia services over WLAN infrastructure. With the stringent real-time quality requirements, however, it is especially susceptible to breaches of security. This article provides an in-depth review of Wi-Fi...

The Indian English accent has posed tremendous challenges to both veteran and novice simultaneous interpreters. This paper probes into students’ utilization of social media with AI-driven recommendations in their effort to get familiar with the Indian English accent and the impact of such a practice...

In this work, the electrical conductance and induced current of 3-dimensional graphene foam (GF) are investigated when the mixture of water and ethanol flows through it. When different mixing ratios of ethanol: water (ethanol: water = 25:75, 50:50, 75:25, and 100:0 by volume) flow through the GFs, their...

The increased volume of online messages has made it difficult for users to efficiently process and extract relevant information. This paper presents a flask-based message summary system, allowing users to obtain accurate summary of news articles and simultaneously receive core meaning and context. The...

This study introduced a customer experience optimization framework built around AI, in which deep-network level sentiment and engagement ratings deliver a complete framework to optimize customer experience in real time transactions. The proposed system makes it possible to recognize customer emotions...

Optimizing computational performance through efficient pipelining scheduling is crucial for high-performance and real-time applications. This paper introduces an AI-driven framework for benchmarking various scheduling algorithms, utilizing machine learning to enhance efficiency and optimize resource...

The growing concerns about urbanization and environmental troubles make waste management a crucial hassle worldwide. Conventional garbage segregation is bulky, much less efficient, and at risk of mistake, which means there is a dire need for present day high-tech automated trash sorting technology. Recent...

Stray animals face significant challenges, including abandonment, neglect, and limited access to care. Research reveals that traditional rescue methods are hindered by fragmented communication, inefficient reporting systems, and insufficient community involvement. This study analyses the current state...

Data science blog: AI in public health AI – a tool for predictive healthcare analytics and Telemedicine AI has become a gamechanger for healthcare, transforming the way we analyze the chronic condition as well as treatments across the globe. The paper discusses the incorporation of AI-powered platforms...

Telemedicine based on AI solutions is the new trend in the healthcare industry that offers using the possibilities of ML in remote patient treatment, using integrated artificial intelligence algorithms ensures accurate diagnosis, development of individual patient plans, and effective patient oversight...

Research and development of artificially intelligent humanoid robots remains an exciting area. Since their initial introduction, humanoid robots have advanced significantly and are currently used in a wide range of sectors. Humanoid robots have limitless potential in theory, but real-world application...

Classification of synthetic radar images (SAR) is an emerging area especially with the advent of state of the art satellite image techniques. An SVM based texture analysis and classification utilizing the PCA for dimensionality reduction of SAR images has been presented in this paper to categorize the...

This study examines the relationship between women’s empowerment and Sustainable Human Resource Development (SHRD) in higher education institutions (HEIs) in Pakistan, with a focus on the mediating role of Women’s Involvement in Sustainable HR Practices (WIISHRP) and the moderating influence of Sustainable...

The increasing pressure that global brands face to become sustainable has made using renewable energy in their operations a competitive edge. This article examines Indonesia’s new find of 17 ocean energy sites with an estimated capacity of 60GW as an opportunity geostrategically for global brands in...

In this study, to illustrate the energy conversion characteristics of air-powered hydraulic vehicle, dimensionless mathematical model of the working process is set up. Then the dynamic power and efficiency are researched based on the dimensionless parameter simulation. This research can be referred to...

Solar-powered nodes have been employed in farmland wireless sensor networks to prolong the lifetime, which can increase the cost at the same time. The energy acquisition mode of solar-powered node is intermittent and nonlinear, because it is easy to be influenced by the external factors. In this paper,...

This work provides a thermodynamic analysis of a solar-powered trigeneration system for the generation of hydrogen, electricity, and cooling. The proposed system incorporates a water electrolyzer, an organic Rankine cycle (ORC), a vapor compression refrigeration (VCR) system, and a parabolic trough solar...

As continuous skill development continues to grow in importance in our fast-paced, technology-driven world, the shortcomings of existing e-learning platforms are becoming increasingly clear. Although there are many learning assets and tools out in the wild, such as Coursera and Udemy, for example, courses...

Sustainable entrepreneurship marks a paradigm shift in how business and environmental priorities intersect where profitability aligns with ecological balance and social responsibility. In this framework, innovation means more than new technology; it represents the integration of eco-friendly methods,...

Many students in India have difficulty with career. Decisions out of lack of structured and affordable guidance. In particular in rural and semi-urban areas. Most existing digital. Career guidance tools are not to the Indian. Education which also does not take into account subject eligibility, entry....

This is an avant-garde e commerce-controlled audio platform project specifically designed for visually impaired persons. The platform uses the Django web framework to add text to speech and speech recognition support, which allows a user to browse through the store, search for products, and complete...

Compared with traditional internal-combustion engine powered UAVs, electric UAVs have no emission of pollutants and low acoustic signal. So they are more suitable for military or civil missions involving intelligence, surveillance, or reconnaissance (ISR). This paper builds two electric propulsion systems...

In this paper, we introduce a intelligent temperature control system based on greenhouse. The system include two automatic induction device,which can feel the temperature changes; a solar-thermal heating system with electrical heating auxiliary,that the most important in the system;a tubular lamp for...

In the evolution of smart cities and green sustainability, Artificial Intelligence (AI) and Digital Twins are strongly complementing each other for rapid advances in the urban environment. Challenges like data limitations, workload restrictions, data security, and cybersecurity are creating space for...

The rapid spread of the application of renewable energy has created an acute need to create intelligent systems that will be able to optimize energy distribution, storage and use in real time. Traditional energy manage-ment systems tend to be inflexible, lack predictive capability and do not possess...

The rapid development of generative AI has expanded the range of content creation tools available to users, but it has also created new intellectual property challenges. This article focuses on the phenomenon of ‘unintentional infringement’—defined as copyright violations resulting from AI outputs generated...

Smart business tech has completely changed the travel e-com space, shifting transaction platform to experiential platform. This paper examines how it affects what they buy, overall experience, and related processes. This study scrutinized all available literature and integrated empirical information...

The transient nature of urban settings is continuously linking up the remoteness of lives and unfortunately, there is no limit to this fact as such technologies as Artificial Intelligence (AI), the Internet of Things (IoT), and Augmented Reality (AR) will be significantly combined for ensuring interactions,...