Volume 13 | Issue 5 |

 Abstract

This research paper presents the design and implementation of an automated Student Grading System aimed at enhancing the efficiency, accuracy, and transparency of academic performance evaluation. The proposed system leverages modern database technologies and a user-friendly interface to manage and compute student grades based on various assessment components such as assignments, quizzes, midterms, and final examinations. By automating grade calculations and result generation, the system reduces manual errors and administrative workload, while ensuring fair and consistent evaluation criteria. Additionally, it offers real-time access for students and educators to monitor academic progress. The study discusses system architecture, key functional modules, and performance metrics, demonstrating the effectiveness of the grading system through a case study and user feedback. The results suggest that such systems can significantly improve the overall academic management process in educational institutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords- Student performance; student analysis; data mining; student performance analysis; classification; prediction; system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Language Learning Assistant App is a comprehensive mobile application designed to address the evolving needs of modern learners by offering a unified platform for acquiring spoken and sign languages. It leverages advancements in artificial intelligence and cloud computing to deliver a personalized, inclusive, and engaging learning experience. The application integrates multimodal interaction techniques such as speech recognition, sign language detection, and a conversational AI chatbot to cater to diverse user preferences and abilities. Key features include adaptive learning paths based on user performance, interactive vocabulary games, real-time quizzes, and community-driven learning modules. The inclusion of sign language functionality ensures accessibility for users with hearing impairments, promoting digital inclusivity. The app's backend is powered by scalable cloud services that facilitate real-time content updates, progress tracking. This paper delves into the architectural design of the system, explaining its modular components and data flow through diagrams and technical specifications. It further presents performance evaluations based on user testing, highlighting the effectiveness of adaptive techniques in improving retention and engagement. The study concludes with a discussion on the app's societal impact and outlines potential enhancements such as multilingual support, augmented reality features, and integration with educational institutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mobile App, Gamification, Language Learning, Sign Language, Adaptive Quiz, Firebase, Gemini AI, AI Chatbot, Data Preparation, Feature Engineering, Mobile Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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The Smart Refrigerator is an innovative application of the Internet of Things (IoT) and image processing technologies, designed to automate and enhance food inventory management. This paper proposes a system capable of recognizing items stored in a refrigerator, monitoring their presence, and notifying users of expired or missing items. Using a Raspberry Pi and Python-based image recognition algorithms, this project demonstrates a practical, cost-effective approach to minimizing food waste while improving user convenience.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Refrigerator, IoT, Raspberry Pi, Image Processing, Python, Food Monitoring System, Automation

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Creative Commons Attribution 4.0 and The Open Definition

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This research explores the potential for commercializing floral waste to create economic opportunities. When vibrant flowers wilt, they transform into a valuable resource stream that offers environmentally friendly solutions. Current waste disposal practices contribute to environmental degradation, highlighting the urgent need for sustainable alternatives. Through interviews, surveys, and field observations, the study examines the social, environmental, and economic impacts of floral waste commercialization. The findings identify various waste streams, including discarded flowers, leaves, and other plant materials, each of which can be repurposed into products such as organic fertilizers, natural dyes, and artisanal crafts. An analysis of economic viability underscores the financial feasibility of this transition, while the social and environmental implications emphasize job creation, biodiversity preservation, community empowerment, and waste reduction. The research also addresses challenges such as market acceptance and technological limitations, proposing innovative solutions to ensure a greener and more prosperous future. Ultimately, this study advocates for the reimagining of floral waste as economic assets, thereby fostering sustainability within the cultural and ecological framework of the country

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flower waste, commercialisation, livelihood, sustainability, waste reduction, Challenges

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In movie productions the Foley Artist is responsible for creating an overlay sound track that helps the movie come alive for the audience. This requires the artist to first identify the sounds that will enhance the experience for the listener thereby reinforcing the Director's intention for a given scene. The artist must decide what artificial sound captures the essence of both the sound and action depicted in the scene. In this project, we present a fully-automated deep-learning tool that can be used to synthesize a representative audio track for videos. This tool can be used in applications where there is either no corresponding audio file associated with the video, or in cases where there is a need to identify critical scenarios and provide a synthesized, reinforced sound track. An important performance criterion of the synthesized sound track is to be time synchronized with the input video, which provides for a realistic and believable portrayal of the synthesized sound. This project presents a novel deep learning approach to adding synchronized soundtracks to silent movies, aiming to enhance their immersive qualities and accessibility. Our method leverages advanced neural network architectures, including convolution neural networks (CNN's) and recurrent neural networks (RNN's), to analyze visual content and generate contextually appropriate sound effects and dialogues.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional Neural Network, Syncronization, LCRN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The AI-powered spy robot is a sophisticated surveillance system designed for military applications, leveraging the ESP32-CAM module for real-time human detection using advanced Machine Learning algorithms. The robot's core is built around the Arduino Uno platform, which provides a flexible and reliable foundation for integrating multiple sensors and technologies. The robot's sensor suite includes an ultrasonic sensor, which enables obstacle avoidance and ensures smooth navigation through complex environments. A metal sensor is also integrated, Enabling the robot to identify potential landmines or other metallic threats. The PIR (Passive Infrared) sensor identifies camouflaged individuals, Supplying critical threat-related information to support decision-making. Additionally, a gas sensor monitors for hazardous gases, triggering alerts via IoT and Bluetooth (HC-05) connectivity. The robot's communication capabilities are enhanced through Wi-Fi and Bluetooth connectivity, enabling real-time data transmission to soldiers or command centers. A 16x2 LCD display provides real-time status updates, Ensuring effective communication with operators of the robot's status and any detected threats. An alarm system is also integrated, warning soldiers of potential threats and enabling swift response. The robot's mechanical design features a robust four-wheel chassis, allowing it to navigate challenging terrain and operate in various environments. The ESP32-CAM module provides a high-quality video feed, enabling real-time monitoring and surveillance.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-powered surveillance, ESP32-CAM, real-time human detection, Arduino Uno, threat detection, IoT-enabled robot, machine learning, military robotics, gas sensing, obstacle avoidance, embedded systems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

By providing answers to urgent problems including aging populations, restricted access to specialist care, and rising demands for accuracy and safety, robotics has drastically changed the healthcare sector. This thorough study explores the development, use, and prospects of robotics in healthcare across a number of fields. The study examines several types of healthcare robots, including interventional, surgical, assistive, socially-assistive, telepresence, and rehabilitative systems, and evaluates how they affect clinical results, cost-effectiveness, and care quality. The integration of emerging technologies such as computer vision, haptic feedback, machine learning, and artificial intelligence into contemporary robotic systems is investigated, emphasizing how they improve robot capability and flexibility. This study identifies important adoption boosters and impediments, such as technological difficulties, regulatory frameworks, financial concerns, and workforce consequences, through a thorough literature review and case study analysis. The potential of recent advancements in autonomy, human-robot interaction, and miniaturization to change healthcare delivery methods is evaluated. The results show that although robotics can significantly improve clinical outcomes and operational efficiency, a number of issues need to be resolved, such as high implementation costs, convoluted regulatory processes, ethical issues with autonomy and decision-making, interoperability with current systems, and the requirement for specialized training. In order to enable the ethical integration of robotic technologies into global healthcare ecosystems, the study ends with recommendations for future research paths and policy

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Medical robotics, AI in healthcare, assistive robots, surgical robotics, telemedicine, healthcare innovation, rehabilitation robotics, robotic prosthetics, human-robot interaction, patient care automation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Prices and inflation: understanding the fluctuations

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Creative Commons Attribution 4.0 and The Open Definition

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Prices and inflation: understanding the fluctuations

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human-Elephant Conflict (HEC) Is A Serious Problem In India, Especially In Farsabahar Region. With Over 27,312 Wild Elephants Spread Across Various Habitats, India Is Home To 60% Of The World's Asian Elephant Population. Threats To The Indian Elephant, Which Is Listed As Threatened By The IUCN, Include Habitat Loss, Deforestation, Increased Agricultural Production, And Infrastructural Development, Which Puts Elephants In Greater Proximity To People. Frequent Encounters, Especially During Grain Harvest Seasons, Have Resulted In Crop Theft, Property Destruction, And Even Fatal Fights With Local Populations In Farsabahar, A Crucial Elephant Migration Corridor. According To A Survey Of 100 People Living In Communities That Frequently Experience Conflict, Habitat Destruction And Resource Competitiveness Are The Main Causes Of Conflict, With The Majority Of Occurrences Taking Place Along The Boundary Between Farmland And Forests. Physical Barriers And Early Warning Systems Are Examples Of Mitigation Techniques That Are Often Pricey Or Short-Term. The Study Highlights The Necessity Of Community-Based, Integrated Management Strategies That Strike A Balance Between Elephant Conservation And Human Livelihoods, With A Focus On Migratory Corridor Restoration and Better Compensation And Support For Impacted People.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IUCN, HEC, Farsabahar, human settlement, elephant

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Corporate social responsibility (CSR) has been worldwide in making a place for itself within business strategy, the degree of regulation and implementation varying from country to country. This research is intended to be a comparative study of the CSR practices of India and other leading global economies concerning the regulatory frameworks, problems in implementation, and effectiveness of initiatives. CSR in India is regulated by the Companies Act, 2013, which requires that large companies spend part of their profits on socially beneficial causes. Challenges include weak enforcement, limited applicability, and lack of transparency and accountability within India's framework. This is in contrast with countries where a more stringent law regulating CSR exists like Germany which have a very much stronger approach to sustainability, than environmental impacts or human rights. The study will also analyze the legal and policy frameworks that govern CSR for these countries and bring an insightful examination of how CSR tends to impact corporate behavior in terms of ethical business practices, community welfare, and environmental sustainability. The research will also look into the role played in shaping CSR practices by the public and private sectors and assess the impact of CSR endeavors on various societal challenges. This research will bring to bear a comparison between CSR frameworks in India and those in other global leaders to find out the areas that require improvement, best practices, and recommendations for bettering CSR regulations in India. Ultimately, the wide-ranging impact expected out of the research is meant to further a coherent understanding of the role of CSR in sustainable business practices and social development across diverse regulatory contexts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords - Corporate Social Responsibility (CSR), India, Global Economies, Regulatory Frameworks, Sustainability, Human Rights.

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Creative Commons Attribution 4.0 and The Open Definition