Volume 13 | Issue 5 |

 Abstract

Phishing remains a persistent and evolving threat to internet security, leading to significant financial and data losses globally. This paper proposes an AI-driven phishing detection system capable of analyzing various types of inputs including URLs, emails, HTML content, and text to detect malicious attempts. By combining DistilBERT embeddings for textual understanding with handcrafted URL features, and utilizing an ensemble of Random Forest and XGBoost classifiers, our approach achieves high detection accuracy with efficient training time, supported by GPU acceleration. Experimental results show that the proposed model achieves a precision of 97.8% and recall of 96.5% on a benchmark phishing dataset containing over 77,000 samples. Our work demonstrates a robust, scalable, and fast solution suitable for real-world deployment through a Flask-based API.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phishing Detection, Artificial Intelligence, Cybersecurity, Ensemble Learning, DistilBERT, XGBoost, Random Forest, URL Analysis, Email Security, Flask API

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Ensuring Accurate brain tumor grading using MRI is essential for guiding treatment and improving patient outcomes, but traditional manual methods are often subjective and slow. This study presents a data-efficient deep learning model that combines pre-trained CNNs like VGG16 with handcrafted features to classify brain tumors effectively, even with limited data. By leveraging transfer learning and a hybrid feature approach, the model achieves high accuracy, sensitivity, and specificity on public MRI datasets while remaining computationally efficient. This makes it well-suited for use in low-resource healthcare settings, supporting faster and more reliable clinical decisions

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

- Brain tumor grading, deep learning, convolutional neural networks (CNN), VGG16, transfer learning, hybrid feature extraction, data-efficient model, medical image classification, low-resource healthcare

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Smart IoT-Based Helmet for Mine Workers is an advanced safety solution designed to significantly enhance protection for miners by offering comprehensive real-time monitoring of environmental and physiological conditions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESP32 (W-room) Microcontroller, ESP32 CAM module, Buzzer, LCD display.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Alzheimer's disease (AD) is among the most prevalent and devastating neurodegenerative disorders, primarily affecting memory and cognitive function. The progressive nature of AD complicates early diagnosis, which is critical for timely intervention and disease management. Traditional diagnostic techniques often rely on singular data modalities--either structural imaging or clinical assessments--limiting their effectiveness in capturing the full spectrum of pathological changes. This research proposes a robust, multimodal deep learning framework that leverages both Magnetic Resonance Imaging (MRI) and clinical data to enhance prediction and classification accuracy. The model integrates a 3D Convolutional Neural Network (CNN) to process spatial features from MRI scans and a Multi-Layer Perceptron (MLP) for clinical variables, enabling a holistic understanding of patient data. Through advanced preprocessing techniques and rigorous validation protocols, this approach aims to significantly improve the precision of early-stage AD detection, outperforming conventional machine learning strategies..

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alzheimer's disease diagnosis; multimodal deep learning; 3D convolutional neural network (3D-CNN); clinical and imaging data fusion; magnetic resonance imaging (MRI); early detection of dementia.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Austroasiatic civilization, an ancient and resilient cultural presence in South and Southeast Asia, spans across India, Vietnam, Cambodia, Laos, and Thailand. This research explores the evolution of Austroasiatic civilizations by analyzing their linguistic roots, cultural practices, and archaeological evidence, tracing their geographical spread and socio-cultural transformations. Employing a multidisciplinary approach that integrates linguistics, archaeology, ethnography, and historical anthropology, the study provides a comprehensive view of the Austroasiatic world. The Austroasiatic language family, comprising the Mon-Khmer and Munda groups, is among the oldest and most widespread in Asia. Linguistic studies suggest a Proto-Austroasiatic origin around 4,000 to 6,000 years ago, with subsequent migrations across the region. These migrations were closely linked to the spread of wet-rice cultivation, which became a cornerstone of Austroasiatic economies. Austroasiatic peoples, including the Khasi, Santhal, Khmer, and Mon, exhibit diverse ethnic identities but share features like clan-based social structures and animistic beliefs. Archaeological findings in the Mekong River basin and Eastern India indicate early Austroasiatic settlements and the development of agricultural societies. These societies were pioneers in wet-rice farming and contributed to the spread of bronze metallurgy. Their deep connection with nature is evident in their animistic worldviews and sustainable practices. In South Asia, Munda-speaking peoples have significantly influenced the linguistic and cultural landscape, despite facing challenges like displacement and marginalization. Southeast Asia also holds a crucial place in Austroasiatic history, with Mon-Khmer groups fostering the rise of early states such as the Khmer Empire. These societies, while adopting external influences, maintained their indigenous Austroasiatic heritage. The Austroasiatic civilization's legacy of continuity, adaptation, and cultural resilience is vital to understanding Asia's early cultural and ecological history. Contemporary efforts to preserve Austroasiatic languages and traditions highlight the importance of cultural diversity in the modern world.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Austroasiatic Civilization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project presents the design and development of a self-charging hybrid electric bicycle using a Permanent Magnet DC (PMDC) motor. The system combines pedal-assist and throttle-based operation, powered by a rechargeable battery. A dynamo connected to the rear wheel generates electricity during motion, which is converted through a bridge rectifier and used to recharge the battery. A manual switch and controller regulate power flow to the motor. The setup reduces dependence on external charging, promotes eco-friendly transportation, and is ideal for short-distance commuting.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hybrid Electric Bicycle, PMDC Motor, Self-Charging, Pedal Assist, Throttle Control, Dynamo, Bridge Rectifier, Battery Charging, Eco-friendly Transportation, Controller Circuit

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Indian mythology's revered epic Ramayana has served as a creative source for cinematic adaptations across Tamil Hindi and Telugu languages. The Ramayana films transform the ancient narrative into cinema while incorporating traditional Indian dance styles to convey the stories. This paper investigates how Ramayana appears in cinema through a detailed analysis of dance narratives. Bharatanatyam Kathakali and Kuchipudi classical dance styles play a vital role in visual storytelling to convey both emotional and spiritual elements of the epic. From the old mythological film Lava Kusa (1963) until present day adaptations choreographed dance scenes help reveal character development and show divine interference while highlighting important story events. Through NatyaShastra fundamentals dance functions as a link between temple theatrical traditions and modern movie production. The research examines cinema's preservation and reinterpretation of traditional performing arts through an assessment of key films and their corresponding dance sequences within modern visual contexts. The traditional performing arts within Indian art and film maintain their cultural relevance through the storytelling technique that combines dance with cinema in Ramayana-based productions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

tamil cinema , bharathanatyam ,ramayana , story , spiritual movies,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Digital Locker (DigiLocker) is a significant initiative by the Government of India aimed at promoting paperless governance and reducing reliance on physical documents. This scheme was launched in 2015 under the Digital India initiative. DigiLocker provides citizens with a secure online platform to store, share, and access digital copies of important documents such as driving licenses, vehicle registration certificates, educational certificates, and other government-issued documents. Gen Z's is characterized as digital natives, having grown up with the internet, smart phones, and social networking platforms. Their engagement with social media and the initiative taken as the result of digital India scheme, this paper extends to express awareness and usage of digilocker application.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital India, Digi locker, Awareness of Digi locker, Usage of Digi Locker

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Multi-digit multiplication is widely used for various applications in recent years, including numerical calculation, chaos arithmetic, primality testing. Systems with high performance and low energy consumption are demanded, especially for image processing and communications with cryptography using chaos. In this project, hardware design of multi-digit multiplication is described and its VLSI realization is evaluated in terms of the cost and performance. A new type of compressor-based multiplier is proposed for low power application. The results obtained by this study will help system designers for applications requiring multi-digit multiplication to select design alternatives including FPGA realization. The key contributions of this work include the comprehensive analysis of the hybrid multiplier's performance in terms of power consumption, delay, and error rate across various benchmark circuits.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Compressor ; Multiplier ; Low power applications ; Approximate Compressor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the effectiveness of Pay-Per-Click (PPC) advertising within Meta Ads at Shanthi IT Solution. Using a descriptive research design and survey methodology, data was collected from 217 digital marketing professionals through structured questionnaires. A preliminary pilot study with 32 participants was conducted to validate the research instrument, leading to improvements in the final survey design. The research examines critical aspects of Meta PPC campaigns, including ad formats, targeting strategies, performance metrics, and optimization practices. Key findings indicate that video ads are the most commonly used format (35%), while ad creative quality (37%) plays a vital role in campaign success. Additionally, 48% of respondents reported frequent use of Meta Ads for PPC purposes Regarding outcomes, 33% observed a moderate increase in website traffic and conversions, suggesting that Meta PPC ads can positively impact business goals when strategically managed. The study emphasizes the need for continuous monitoring, testing, and optimization to maximize ad performance in a competitive digital environment. Overall, this research highlights the growing importance of PPC advertising on Meta platforms and provides actionable insights for digital marketers seeking to improve their campaign effectiveness.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Meta PPC Advertising, Ad Optimization, Video Ad Formats, Digital Marketing Campaigns. These keywords reflect the core focus of the study--effectiveness of PPC ads on Meta platforms They highlight elements like campaign strategies, ad formats, and performance optimization. Ideal for SEO, academic indexing, and targeting digital marketing research topics.

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Creative Commons Attribution 4.0 and The Open Definition