International Scientific Journal of Engineering and Management

Abstract - India's position as the world's third-largest crude oil importer renders its macroeconomic fundamentals critically susceptible to international oil price fluctuations. This study examines the multidimensional impact of global crude oil price volatility on India's Current Account Deficit (CAD) and the fiscal viability of petroleum-based commerce over the period 2016–17 to 2024–25. The r…

ABSTRACT: This study examines the role of social media influencers in promoting climate awareness and encouraging sustainable lifestyle practices among young audiences. With the rapid growth of digital platforms, influencers have emerged as key opinion leaders who shape attitudes, perceptions, and behaviors, particularly among youth. Using a questionnaire-based approach, data were collected from …

Abstract - In the modern recruitment ecosystem, the increasing volume of job applications has made manual resume screening inefficient and time-consuming. This paper presents an intelligent system, AI Resume Analyzer, designed to automate resume parsing and job recommendation using Natural Language Processing (NLP) and Machine Learning techniques. The system extracts structured information such a…

Abstract: Thyroid disease prediction is a critical task in modern healthcare systems, enabling early diagnosis and effective treatment planning. Accurate identification of thyroid disorders such as hypothyroidism and hyperthyroidism can significantly reduce long-term health complications. This paper presents a machine learning-based thyroid disease prediction framework combining clinical, biochem…

Abstract: Blood group identification is essential in medical emergencies, transfusion medicine, and forensic investigations. Traditional methods require blood samples and laboratory testing, which can be time-consuming and invasive. This research proposes a non-invasive method for predicting blood groups using fingerprint patterns. Fingerprints are unique biometric identifiers, and prior studies …

Abstract: Grievance handling plays a crucial role in maintaining industrial harmony and enhancing employee performance, particularly in labour-intensive industries such as apparel manufacturing. This study examines the effectiveness of grievance handling mechanisms and their impact on worker performance across selected textile organizations. A descriptive research design was adopted, and primary …

Abstract The current advancement in artificial intelligence and computer vision technologies has made a significant impact on the evolution of the modern fitness application. FitMate 2.0, the new web- based fitness system described in this paper, is an improvement of the already existing FitMate system, which was named FitMate. The initial system did not have a major goal except to detect real-ti…

ABSTRACT Cost optimization in manufacturing has become a critical management imperative, particularly in the rapidly evolving Electric Vehicle (EV) sector. Rising operational costs, supply chain volatility, and intense market competition necessitate systematic, data-driven approaches to resource allocation and production planning. This study applies Linear Programming (LP) techniques to develop a…

Abstract: Agricultural productivity is frequently hindered by delayed identification of plant diseases, crop damage caused by animal intrusion, and restricted access to transparent market channels. To address these concerns, AgriConnect is proposed as an integrated smart farming platform that combines Artificial Intelligence (AI), Internet of Things (IoT), and cloud technologies within a unified …

Abstract The fast expansion of digital education has changed the way learners gain knowledge and develop skills. This research paper introduces Skill Edge: An intelligent EdTech platform created to connect traditional education with skills that are relevant to the industry. The platform combines customized learning paths and real-time progress monitoring to boost learner engagement and results. T…

ABSTRACT: This study analyzes the effectiveness of the Record to Report (R2R) process in ensuring financial accuracy at METAYB using a descriptive research design and primary data collected through questionnaires. It focuses on key areas like invoice processing, GRN verification, payments, reconciliation, and reporting. Statistical tools such as percentage analysis, correlation, and Chi-square te…

Abstract: Communication systems today are overwhelmingly dependent on centralized internet infrastructure, which introduces vulnerabilities such as network outages, censorship, surveillance, and infrastructural dependency. This research introduces BlueMesh, a novel decentralized messaging architecture that enables users to communicate using Bluetooth Low Energy (BLE) without requiring internet co…

Abstract In today’s placement and recruitment environment, students receive a large number of emails containing important information related to hiring processes, assessment schedules, and job role requirements. Identifying relevant placement emails within this continuous stream remains a challenging and time-consuming task for many students. To address this problem, this paper presents an automa…

Abstract—Artificial intelligence–based conversational agents have recently gained attention as scalable solutions for mental health assistance. Large Language Models (LLMs) demonstrate strong language understanding and generation capabilities; how- ever, their responses in counseling contexts often lack emotional grounding, empathy, and philosophical reasoning required for sensitive mental health…

Abstract The rapid expansion of the event management industry has led to significant environmental challenges, including excessive waste generation, high energy consumption, and increased carbon emissions. Green event management practices have emerged as a sustainable solution to mitigate these impacts. This study proposes a lifecycle-based framework integrating Indian Knowledge Systems (IKS) wit…

Abstract This study explores how rural households in Tamil Nadu make health choices between Indian Systems of Medicine (ISM) and modern allopathic medicine. It examines their knowledge, attitudes, and perceptions about traditional medicine and how economic factors influence these decisions. The research finds that traditional systems like Siddha, Ayurveda, and Homeopathy are popular because they …

Abstract - The automotive manufacturing sector continues to face persistent assembly line defects that increase operational costs, reduce product quality, and impact overall productivity. This study examines the application of Lean Manufacturing principles, including Value Stream Mapping (VSM), Kaizen, 5S, Poka-Yoke, Root Cause Analysis (RCA), Single Minute Exchange of Die (SMED), and Total Produ…

Abstract This study explores investors perception towards online trading with reference to Wealth management, The research aims to understand the key factors that drive investor preferences, satisfaction levels, and risk management behavior in the context of digital trading platforms. A descriptive research design was adopted, with primary data collected from 160 respondents using structured ques…

Abstract - In today’s digital era, maintaining strong connections between alumni and their alma mater is essential for institutional growth, collaboration, and knowledge sharing. However, many engineering colleges still depend on fragmented or informal approaches to alumni engagement, limiting opportunities for networking, mentoring, fundraising, and career development. To address this gap, this …

Abstract The plywood and wood panel industry in India is witnessing rapid growth driven by urbanisation, rising disposable incomes, and increasing demand for modular furniture and construction materials. This study examines the financial performance and customer perception towards Century Plyboards India Ltd, one of India’s leading manufacturers of plywood, laminates, and engineered wood products…