Volume 13 | Issue 5 |

 Abstract

This study examines the role of HR analytics in predictive workforce planning and decision-making in manufacturing industry. It focuses on identifying key factors influencing employee retention and the challenges in retaining talent. Using both primary (structured questionnaires) and secondary data, the research analyzes responses from various departments. Statistical tools like percentage analysis and chi-square tests reveal that job satisfaction, compensation, career growth, work-life balance, and management support significantly impact retention. The study ends with suggestions aimed at improving retention strategies and minimizing employee turnover.

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 Keywords

HR analytics, Predictive workforce planning, Decision-making, Employee retention, Retention challenges, Compensation, Career growth, Work-life balance.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fast fashion industry is embracing new technologies to meet consumers' needs and offer more engaging shopping experiences. This research paper examines how immersive virtual fitting room is able to revolutionize retail with mixed reality(MR) technology .This is a paradigm shift to improve customer engagement and simplify the process of choosing garments. By combining augmented reality (AR), virtual reality (VR), and spatial computing, MR technologies allow customers to engage with virtual apparel in real-time with realistic visualizations, fit simulation, and customization without requiring physical trials in trail rooms. This research paper delves into working with retail systems through APIs, real-time motion capture methods for accurate 3d model generation, and AI utilization for predictive adaptive fitting. Performance benchmarks, latency optimization strategies, and system scalability are evaluated using prototype testing and user testing. MR-driven virtual fitting rooms dramatically improve realism, accuracy, and personalization in digital clothing try-ons, creating a new technological paradigm for fashion retail innovation.

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 Keywords

Virtual Reality,Augmented Reality,Spatial Computing,3D Rendering,AI algorithms.

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Accurate rainfall forecasting is vital for India's agricultural sustainability, water resource management, and climate resilience. This study conducts an exhaustive evaluation of four advanced time-series forecasting models--Long Short-Term Memory (LSTM) neural networks, Seasonal Autoregressive Integrated Moving Average (SARIMA), Facebook Prophet, and Extreme Gradient Boosting (XGBoost)--to predict annual rainfall from 2016 to 2030, leveraging India's area-weighted rainfall dataset from 1901 to 2015. Each model is meticulously assessed for its ability to capture temporal trends, seasonal patterns, and nonlinear dependencies. The findings reveal distinct predictive behaviors: LSTM projects a steady increase in rainfall, reaching 1207.36 mm by 2030, indicating potential climatic shifts; SARIMA predicts stable oscillations between 1070-1135 mm, reflecting historical variability; Prophet forecasts a gradual decline from 1121.83 mm to 1100.96 mm, emphasizing long-term trends; and XGBoost yields a constant 1151.65 mm, highlighting its limitations without temporal feature engineering.

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Creative Commons Attribution 4.0 and The Open Definition

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The project title "A STUDY ON THE IMPACT OF TECHNOLOGICAL LAG ON ORGANIZATIONAL PRODUCTIVITY." This study investigates the impact of technological lag on organizational productivity, with a focus on how delayed adoption or underutilization of modern technologies affects overall operational efficiency and competitive performance. In an increasingly digital and fast-paced business environment, organizations that fail to keep pace with technological advancements may experience reduced productivity, inefficiencies in workflow, and diminished innovation capacity. Through a combination of literature review, case analysis, and empirical data, this research identifies key factors contributing to technological lag--including limited investment in IT infrastructure, resistance to change, and inadequate employee training. For this project the primary data has been collected directly from the respondents while the secondary data was collected from the books, articles, and internet and websites. The questionnaire was used to collect the data from the sample who were selected to the convenience sampling technique. This population size is 260 and the sample size is taken for the study is 155. Findings indicate that organizations experiencing significant technological lag often face decreased productivity due to outdated systems

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 Keywords

TECHNOLOGICAL LAG, PRODUCTIVITY

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 Abstract

Today, the dynamics of social media have modified people's communication; it has modified educational discourse. Social media has changed the communication methods of people in general; it has changed education- related communication. People talk about education on platforms like X, Instagram, Reddit, LinkedIn, and Facebook and these are some key places to do so. The purpose of this study to see how AI can understand people's sentiments regarding education. These methods help find out the top issues and the gaps in the issues. This will help us create better educational discussions and identify the issue that gets maximum coverage and the one ignored or missing. It helped spread educational discussions on social media. But it does have problems like false information and distraction. Different AI approaches are recommended from the study to enhance online educational discussions. More research should focus on better models for real-time identification of false information along with automation models for trend detection in the education field for better learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Media, Educational Awareness, Misinformation, Sentiment Analysis, Clustering, Microblogs, AI

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Protection of Children from Sexual Offences (POCSO) Act, 2012, was enacted in India to safeguard minors from sexual abuse and exploitation. Despite its noble intentions, the POCSO Act faces challenges that impede its efficacy, such as delays in legal proceedings, lack of public awareness, and inadequate resources. The backlog of cases in the judicial system leads to prolonged delays in justice for victims. Additionally, insufficient training for law enforcement and judiciary personnel hampers effective implementation. Enhancing awareness campaigns and allocating resources for training legal professionals can improve the act's execution. This study highlights the challenges and proposes solutions to enhance the POCSO Act's effectiveness in protecting minors from sexual assaults

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 Keywords

Protection of Children, Sexual Offenses, POCSO Act, Challenges, Awareness levels, legal procedure, Specialized courts

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The prevalence of white-collar crime in India has surged due to economic expansion, globalization, inadequate regulation, technological advancements, and the involvement of affluent businesses and unscrupulous officials. A collaborative effort involving law enforcement, regulatory authorities, government agencies, and businesses is imperative to address this issue. Robust internal controls and audits are essential. Businesses must foster transparency and accountability to encourage employees to report misconduct without fear. White-collar crime can lead to unemployment and exacerbate social divides. Law enforcement, regulators, and other stakeholders must develop comprehensive measures for prevention, detection, investigation, prosecution, and punishment.

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 Keywords

White-Collar crime, Economic offence, Economic regulation, Regulatory framework, Corporate Fraud, Embezzlement, Insider Trading, Money Laundering

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Creative Commons Attribution 4.0 and The Open Definition

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Analytics has become a key player in finance, helping with things like managing risks and catching fraud. This study looks into how effective data analytics really is when it comes to evaluating financial risks, detecting fraud, and meeting regulatory standards. It also talks about some of the challenges we face with current tools. The paper emphasizes important parts of risk assessment models--like stress testing, scenario analysis, and statistical techniques--that help organizations manage financial risks effectively. It also explores different methods used to spot fraud, such as recognizing patterns, finding unusual anomalies, and using predictive models. A big point is how we need to scale up computer analysis to handle the huge amounts of financial data out there. The study also dives into the tricky issues that come with big data--like making sure systems can handle larger datasets, keeping data private, and finding the right structure for preventing fraud. As fraud cases in finance continue to grow and become more sophisticated, securely sharing information across different platforms is more important than ever. That's why blockchain technology is brought up as a promising tool for fraud detection, because it offers transparency, unchangeable records, and strong security for transactions. Overall, this research tries to fill some gaps in what we already know by proposing data-driven, scientifically sound ways to manage risks, fight fraud, and promote ethical use of data. The goal is to help financial companies improve their fraud detection systems, stay compliant with regulations, and reduce risks, which finally makes the financial system safer for everyone.

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 Keywords

Financial Analytics, Risk Assessment, Fraud Detection, Predictive Modeling, Anomaly Detection.

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In today's increasingly interconnected world, the integration of Internet of Things (IoT) technology into industrial systems is revolutionizing how we approach safety and protection mechanisms. This project presents an IoT-enabled protection system specifically designed for three-phase Induction Motor, addressing critical hazards such as Overcurrent, Overvoltage, Over vibration, and Overtemperature. We utilize an Android application that connects to the Wi-Fi modem of the control circuit that is connected to the motor over the internet. The Node MCU is connected to the Wi-Fi modem. The Node MCU receives the Signals fron Sensors and sent to the appropriate relays. The relays then switch between Overtemperature and Over vibration and the sent Notification to the user via blynk app. Also, a Three Phase Voltage and Current Protection Device is used For the Protection of Motor from Over/Under Voltage and Over Current Protection.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

internet of things(IOT), induction motor, node MCU, relay.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Information Technology Act, 2000, was enacted to regulate cyber activities in India and to provide legal remedies for various forms of cybercrime. The Act includes provisions related to unauthorized access, data breaches, and electronic transactions, as well as specific sections dealing with online harassment and cyber stalking. One of the most debated provisions was Section 66A, which was initially intended to prevent online abuse but was later struck down by the Supreme Court of India in 2015 due to concerns over its vague and broad wording that led to misuse. Despite this, the IT Act continues to be the primary legal tool to address digital abuse, along with supplementary provisions in Bharatiya Nyaya Sanhita, 2023 (BNS), such as Sections 77 (stalking), 354 (defamation), and 349(4) (criminal intimidation).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber Crime, Digital Abuse, Legal Provision, Online Harassment.

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Creative Commons Attribution 4.0 and The Open Definition