Volume 13 | Issue 4 |

 Abstract

There are multiple methods available for monitoring traffic conditions on roadways. With the advancement of artificial intelligence (AI) in image processing technology, there is an increasing interest in creating traffic monitoring systems that utilize camera vision data. This research paper presents a technique for extracting traffic information from a camera positioned at an intersection, aimed at enhancing road monitoring systems. The approach employs a deep learning model (YOLOv4) for processing images to detect vehicles and classify their types. Vehicle trajectories are estimated lane by lane by correlating the detected vehicle positions with a high definition map (HD map). From these estimated trajectories, the traffic volumes for each lane's direction of travel are calculated. The effectiveness of the proposed method was evaluated using samples across distinct criteria: vehicle detection rate, traffic volume estimation. The findings indicate a 99% success rate in vehicle detection, introduced in this research demonstrates the potential for gathering detailed traffic data installed at an intersection. The integration of AI technologies represents the primary contribution of this study, highlighting significant potential for enhancing existing traffic monitoring systems

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 Keywords

Vehicle detection and counting, YOLO, artificial Intelligence

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Employee engagement and perception are vital for delivering high-quality healthcare services and achieving organizational effectiveness in private hospitals. This paper explores the impact of organisational culture on employee engagement and perception within the healthcare sector, with a focus on private hospitals. By examining various cultural frameworks and their relevance to hospital settings, the study identifies key factors that shape employee attitudes, motivation, and involvement in their roles. Elements such as leadership approach, communication style, shared values, and work environment are analyzed to understand their influence on employee satisfaction and commitment. The findings emphasize the importance of fostering a positive organisational culture that promotes trust, inclusiveness, and professional growth, ultimately enhancing employee engagement and the overall patient care experience.

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 Keywords

Keywords: Organisational Culture, Employee Engagement, Employee Perception, Private Hospitals, Work Environment

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Abstract The present study investigates the psychological implications of binge-watching behavior, particularly its impact on youth personality traits. Binge-watching, defined as viewing multiple episodes of a TV series in one sitting, has become increasingly common due to the rise of streaming platforms. This research explores the correlation between binge-watching and various personality factors using a questionnaire developed by Flayelle et al. (2020) and administered to 40 participants aged 18-25 through simple random sampling. The study reveals that binge-watching serves as a coping mechanism for many individuals, offering instant gratification, emotional regulation, and escapism. However, it also presents significant negative consequences, including increased isolation, disrupted sleep patterns, poor task management, and social withdrawal. Graphical data analysis supports the hypothesis that binge-watching significantly affects personality, often intensifying traits such as irritability, laziness, and emotional instability. The findings underscore the dual nature of binge-watching: while it offers entertainment and temporary relief, its excessive engagement poses risks to mental and social well-being, suggesting the need for awareness and balanced media consumption habits.

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Keywords: Binge-watching, personality traits, psychological effects, youth behavior, media consumption, coping mechanisms, emotional regulation

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The paper focus on social media and students. Today generation students live in social media. To understand how social media is used by student for studies is the main agenda of the paper. The primary and secondary data is used in preparing the paper. Google forms are used to collect data. 56 convenient samples are used in the paper. MBA student from Mysore are taken. To know about social media usage among students. Percentage analysis is used to analyze the data. The results indicate that students use social media for Entertainment and learning.

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 Keywords

KEY WORDS: Students, social media, you tube, Entertainment and learning.

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 Abstract

Introduction of Swiggy and Zomato

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 Keywords

Customer satisfaction, equality, price level

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This study investigates emotion-driven food recommendation systems, ingredient-identifying recipe proposals, and advancements in text-to-speech (TTS) technology. Emotion-based platforms such as 'MoodieFoodie' and 'Mood Canteen' leverage facial recognition and social media insights to recommend dishes aligned with users' feelings, enhancing satisfaction and emotional well-being. Recipe recommendation platforms like 'Makeat' and 'RecipeIS' employ YOLOv5 and CNNs for ingredient detection, providing customized suggestions based on available ingredients, thereby minimizing food waste. TTS systems, including Tacotron and WaveNet, apply deep learning techniques to produce natural and expressive speech, enabling multilingual and emotion-rich interactions. Together, these technologies enhance personalized and interactive experiences in food selection, cooking, and digital communication.

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 Keywords

Emotion-based recommendation, Ingredient recognition, Recipe suggestions, Text-to-speech (TTS), Facial recognition, Deep learning, Personalized recommendations.

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Cognitive Image Processing (CIP) analyzes and extracts meaningful data from images, aiding sectors like banking and healthcare. The manual entry of bank details into forms is prone to typographical errors and is time consuming. This paper presents an automated approach using CIP to extract relevant details from bank passbook images and auto fills bank forms. The system integrates image processing techniques to enhance text clarity and Optical Character Recognition (OCR) to extract relevant details with Natural Language Processing (NLP) techniques, including Regular Expressions (Regex) and Levenshtein Distance to enhance text extraction accuracy. The extracted data is used to automatically fill the forms. A user-friendly mobile application is developed using Replit. The application auto-fills bank forms, reducing typographical errors and improving efficiency. Users can capture passbook images, verify extracted details, and edit as needed. This solution streamlines form-filling, minimizing errors and saving time.

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 Keywords

Cognitive Image Processing, Tesseract OCR, NLP, Regex, Levenshtein Distance, Bank Form Automation.

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This research explores the impact of training and development on employee performance. The study aims to understand how structured training programs enhance skills, productivity, and job satisfaction. A mixed-method approach, including surveys and interviews, was employed to assess training effectiveness. Findings suggest that organizations investing in training witness improved employee engagement, reduced turnover, and higher efficiency. The study highlights the need for continuous learning and strategic training initiatives to maintain a competitive workforce.

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 Keywords

Training, Development, Employee Performance, Skill Enhancement, Job Satisfaction, Productivity, Learning Culture

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The traditional paper-based menu system in restaurants often leads to inefficiency and wastage due to the manual ordering process. This paper aims to address these issues by introducing a digital ordering system. Customers will be able to order dishes directly from their tables, eliminating the need for waiters and reducing wait times. The proposed system is expected to improve customer satisfaction, reduce operational costs, and minimize paper waste.

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 Keywords

Digital Ordering System, Restaurant Management, Customer Satisfaction, Operational Efficiency, Paperless Menu

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Now-a days, Talent analytics, People analytics are all terms used to describe the practice of applying analysis processes to workforce data to understand workforce-related business issues in all organisations. There are different ways in which HR can use talent analytics, it consists of a number of processes, enabled by technology that use descriptive, visual and statistical methods to interpret talent/people data, such as human capital, HR systems and processes, organisational performance. It helps in addressing HR challenges and organisational issues and provides an opportunity for every organisation to review and re-frame their strategies for organisational development and proper utilisation of talents. The discussion paper is meant for HR professionals and others who are looking for the Talent Analytics framework for long term HR management policies such as, key approaches, competencies and tools.

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 Keywords

Talent Analytics, Approaches, Outcomes, Barriers and Tools.

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Creative Commons Attribution 4.0 and The Open Definition