Volume 13 | Issue 4 |

 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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Talent Analytics, Approaches, Outcomes, Barriers and Tools.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper investigates the role of distorted thinking patterns in familial dysfunction in Mark Haddon's The Curious Incident of the Dog in the Night-Time. Maladaptive thought patterns such as catastrophizing, black-and-white thinking, emotional reasoning, etc. have a substantial influence on behavior and emotional well-being. The cognitive distortions of all the main characters in this novel result in a loop of miscommunication and conflicts. They further lead to a dysfunctional family. This paper reveals how the major characters' unhealthy cognitive processes perpetuate relational and emotional distress. It brings out the moments of both cognitive distortions and cognitive restructuring. Furthermore, this paper highlights the importance of recognizing and addressing cognitive distortions to foster healthier family dynamics. It offers a compelling intersection of psychology and literary analysis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CBT, cognitive, dysfunctional family, psychological fiction, maladaptive, Haddon

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Uniform Civil Code (UCC) has been a subject of debate in India for decades. It aims to replace personal laws based on religion with a common set of civil laws governing marriage, divorce, inheritance, and adoption. The historical context, constitutional provisions, difficulties, and ramifications of implementing UCC in India are all critically examined in this paper. It also explores judicial interpretations and contemporary perspectives on the subject. Through an examination of the existing literature and legal frameworks, this research emphasizes the importance of UCC in promoting gender justice and national integration while responding to issues of religious diversity and cultural identity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Legal Pluralism in India Personal Laws Reform Secularism and UCC Article 44 Constitutional Mandate Minority Rights vs Uniformity Gender Justice and UCC Religious Autonomy vs State Intervention Codification of Civil Laws Triple Talaq Judgment Impact Goa Civil Code Precedent Multicultural Jurisprudence Judicial Advocacy for UCC Intersection of Law and Religion Constitutional Morality in Family Law Identity Politics and Legal Reform Human Rights Framework for UCC UCC and Legal Unifo

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Efficacy of Ayurvedic Treatment in Managing Premature Ejaculation and Erectile Dysfunction his report describes a 35-year-old, non-diabetic male presenting with premature ejaculation (PE) and erectile dysfunction (ED). An Ayurvedic treatment protocol was administered over three months. Pre- and post-treatment assessments revealed significant enhancements in ejaculation time (from ~10 sec to 5 min), improved erectile sustainment and ability for a second erection, and increased serum testosterone (120 to 360 ng/dl). These outcomes suggest Ayurvedic therapy holds potential for effectively managing PE and ED, warranting further investigation into its efficacy for these common male sexual health conditions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Erectile Dysfunction, Premature Ejaculation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Corporate Social Responsibility (CSR) in India is increasingly being viewed as a crucial component of sustainable development that requires a long-term perspective that goes beyond short-term profit motives. This analysis of corporate social responsibility in India highlights the many scopes of this trajectory, which has seen both progress and challenges. This paper tries to evaluate the development of CSR in the Indian context based on mandatory spending versus strategic integration, within a robust regulatory framework. Analyzing leading corporations' CSR expenditures over several fiscal years underlines the fact that there is a serious growth in investment but also nuanced variations, reflecting companies' strategic choices and responses to internal and external pressures. This study analyzes the Corporate Social Responsibility (CSR) practices of India's topmost valuable companies, focusing on trends, challenges, and impacts from FY 2018-19 to FY 2023-24. CSR in India has evolved into a strategic approach that aligns corporate objectives with societal needs, guided by the Indian Companies Act of 2013. The analysis highlights significant variations in CSR spending, with Reliance Industries leading in annual contributions and ICICI Bank achieving the highest growth rate.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CSR, valuable companies, sustainable development.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The research explores the development of a unified multimedia system geared towards improving content access and creation by incorporating several major features such as Text-to Speech, automated transcription, video captioning, audiobook creation, and audio video integration. The web application provides a comprehensive solution for users who face difficulties due to visual, auditory, or cognitive factors by transforming text into speech, generating captions for videos, and publishing audiobooks for text-to-speech listening. Finally, the users can combine audio and video material for more enhanced multimedia presentations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Multimedia Platform, Text-to-Speech, Transcription, Caption Generation, Audiobook Creation, Audio-Video Merging, Accessibility, Content Enhancement, Unified Platform.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the rapid advancement in artificial intelligence and the growing importance of intelligent transport systems, there has emerged a vital need to develop vehicle monitoring systems that are not just reactive, but predictive in nature. AutoCare AI is designed to proactively assess vehicle health using a fusion of computer vision and audio analysis, thereby empowering users with timely insights. By transforming routine maintenance into a smart, data-driven process, AutoCare AI aims to increase vehicle longevity, reduce unexpected failures, and enhance road safety.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

5000

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Predicting stock market trends is a challenging task due to the highly volatile and nonlinear nature of financial data. Traditional forecasting models often struggle to capture complex market patterns, necessitating the adoption of advanced machine learning and deep learning approaches. This study presents a comprehensive stock price prediction system that integrates AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) networks, and Linear Regression models for enhanced forecasting accuracy. Additionally, sentiment analysis is incorporated to assess market sentiment using social media data, providing deeper insights into stock price fluctuations.The ARIMA model is employed for time-series forecasting, effectively capturing linear trends, while LSTM, a deep learning architecture, is used to learn long-term dependencies in stock price movements. Linear Regression serves as a statistical approach for trend estimation. Sentiment analysis, conducted using TextBlob and Twitter API, enables the evaluation of public perception, further refining stock predictions. The system is deployed as a Flask-based web application, allowing users to perform real-time stock analysis.Experimental findings indicate that LSTM outperforms ARIMA and Linear Regression in capturing intricate stock price variations, while sentiment analysis provides valuable supplementary information for trend forecasting. This research underscores the significance of combining time-series analysis, deep learning techniques, and sentiment analysis to improve stock market prediction reliability. Future enhancements may include the integration of additional financial indicators and real-time data streams for greater predictive accuracy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

stock market prediction, ARIMA, LSTM, linear regression, sentiment analysis, deep learning, machine learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

???? ??????? ?? ????????? ????? ???????? ??? ?? ?? ?? ????? ???? ????? ?? ??? ??? ?? I ???? ?? ????? ??? ?? ??? ?? ???? ??? ??? ?? ???? ?????? ??, ?? ???? ?? ??????? ??? ???? ?? ??? ?? ???? ?? I ?????? ????- ???? ??? ????? ??? ?? ?????? ??? ?????? ??? ?? ?? ??????? ?? ???? ?? ??????? ?? ???????? ???? ??? I ??? ?? ??? ??????? ???? ??? ??? ????? ?? ?? I ???? ???? ?? ??? ????? ???? ?? ?????????? ?? ??? ????? ??? ??? ???? ??????? ??????? ???? ?????? ?????? ????? ??? I ????? ?????? ??? ??? ?? ?????? ????? ??? I ???? ?? ?????? ???? ?? ???????? ?? ?????? ???? ?? ?? ???? ??? ????, ?? ?????? ???? ???? ??? ???? ?? ???? ?? ?? ?? ?? ???? ??? ???????? ?? ???? ?? ?? ???? ??? I ???????? ?? ???? ??? ??? ?? ?? ??? ?????? ??? ?? ???? ????? ??? ???????? ??????? ?? ???? ?????? ???? ??? ?? ?? I ?? ?? ????????? ?? ??? ???? ???? ???? ??????? ???? ???, ????? ?? ?????? ????? ?? ???? ?? ????? ?? ????? ??????? ???????? ?? ??? ??? ?? ?? ???? ???? ??????, ???? ???? ??? ??? ?? ????? ?? ??? ????? ?????? I ??? ???????? ?? ????? ??? ???? ???? ?? ??????? ?? ??????? ???? ???, ????? ??? ?? ???????, ?????? ??? ???????? ????? ???? ??????? ?? ?????? ??? ??? I ??????? ????? ???, ????, ????, ????,???? ????? ??? ?? ?????????? ?? ???? ???????? ??????? ?? ?????, ????? ?? ???? ?? ????, ???????? ??? ???? ????? ?????? ???? ?? I ??????? ????? ?? ???? ????? ???????? ???- ??????? ?? ???? ?????, ????, ????????, ???????, ???? ?????? I ??????? ??? ?? ?????????? ?? ???? ?????? ?? ??? ??? ?? ?? ???? ???????-??????? ?????? ?? ??????? ?? ???? I ???????? ??? ???? ??? ?????? ????? ??? ??????? ??????? ?????? ?? ?????? ?? ???? ?? ??????? ??? ????? ???? ??? ?? I

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

??????? ?????, ???????-??????? ?????? I

  License

Creative Commons Attribution 4.0 and The Open Definition