AbstractThe integration of IKS into computer education fosters cultural relevance and inclusivity, which improves the engagement, retention, and achievement of Indigenous learners. IKS presents holistic, relational, and community-centered techniques as useful substitutes for reductionist or solely logic-driven computer paradigms. IKS gives digital learning a deeper ethical and contextual dimension, grounded in long-term sustainability, reverence for the environment, and community well-being, empowering Indigenous communities by giving them control over the use and spreading of their knowledge and authorizing them to co-design. It provides Academicians with inclusionary, ethically sensitive resources and techniques while supplying the infrastructure that is required and in line with cultural and technical demands. Applying IKS in computer education, however, comes with a number of difficulties. These include inadequate teacher preparation, language hurdles, learning style disparities, technological and infrastructure deficiencies, and moral dilemmas pertaining to the ownership and use of information. It takes careful consideration of cultural settings, fair access to technology, and modified teaching methods to successfully integrate IKS. Co-designing and granting Indigenous communities authority over the use and spreading of their knowledge will empower them, providing Academicians with skills and techniques that are inclusionary and culturally sensitive while supplying the infrastructure that is needed while taking into account cultural and technological requirements. By working simultaneously, these ambitions can enhance computer education for Indigenous students in terms of inclusivity, ethics, and efficacy.
AbstractThis study presents a comparative analysis of rule-based and generative AI-based diet and workout recommendation systems, highlighting their effectiveness in delivering personalized health guidance. The rule-based model relies on predefined logic and static conditions, whereas the generative system leverages OpenAI’s language models via Lang Chain to generate dynamic, context-aware recommendations based on user inputs. To augment this comparison with cultural richness and holistic understanding, aspects of Indian Knowledge Systems (IKS) specifically Ayurveda and indigenous fitness practices such as Yoga are brought in as a complementary model. Prakriti (constitution of the body), Ritucharya (seasonal adjustment), and food-mind typologies (Satvik, Rajasik, Tamasik) form a basis for culturally sensitive customization. The blending of IKS has the potential to improve both systems by infusing conventional health knowledge into contemporary AI-based recommendation systems, thus enhancing relevance, acceptability, and user satisfaction in multicultures.
AbstractCPU scheduling is a very crucial part of a multiprogramming operating system and it is the main function of the operating system. It determines which process is served by the CPU next for maximum CPU utilization. This study compares CPU scheduling method algorithms with the Indian Knowledge System (IKS), including FCFS (First Come First Serve), SJF (Shortest Job First), Round Robin, and Priority Scheduling. The study provides a distinctive viewpoint on justice, balance, and ethical computing by comparing ideas from ancient Indian scriptures. It offers a culturally rich perspective on algorithm creation, emphasizing the ways in which conventional Indian knowledge can influence and motivate contemporary computational techniques. This paper compares contemporary CPU scheduling techniques with traditional Indian philosophical ideas and then compares the outlines of these scheduling algorithms in depth to evaluate the Performance, Implementation, Turn-Around Time (TAT), Waiting Time (WT), pros, and cons through a comparison table.
AbstractVedic Mathematics (VM) is an ancient system of mathematical techniques derived from Indian scriptures that offers a unique framework that emphasizes simplicity, mental agility, and pattern-based problem-solving. While traditionally applied to arithmetic and algebra, the core principles of VM show promise for modern computational domains such as machine learning (ML). In this paper, we have discussed how Vedic Sutras, namely Urdhva-Tiryakbhyam, Anurupyena, and Sankalana-Vyavakalanabhyam, can be adapted to optimize operations in ML. We examine their application in matrix multiplication, feature scaling, and gradient estimation and highlight results that demonstrate their efficacy. The integration of these ancient principles into cutting-edge ML models, such as Convolutional Neural Networks (CNNs), opens new directions for performance optimization and algorithmic innovation.
AbstractIndia has a centuries-long tradition of contribution to mathematics, particularly in the field of cryptography and number theory, and has been a crucible for the development of mathematics throughout the world. The first written record of the binary system was made by ancient Indian scholars based on their work on Sanskrit prosody (Chandahsastra) c. 200 BCE by Pingala; ultimately, it has culminated in our modern binary code employed in digital computation (Kak, 1998). The early work of Aryabhata (c. 5th century CE) utilized methods of modular arithmetic, now commonplace in cryptographic methods such as RSA (Plofker, 2009). Introduction In the Arthashastra of Kautilya (c. 3rd century BCE), methods of coded communication and information hiding were described as weapons of statecraft, indicating early applications of cryptographic ideas (Rangarajan, 1992). In addition, the work on combinatorial logic and arithmetic by Bhaskara II is consonant with ideas employed today for error correction and secure key exchange (Joseph, 2011). The further investigation of these systems is also pertinent to the development of culturally grounded and mathematically sound models for the modern cryptographic setting.
AbstractDeep philosophical, logical, and mathematical insights can be found in abundance in Indian Knowledge Systems (IKS). Here, the foundational Indian logic systems of Nyaya, Mimamsa, and Buddhist logic are examined so that we can show how they might inspire and improve modern methods in computational reasoning, natural language processing, and artificial intelligence (AI). In this, we investigate how these values or ideas can support the revolutionary progress of ethical, explicable, and culturally relevant AI by comparing ancient reasoning techniques with contemporary algorithms. Using Indian logical notions like the Nyaya syllogism and Pramana (means of knowing), the research suggests a hybrid computational architecture and assesses its potential for machine lea rning interpretability and decision-making models.
AbstractIndian Knowledge Systems represent a diverse collection of traditional insights, cultivated over extensive periods through observation, practical experience, and spiritual inquiry. Current challenges involve interpr etational complexities, data limitations, cultural context sensitivities, and intellectual property considerations. The advancement of Artificial Intelligence and Machine Learning offers a distinctive opportunity to merge the practical and philosophical dimensions of IKS with data-centric and computationally intensive methodologies. This paper explores the intersection of IKS with AI/ML, highlighting how time-honored Indian concepts from fields like medicine, agriculture, linguistics, astronomy, and logic can enrich and guide contemporary technological advancements.
AbstractThe Indian Knowledge System (IKS) is a methodical and organized approach to conveying knowledge from one generation to the next. It distinguishes itself as a process of knowledge transfer rather than merely a tradition. Rooted in the Vedic literature, the Upanishads, Vedas, and Up Veddas, the IKS serves as a foundational principle recognized by the National Education Policy (NEP-2020). Information Technology is about using technology to create, store, transmit, and manipulate data. In current perspectives, without the use of IT, we cannot imagine the globe around us. IT helps us to store, retrieve, process, communicate, analyze, share, and provide security to our information. This paper develops the conceptual framework of a blend of IT and IKS. The objective of this research is to showcase how Information Technology helps in preserving and promoting the Indian Knowledge System in today’s technical era. This paper focuses on the spectrum, challenges faced by the Indian Knowledge System, and how IT applications help IKS to overcome these challenges. The concludes that IT provides the tools to unlock the potential of IKS, while IKS offers a wealth of knowledge and wisdom that can be used to inform and improve various aspects of IT and society as a whole.
AbstractThe Indian Knowledge System (IKS) incorporates a vast range of fields in which astrology plays a crucial part in its scientific and artistic heritage. In this paper, the field of Indian astronomy within the broader Indian Knowledge System, in conjunction with contemporary machine learning techniques, is explored. This research investigates the feasibility of predicting entrepreneurial potential through astrological birth chart features using supervised machine learning methods. Data are collected via a structured survey, capturing precise birth date, time, and location alongside self-reported entrepreneurial status. Astrological variables such as planetary positions, zodiac signs, house placements, and interplanetary aspects are derived using Indian astrology. These features form the input space for classification algorithms, including Random Forest and Support Vector Machines, aimed at discriminating between entrepreneurial and non-entrepreneurial participants. Model performance is evaluated using standard metrics such as accuracy, precision, recall, and F1-score with cross-validation. The study contributes to behavioral analytics by exploring non-traditional predictive factors rooted in cultural and psychological frameworks. Results clarify the extent to which astrological data, when combined with AI techniques, can serve as meaningful predictors of entrepreneurial traits.
AbstractThe importance of Rasa Theory, an old Indian aesthetic and emotional framework, in improving success ful communication is examined in this essay. Rasa Theory, which has its origin in the “Natya Shastra,” divides human emotions into nine rasas, or emotional flavors, and provides information on how emotions are expressed and resonate. We look at how emotional intelligence, empathy, and nuanced expression are fostered by comprehending and putting Rasa Theory into practice, which can enhance communication. Our study explores how “Rasa Theory” might influence communication tactics in a range of settings, such as cross-cultural, organizational, and interpersonal communication. This study intends to advance understanding of the function of emotions in successful communication by examining the correlation between “Rasa Theory” and communication.
AbstractIKS is a vast collection of historical information, including astronomy, mathematics, languages, logic, and computing techniques that have influenced modern scientific disciplines. With an emphasis on AI, the paper shows the interdisciplinary use of IKS in computer science. By contrasting contemporary computing paradigms with traditional Indian computational methods, we show how IKS can aid in the creation of new technologies. From an Indian epistemological standpoint, the study also examines the ethical and philosophical facets of computers. In the era of digitization, integrating artificial intelligence (AI) with traditional knowledge systems presents a unique solution to preserving and advancing cultural heritage. India, with its unique treasure of traditional knowledge spanning various sectors including medicine, agriculture, and art, is at the peak of this intriguing intersection. NEP 2020 of India has set a standard for merging IKS into contemporary education with the objective of promoting and revitalizing cultural knowledge incorporation with contemporary learning. This method demonstrates a huge significance of classical knowledge in solving present-day challenges and improving academic results. AI may be very important for preserving knowledge. We can use it to build databases and repositories to ensure the survival of traditional knowledge, farming practices, and medical practices for the next generation.
AbstractThe resurgence of interest in herbal medicine has led to its increased application in various industries, including cosmetics. Herbal extracts, derived from diverse plant parts, have been utilized for centuries in traditional medicine and culinary practices. Phytochemicals present in herbs like Camellia sinensis (green tea), Curcuma longa (turmeric), Panax ginseng, Aloe barbadensis (aloe vera), and Lavandula angustifolia (lavender) exhibit antioxidant, anti-inflammatory, and other beneficial properties. The integration of herbal extracts into cosmeceuticals, a fusion of cosmetics and pharmaceuticals, offers a promising approach to developing natural and sustainable cosmetic products. However, despite their potential benefits, the efficacy and safety of herbal ingredients in cosmetics remain understudied. Further research is necessary to standardize and validate the use of herbal extracts in cosmetic formulations, ensuring their safe and effective application. This review aims to explore the role of herbal medicine in modern cosmetics, highlighting potential benefits, safety considerations, and future research directions.
AbstractFuture-oriented convergence between Indian Knowledge Systems (IKS), Artificial Intelligence (AI), and Machine Learning (ML) represents a valuable trans-disciplinary area of exploration. IKS embodies the rich epistemologies of ethics, sustainability, and holistic, deep knowledge of Ayurveda, Yoga, Sanskrit grammar, and classical logic. More contemporary AI/ML are often premised on algorithms and big data and may lack cultural nuance, particularly with humanistic ethics. The paper presents the exploration of whether AI and ML may actually serve the IKS corpus to both preserve, analyze, further develop, and more effectively utilize the texts, practices, and beliefs surrounding them, and to propose conceptual frameworks wherein AI systems are enhanced by ethical reasoning belief systems, non-binary logic, and a value system from Indian philosophy. The theoretical crossroads of IKS and AI/ML offer new ways to conduct knowledge representation, ontology-aware in a culturally situated way, and advanced natural language processing opportunities through an Indian subcontinent language base such as Sanskrit. But this paper also discusses challenges amidst opportunity to bring clarity into application domains, a research agenda, and an innovation agenda. At a minimum, the paper proposes AI systems that are not only technological achievements but also culturally situated and ethically grounded and therefore more effectively able to characterize and relay an Indigenous worldview in focus in the digital age.
AbstractThe convergence of traditional Indian Knowledge Systems (IKS) with modern biological data analysis offers a groundbreaking direction in contemporary biosciences. This paper investigates the potential of integrating ancient Indian wisdom such as Ayurveda, herbal remedies, and indigenous ecological practices with advanced computational approaches including artificial intelligence (AI), data analytics, and bioinformatics. It outlines a multidisciplinary model for reinterpreting traditional insights using digital tools, enabling scientific validation, scalability, and practical implementation. Computational platforms like R, Python, BLAST, and machine learning algorithms play a crucial role in digitizing and analyzing this knowledge, while also advancing predictive modeling and systems biology. This synthesis opens new avenues in drug discovery, personalized healthcare, sustainable farming, and environmental protection. By mapping phytochemical profiles to molecular targets, researchers can identify bioactive compounds with therapeutic relevance. Traditional taxonomies and usage patterns can be translated into structured databases, offering repositories for future ethnopharmacological research. The integration further supports the development of interoperable tools for hypothesis generation, adverse effect prediction, and precision treatment strategies. Moreover, blending ancient knowledge with high-throughput technologies strengthens community-based healthcare and biodiversity conservation. This fusion represents not merely a revival of tradition but a forward-looking strategy to solve pressing global health and ecological challenges through scientific innovation.
AbstractThis paper studies how financial innovation helps rural women in India to become more empowered. The main goal is to bring together evidence from many studies to show how microfinance and digital financial services support women’s inclusion in the economy. The review uses information from different types of research, such as literature reviews, surveys, case studies, and mixed methods. This approach provides both a broad picture and close-up details of women’s experiences. The findings show that microfinance and new digital tools have improved women’s access to savings, credit, and payment systems. Government programs like the Pradhan Mantri Jan Dhan Yojana and the India Stack have opened more bank accounts and promoted digital literacy. Mobile banking, digital payment platforms, and secure identification systems reduce distance and cost barriers. These changes give women more control over money matters and improve household welfare. However, challenges remain. Poor internet service, weak infrastructure, low digital skills, and fears of fraud make it hard for some women to use digital finance. Cultural traditions and gender roles also limit women’s independence. The paper recommends stronger digital training, better security systems, gender-sensitive policies, and community programs to close these gaps and ensure lasting empowerment.
AbstractAncient Indian mathematical systems, particularly those found in the Vedic Sutras, offer efficient mental computation techniques with deep algorithmic insight. These sutras, codified by Bharati Krishna Tirthaji in the early 20th century, present concise formulae that can be reinterpreted in the framework of modern computational theory. This paper explores the translation of selected Vedic Sutras into modern programming logic using Python and Java. We focus on three widely studied sutras—Urdhva-Tiryagbhyam (vertical and crosswise), Nikhilam Navatashcaramam Dashatah (all from 9 and the last from 10), and Paravartya Yojayet (transpose and adjust). We provide algorithms, code implementations, and a comparative analysis with conventional algorithms in terms of efficiency and complexity. This work highlights the value of Indian Knowledge Systems in global computational paradigms and proposes their integration into algorithmic education to enhance mathematical and computational thinking.
AbstractAccurate prediction of concrete’s ability to hold weight is very important to ensure that the structures are safe and to get the best use from the materials used in building them. With this study, the process of prediction is improved by the application of feature importance analysis in the Random Forest Repressors system. It finds the features that have the greatest impact, allowing the model to place more emphasis on these key parts. To measure how well the model performed, the accuracy was checked; the results proved that the Mean Squared Error was reduced from 44.10 to 28.08, and the R2 scores increased from 0.8288 to 0.8910. Both error and the trustworthiness of the model improved. This work aligns with the views of the Indian Knowledge System (IKS), which calls for the use of practices that do not have a negative impact on the environment and for utilizing what is available while considering how long the structures will last. Traditional building methods in India demonstrated that it was easy to understand how the materials in the structures interacted with the way people used their land and how the structures fit into the landscape. By utilizing these long-standing ways of thinking, this work connects new perspectives on the art of civil engineering with the traditional knowledge of Indian builders. It does this by not only making what we learn here more useful but also by showing how to build sites that harmonize with the land and are beneficial to us.
AbstractCryptography is the discipline concerned with the processes of encoding and decoding information that is transmitted from a sender to a recipient. This study compares the cryptography algorithms and encoding methods described in ancient Indian texts. In the fourth century BCE, Kautilya, who is also referred to as Chanakya, authored the Arthashastra, a foundational text concerning Indian governance, military tactics, and economic strat egies. Thestructured use of secret communication and espionage are two of its lesser-known but incredibly profound aspects; these ideas are very similar to those of contemporary cryptography. In this review, cryptographic concepts from the Arthashastra such as coded communications, secure data transmission, and the application of steganography and concealment are examined and contrasted with modern cryptographic ideas. By highlighting the importance of ancient Indian strategic thought in the current discourse on cybersecurity this work aims to reveal the native roots of information security in India.
AbstractThe name “Techno-Tradition” was created by fusing the words “technology” and “traditions.” It demonstrates how the old knowledge of the Indian Knowledge System (IKS) and contemporary technological tools—particularly computers, software, and digital platforms—have been combined. A broad spectrum of conventional proponents of the organized incorporation of IKS into formal education at all levels is included in the IKS. IKS encourages cultural continuity, environmental awareness, and a balanced way of living. Strong instruments for recording, interpreting, and sharing traditional Indian knowledge are provided by artificial intelligence (AI). AI can help with the interactive study of classical languages, digitization of old writings, and individualized health suggestions. IKS’s accessibility, relevance, and applicability in the twenty-first century are improved by its combination with AI. When combined, they can make a substantial contribution to creating a future that is knowledge-rich, culturally anchored, and sustainable. Disciplines such as architecture, astronomy, mathematics, yoga, Ayurveda, and ethics continue to influence modern living through holistic well-being and ecological behaviors. Applications such as yoga, Ayurvedic medicine, and Vaastu-based architecture are still very much in use today. Despite their importance, IKS is frequently misunderstood by the general public and underrepresented in contemporary educational institutions.
AbstractThe contribution of Indian Knowledge System (IKS) has played significant role in global advancements in mathematics and artificial intelligence (AI). From ancient India, the invention of zero, algebra, and calculus contributed to the conceptualization of logical structures that influenced modern AI. India’s ancient literature continues to shape contemporary sciences. This paper deals with the study of the influence of the IKS on mathematics and AI by exploring contributions from Vedic mathematics, computational logic, and Sanskrit-based linguistic models that develop the algorithms of AI-driven technologies.
