The Voice of Creative Research

A Study on Artificial Intelligence as a Tool for Transforming Indian Agricultural System and its Role in Social Transformation among the Rural Communities

Korra Parashuram — 2026-04-01

Humans have been characterized by their quest for innovation. Since the dawn of humanity, when nomadic hunter-gatherers started making stone tools, mastering fire, and establishing settled farming communities, we have been shaping our world with creativity. The development of sophisticated irrigation systems, crop rotation techniques, and selective domestication practices was a result of agricultural revolutions. These advancements greatly increased productivity and subsequently formed the basis for urbanization and commerce. Furthermore, successive industrial and technological revolutions brought forth machines, steam power, and mass production, ultimately leading to the digital age, service economies, automation, and advancements in artificial intelligence and space exploration. In India, the agricultural sector, which employs approximately 42% of India's workforce and accounts for about 18% of national GDP, is adopting Agriculture 4.0. The revolution in next-generation agriculture is characterized by the coming together of advanced technologies such as drones, remote sensing, AI for pest detection, and IoT-based soil and water management. Programs like the Agri-India Hackathon, Attracting and Retaining Youth in Agriculture (ARYA), Rashtriya Krishi Vikas Yojana, and Agri-Tech Innovation Hubs are fostering a multitude of agri-startups focused on AI-driven irrigation advisory tools, mobile soil testing labs, and bio-input alternatives to chemical fertilizers through targeted seed funding, mentorship, and market access. Digital skills, particularly those powered by artificial intelligence, are more than just technical knowledge; they represent a pathway to true empowerment for rural communities. Communities gain financial security, bargaining strength, and the capacity to ensure their own futures when they have access to skills. However, the path ahead necessitates ongoing investment in accessible internet infrastructure, tools in the local language, and inclusive policy frameworks. Al will continue to be a privilege for the privileged few if the digital divide is not closed.

Artificial Intelligence and Its Role in Industries

Dr. Kampelli Arjun — 2026-04-01

Artificial Intelligence (AI) has emerged as a transformative force across industries, reshaping traditional business models and enabling data-driven decision-making. By leveraging technologies such as machine learning, natural language processing, computer vision, and robotics, AI enhances efficiency, accuracy, and scalability in industrial operations. In manufacturing, AI-driven automation and predictive maintenance reduce downtime, optimize production, and improve quality control. The healthcare sector benefits from AI through advanced diagnostics, personalized treatment plans, drug discovery, and efficient patient management systems. In finance, AI supports fraud detection, risk assessment, algorithmic trading, and customer service through intelligent chatbots. Retail and e-commerce industries utilize AI to analyze consumer behavior, optimize supply chains, manage inventory, and deliver personalized marketing experiences. Similarly, AI plays a critical role in transportation and logistics by enabling route optimization, demand forecasting, and the development of autonomous vehicles. Despite its significant advantages, the adoption of AI presents challenges, including ethical concerns, data privacy issues, workforce displacement, and the need for robust regulatory frameworks. Addressing these challenges is essential to ensure responsible and inclusive AI integration. Overall, AI acts as a catalyst for innovation and competitiveness, empowering industries to adapt to rapidly changing market dynamics. As AI technologies continue to evolve, their role in shaping the future of industries will become increasingly central, driving sustainable growth and operational excellence across the global economy.

Impact of Artificial Intelligence on the Productivity of the Indian Economy

Dr. M. Sridevi — 2026-04-01

Artificial Intelligence (AI) has emerged as a transformative force in the global economy, and India is no exception. As one of the fastest-growing economies with a rapidly expanding digital infrastructure, India stands at the cusp of an AI-driven revolution. The integration of AI technologies—ranging from machine learning algorithms and natural language processing to robotics and predictive analytics—has begun to reshape productivity across multiple sectors, including manufacturing, agriculture, healthcare, finance, and public administration. AI’s impact on productivity in India can be understood through three primary dimensions: process efficiency, decision-making enhancement, and innovation enablement. In manufacturing, AI-powered automation and predictive maintenance have reduced downtime, optimized resource utilization, and improved quality control, leading to significant cost savings. In agriculture, AI-driven crop monitoring, weather prediction, and precision farming techniques have increased yield per hectare while minimizing input wastage. Similarly, in healthcare, AI-assisted diagnostics and patient data analytics have improved service delivery speed and accuracy, enabling medical professionals to serve more patients effectively. From a macroeconomic perspective, AI adoption has the potential to contribute an estimated USD 500 billion to India’s GDP by 2025, primarily through productivity gains. These gains stem from the ability of AI systems to process vast datasets in real time, identify patterns invisible to human analysis, and recommend optimal courses of action. This capability not only accelerates decision-making but also reduces human error, thereby enhancing overall operational efficiency. However, the productivity benefits of AI are not without challenges. The transition to AI-driven systems requires significant investment in digital infrastructure, workforce reskilling, and ethical governance frameworks. Without adequate training and adaptation, there is a risk of widening the skills gap, potentially leading to short-term job displacement in certain sectors. Moreover, issues related to data privacy, algorithmic bias, and unequal access to AI technologies could limit the equitable distribution of productivity gains. Government initiatives such as the National Strategy for Artificial Intelligence and programs under Digital India are aimed at fostering AI innovation, encouraging public-private partnerships, and ensuring that AI adoption aligns with inclusive growth objectives. By focusing on skill development, research funding, and regulatory clarity, India can maximize AI’s productivity potential while mitigating associated risks. In conclusion, AI represents a pivotal opportunity for India to enhance productivity across industries, drive economic growth, and strengthen its position in the global digital economy. The key to realizing this potential lies in a balanced approach—leveraging AI’s capabilities for efficiency and innovation while ensuring that the benefits are widely shared across society. With strategic investments, robust policy frameworks, and a focus on human-AI collaboration, India can harness AI not just as a tool for productivity, but as a catalyst for sustainable and inclusive economic transformation.

Impact of Artificial Intelligence on Job Creation: An Analytical Study

Dr. Afsari Osmani — 2026-04-01

Technological advancements, particularly Artificial Intelligence (AI), are transforming employment patterns across sectors by reshaping the nature of work and generating new job opportunities. This study examines the impact of AI on job creation, with a focus on emerging employment opportunities, skill transformation, and workforce challenges. Using a descriptive and analytical research design based on secondary data from academic journals, policy reports, and research databases, the study analyzes sector-wise employment trends influenced by AI adoption. The findings reveal that AI has reduced routine and repetitive tasks, while simultaneously increasing demand for skilled professionals in areas such as data analytics, machine learning, robotics maintenance, and hybrid occupations combining domain expertise with AI tools. The study also identifies key challenges, including skill mismatch, limited access to reskilling programs, and growing inequality in employment opportunities. Policy measures such as integration of digital skills into education, expansion of reskilling initiatives, and fostering industry-academic collaboration are essential to maximize AI’s potential for sustainable and inclusive employment growth. The study concludes that, when complemented with appropriate skill development strategies, AI can act as a catalyst for job creation and economic transformation rather than solely as a source of job displacement.

Attitude of Post Graduate Level Students towards AI Impact on Education in Pondicherry University

Chandan Das — 2026-04-01

Artificial Intelligence is introduced as a computational concept in the mid-twentieth century; it has evolved from simple automation to transformative force in higher education to help all students develop skills according to their own interests with flexibility. The goal behind this system is to reduce the pressure on students in the higher education system. The aim of the study is to find out the post graduate level students attitude towards the impact of AI in Pondicherry University. The study is quantitative in nature and the research design is descriptive survey approach. The researcher used 30questionnaires for 286 samples to collect the data through simple random sampling. For data analysis Mean, SD, Degree of Freedom and t-test have used. The results of the study reveals that, the attitude level of post graduate level students towards AI impact on education is moderate. Urban post graduate level students have shown better attitude than rural post graduate level students towards AI impact on education. It has also found that comparatively male post graduate level students have more favourable attitude towards AI impact on education than the female post graduate level students. Science stream students have comparatively more favourable attitude towards AI impact on education than the arts stream post graduate level students.

Sectoral Impact of Artificial Intelligence on Employment: Evidence from Achampet, Nagarkurnool District of Telangana State

Dr. Anjaneyulu Gundu — 2026-04-01

Artificial Intelligence (AI) has emerged as a transformative force reshaping production processes, labour demand, and employment structures across sectors. While AI adoption has expanded rapidly in urban and industrialized regions, its implications for employment in semi-rural and rural economies remain underexplored. The present study examines the impact of Artificial Intelligence on employment in agriculture, industry, and service sectors in Achampet of Nagarkurnool District, Telangana, based on primary data collected from 120 respondents. The study applies suitable statistical tools such as Chi-Square Test, One-Way ANOVA, Correlation Analysis, and Mean Score Analysis to analyze sector-wise awareness, adoption, perception, skill requirements, and income effects of AI. The findings reveal significant sectoral differences in AI awareness and adoption, with the service sector leading, followed by industry and agriculture. While AI is largely perceived as an opportunity in the service sector, agricultural workers express concerns regarding job displacement. The study concludes that AI influences employment not merely through job loss or creation, but through job transformation and skill reorientation, highlighting the need for inclusive policies, targeted training, and sector-specific interventions.

A Study on the Role of Artificial Intelligence in Consumer Decision Making in Karimnagar City

Doosa Mamatha — 2026-04-01

Artificial Intelligence (AI) has emerged as a powerful technological force transforming the way consumers search for information, evaluate alternatives, and make purchasing decisions. AI-based tools such as recommendation systems, chatbots, voice assistants, and personalized advertisements increasingly guide consumer choices by offering customized, data-driven insights. The present study attempts to analyze the role of Artificial Intelligence in consumer decision-making in Karimnagar City. The study is based on primary data collected from 100 respondents using a structured questionnaire. The objectives include examining the socio-economic profile of consumers, assessing their awareness and usage of AI-based tools, and evaluating the extent to which AI influences their purchase decisions. Statistical tools such as percentage analysis, weighted average method, and chi-square test have been employed for analysis. The findings reveal that a majority of consumers possess moderate to high awareness of AI applications and that AI exerts a significant influence on their buying behavior, particularly among young and educated respondents. The study concludes that AI has become an integral component of modern consumer decision-making, necessitating responsible, transparent, and consumer-centric adoption by businesses.

The impact of AI on Job creation in India – A study

Dr. M. Manoj Kumar — 2026-04-01

The integration of AI into workplaces necessitates a workforce equipped with new skills. There is a growing demand for expertise in fields such as data science, machine learning, and AI development, resulting in new job opportunities focused on managing, maintaining, and advancing AI technologies.AI serves as a force multiplier, enabling humans to concentrate on higher-order tasks that require creativity, critical thinking, and emotional intelligence. Instead of replacing workers, AI augments human capabilities, leading to a more dynamic and productive workforce. Traditional industries are experiencing a shift as AI becomes more prevalent. For instance, manufacturing is evolving with the emergence of smart factories, which create jobs in AI-driven production and maintenance, changing the way products are created and delivered. The present paper made an attempt to study how AI and automation are transforming the Indian job market and to examine AI potential socio-economic impact, and suggest policy measures to harness their benefits while mitigating adverse effects to meet these objective secondary sources which include books, journals, articles and newspapers, websites.

Impact of Artificial Intelligence on Service Sector in India: A Study

Dr. M. Malla Reddy — 2026-04-01

Artificial Intelligence (AI) has become a key driver of transformation in the Indian service sector, significantly influencing its growth, efficiency, and contribution to the national economy. This study examines the impact of AI adoption across major service industries in India, including banking and financial services, healthcare, education, retail, hospitality, and information technology-enabled services. The integration of AI technologies such as machine learning, natural language processing, chatbots, and predictive analytics has enabled service organizations to automate routine processes, enhance customer engagement, improve service accuracy, and support data-driven decision-making. The paper analyzes how AI improves operational efficiency, reduces service delivery costs, and facilitates personalized and real-time services, thereby strengthening competitiveness in both domestic and global markets. It also evaluates the implications of AI for employment in the service sector, highlighting the shift in skill requirements from routine operational roles to knowledge-intensive and technology-driven functions. While concerns regarding job displacement persist, the study emphasizes AI’s potential to create new employment opportunities through upskilling and reskilling initiatives. In addition, the study discusses challenges associated with AI implementation in India, such as data privacy concerns, ethical issues, infrastructure limitations, and the digital divide. The findings suggest that effective policy support, regulatory frameworks, and investment in human capital are crucial for maximizing the benefits of AI adoption. The study concludes that AI, when strategically implemented, can act as a catalyst for sustainable growth in the Indian service sector and enhance its role in strengthening the Indian economy.

Artificial Intelligence as a Catalyst for Educational Development: An Empirical Study

K. Radhika — 2026-04-01

The rapid advancement of Artificial Intelligence (AI) has significantly transformed the education sector by enhancing teaching–learning processes, assessment methods, and administrative efficiency. The present study examines the role of Artificial Intelligence in educational development in Karimnagar city, Telangana, based on primary data collected from 150 respondents comprising students, teachers, and educational administrators. The study analyzes the level of awareness, adoption of AI-based educational tools, and their impact on learning outcomes, academic performance, and educational quality. Both descriptive and inferential statistical tools, including Chi-square test, Independent Samples t-test, and One-Way ANOVA, were employed using SPSS software. The findings reveal that AI adoption has a positive and statistically significant impact on educational quality and performance, although challenges such as infrastructure gaps and lack of training persist. The study suggests strengthening digital infrastructure, teacher training, and policy support to promote inclusive and effective AI-driven education.

Transforming India’s Economy through Artificial Intelligence and Education: An Analysis of GDP Growth and Future Projections

Mr. B. Ranjith Kumar — 2026-04-01

This chapter examines how artificial intelligence (AI) and education can jointly transform India’s economic trajectory. We analyze the roles of AI-driven productivity gains and education-driven human capital in boosting India’s GDP, drawing on historical data, empirical studies, and policy reports. AI is widely projected to contribute hundreds of billions to India’s economy by 2035, while education reforms (e.g. India’s NEP 2020) aim to expand skills and learning outcomes. We survey global and Indian studies – including NITI Aayog and industry reports – that quantify AI’s economic impact, and review how improved education amplifies these effects. Using recent data on GDP (nominal USD) and sectoral indicators, we construct scenarios contrasting baseline growth with AI-only and AI+ Education synergy. Results suggest that leveraging both forces could raise India’s GDP to near or beyond US$8–9 trillion by 2035, compared to around US$6–7 trillion under baseline trends. Sectoral analysis illustrates AI’s influence in education delivery, manufacturing automation, precision agriculture, and healthcare diagnostics, while education reforms improve workforce readiness for a knowledge economy. We compare India’s situation with AI-driven growth in the USA and China, noting India’s rapid rise in global AI indices. Finally, we present forecast models and policy recommendations: sustaining high growth requires scaling AI adoption through infrastructure, data governance, and human-capital development. In sum, a coordinated AI-education strategy could significantly accelerate India’s growth, aligning with its aspirations for a $30 trillion economy by 2047.

Sustainable Cropping Patterns in the AI Era: A Study in Karimnagar District of Telangana State

Shakunthala Markonda — 2026-04-01

This study investigates sustainable cropping patterns among farmers in Kothapalli of Karimnagar, focusing on the influence of Artificial Intelligence (AI) tools on decision-making, productivity, and ecological sustainability. Using primary data collected from 150 respondents, the research explores existing cropping patterns, farmers’ adoption of AI-enabled technologies, challenges, and outcomes. The results reveal significant correlations between AI adoption and increased crop yield, optimized resource use, and improved farming decisions. Key challenges include limited digital literacy, infrastructure gaps, and cost barriers. Practical recommendations for policy and practice are suggested.

Artificial Intelligence and Its Role in Enhancing Paddy Productivity: Evidence from Warangal District

Dr. D. Satyanarayana — 2026-04-01

Artificial Intelligence and Its Role in Enhancing Paddy Productivity: Evidence from Warangal District

The present study examines the impact of Artificial Intelligence (AI) on paddy production in Warangal District of Telangana State. Agriculture in India is increasingly influenced by digital and intelligent technologies aimed at improving productivity, reducing costs, and ensuring sustainability. Using primary data collected from 120 paddy farmers through a structured questionnaire, the study analyzes the level of awareness, adoption of AI tools, and their impact on yield, cost of cultivation, and farmers’ income. Statistical tools such as percentages, averages, and ranking techniques have been employed for analysis. The findings reveal that AI-based mobile advisory services, smart irrigation, and weather forecasting significantly enhance productivity and income, though challenges such as high initial costs and lack of technical knowledge persist. The study suggests policy interventions, training programs, and infrastructure development to promote inclusive and sustainable AI-driven agriculture.

Impact of AI Tools on Educational Expenditure Reduction: A Study of Warangal City

Dr. K. Srivani — 2026-04-01

The rising cost of education has emerged as a major concern for households in India, driven by increased spending on private coaching, learning materials, and transportation. In this context, Artificial Intelligence (AI) tools have gained prominence as cost-effective alternatives that enhance learning efficiency while reducing educational expenditure. This study examines the impact of AI tools on educational expenditure reduction among students in Warangal City. Primary data were collected from 120 students using a structured questionnaire. The study employs descriptive statistics, paired sample t-test, and chi-square test to analyze the relationship between AI usage and expenditure reduction. The findings reveal that AI adoption led to an average 47% reduction in monthly educational expenditure, particularly in private tutoring, coaching fees, and printed materials. Statistical results confirm a significant reduction in expenditure after AI adoption and a strong association between the level of AI usage and cost savings. The study concludes that AI tools play a crucial role in improving affordability and accessibility of education, with important implications for educational policy and digital inclusion.

Artificial Intelligence and Farmers’ Income: Evidence from Adilabad District of Telangana State

P. Swarupa — 2026-04-01

Artificial Intelligence (AI) is emerging as a transformative technology in agriculture, capable of enhancing productivity, optimizing resource use, and increasing farmers’ income. This study investigates the role of AI in improving farmers’ income in Adilabad district of Telangana State. The research is based on primary data collected from 100 farmers using structured questionnaires and interviews. The study examines awareness, adoption, and utilization of AI technologies such as mobile advisory applications, weather forecasting tools, and digital crop management systems. Statistical analysis was performed using SPSS, including descriptive statistics, cross-tabulations, Chi-square tests, t-tests, and One-Way ANOVA to assess the impact of AI adoption on income. The results indicate that a majority of farmers have moderate to high awareness of AI, and AI adoption is significantly associated with higher income levels. Farmers with higher levels of AI adoption experience better income growth and improved economic stability. The study suggests policy interventions, training programs, and infrastructure development to enhance AI adoption and promote sustainable agricultural development.

Forgotten Gods and Legends: Voices of Marginalised Myths through Podcasting and YouTube

Puspita Mondal — 2026-04-01

This paper explores the resurgence of marginalized and “forgotten” gods, myths, and legends through the medium of podcasts and YouTube videos and shorts in contemporary India, with particular attention to marginalised perspectives. It examines how digital platforms enable the re-narrativization of mythological traditions that were historically suppressed, excluded, or reinterpreted within dominant frameworks. Engaging with theories of myth (structuralism and post-structuralism), subaltern studies, and digital media, the paper argues that podcasts function as democratized narrative spaces where myth is not merely revived but contested, reconfigured, and politicized. The study highlights how marginalised reinterpretations challenge hegemonic mythologies, foreground alternative cosmologies, and reclaim cultural memory. Ultimately, the paper proposes that podcasting, YouTube videos, and shorts enable a “counter-mythic discourse” that destabilizes canonical narratives and opens new epistemic possibilities. This research intends to explore how Podcasts work as a performative and archival medium, giving voices to the voiceless and creating a space for marginalised voices, thoughts, and beliefs to be interpreted, and is being used to reclaim, reimagine, and preserve within the interdisciplinary field of digital humanities. This study seeks to examine the aesthetic, ethical, and political dimensions of mythic storytelling in the digital era. This paper intends to work with a few questions, like- 1. How do Podcasts functions as counter archives? 2. How do listeners interpret and engage with podcasts? 3. Can Podcast mythologies become a tool of cultural diplomacy or resistance in global politics? 4. What myths and legends are globalised via Podcasting?

Pathways to Progress: Community Support and Youth Political Efficacy in Cambodia’s Democratic Development

Sovanna Huot — 2026-04-03

In the context of national elections, this study investigates the ways in which community support affects the political efficacy, motivation, and involvement of Cambodian youth. By adopting a developmental lens and presenting community support as a type of developmental capital that fosters agency and resilience, the research moves beyond deficit-based viewpoints that depict adolescents as indifferent or disengaged. The study shows that Cambodian youth are moving from post-conflict disengagement to active democratic participation by utilizing theory, history, and regional perspectives. While political socialization theory stresses the role of civic initiatives, NGOs, and schools in transferring democratic skills, social capital theory emphasizes how community networks promote trust and efficacy. Youth are using creativity, inclusiveness, and digital activism to increase participation despite persistent obstacles like political risk, generational gaps, and limitations on free speech. According to the findings, Cambodian young are increasingly playing a crucial role in determining the course of democratic development with the help of community institutions.

Narrating Anxiety: Women’s Mental Health, Trauma Repetition, and Resistance in Meena Kandasamy’s Exquisite Cadavers

Sabitha Kuriakose — 2026-04-04

This paper analyses Meena Kandasamy’s Exquisite Cadavers (2019) as a narrative of women’s mental health, focusing on protagonist Maya’s anxiety amid trauma, precarity, and resistance. Drawing on Cathy Caruth’s “unclaimed experience,” Juliet Mitchell’s feminist psychoanalysis, and Louise Rosenblatt’s reader-response theory, it examines how childhood abandonment repeats in Maya’s relationships and how patriarchal structures produce her distress. The novel’s fragmented form mirrors traumatic temporality while offering bibliotherapeutic potential through reader identification and politicized validation of gendered suffering.

Mapping the Research Landscape of Artificial Intelligence and Machine Learning in Finance: A Bibliometric Analysis

Dr Anjula C S — 2026-04-05

The rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML) technologies have profoundly impacted the financial sector, offering significant improvements in areas such as risk management, algorithmic trading, fraud detection, credit scoring, and customer service. Using Scopus, this study conducts a bibliometric review of research on artificial intelligence and machine learning in finance. A BibTeX dataset of 103 English articles and reviews (1996–2026) from Economics/ Econometrics/ Finance and Business/ Management/ Accounting was analysed to map growth, impact, and collaboration. Output remained sparse until 2017, then expanded rapidly, peaking in 2024–2025. The literature is highly collaborative and influential. Dominant themes include digital finance, risk management, and sustainability-oriented finance.

Sacred Ecology and Healing: Cultural Significance of Medicinal Plants in Indian Societies

Reena Singh — 2026-04-05

India possesses one of the world’s richest traditions of plant-based healing, shaped by millennia of interactions among diverse ecosystems, cultural beliefs, and medical knowledge systems. In Indian societies, medicinal plants are not merely therapeutic substances but sacred entities embedded in religion, rituals, folklore, and everyday life. This study examines the concept of sacred ecology in relation to healing practices in India, exploring how medicinal plants function simultaneously as pharmacological resources, cultural symbols, and spiritual mediators. Drawing on examples from classical traditions, folk medicine, and tribal practices, this study analyzes the role of sacred plants in maintaining health, social cohesion, and ecological balance. It argues that these traditions remain highly relevant in contemporary contexts marked by environmental degradation, lifestyle-related diseases, and renewed interest in holistic health.

Spirituality, Social Consciousness, Ethics and Human Liberation in B. S. Tyagi’s Poetry

Dr. Gunjan Saxena — 2026-04-05

The present research article examines the interrelationship of spiritual consciousness, ethical sensibility and human emancipation in B. S. Tyagi’s poetry. It situates his poetry in the wider spectrum of Indian English Poetry tradition that tries to look at metaphysical quest for truth vis-à-vis socio-cultural aspect of life. Tyagi weaves together the five sheaths (pancha koshas) encompassing gross, vital/vegetative, psychic/mind-intellect/emotional and blissful layers of the Indian philosophical consciousness to offer a totalist conception of human existence with inner discipline as well as social responsibility. His spiritual meditations are not escapist, but deeply pragmatic, placing an emphasis on compassion, ecological balance and moral action. By blending Eastern metaphysics with Western rhetoric, Tyagi redefines spirituality as a praxis of active ethics that can solve the dilemmas of modern materialistic existentialism. The simplicity and freedom of his poetical diction give common readers access in an unusual degree to deep philosophical conceptions without loss of their meditative import. A site of revelation where silence speaks, selfhood spills over into cosmic coalescence and liberation is envisaged not only as transcendence, but also compassionate entanglement in the world. Based on close reading of poems— ‘Silence’, ‘Beyond Life’, ‘To Myself, Self and Nature’ and ‘I Am a Warrior; this study shows that Tyagi construes silence as an actively transforming force, consciousness as the arena of ethical awakening and self-realization as the road to personal and collective freedom. The grants article Tyagi the status of a major contemporary Indian English poet whose poetry renews the spiritual humanist tradition and reassures us of literature’s capacity to encourage ethical awareness, inner balance and cosmic liberation.