SENDHUYAL: Tech-Powered Marketplace and Learning Hub Using Artificial Intelligence

Abstract

Empowering women artisans through digital platforms has emerged as a critical pathway toward inclusive economic growth, social equity, and the preservation of cultural heritage. In many developing economies, women artisans play a vital role in sustaining traditional crafts and local economies; however, their participation in the digital marketplace remains limited due to technological barriers, lack of trust, inadequate skill development opportunities, and dependence on intermediaries. This paper presents “????????? – Tech-Powered Marketplace & Learning Hub Using Artificial Intelligence”, an integrated digital ecosystem designed to address these challenges holistically. The proposed platform combines an AI-enabled online marketplace with a structured learning and mentorship hub, enabling women artisans to showcase, promote, and sell handmade products directly to consumers across global markets. Artificial Intelligence is leveraged for personalized product recommendations, automated content enhancement, voice-based navigation, intelligent chatbot assistance, and fraud detection mechanisms. In addition, a dedicated learning hub supports artisans through skill development programs, digital entrepreneurship training, mentorship, and market awareness initiatives. Secure payment gateways and transparent review systems are incorporated to ensure trust, credibility, and transactional reliability. The system aims to promote economic independence, enhance digital literacy, strengthen entrepreneurial confidence, and preserve traditional crafts by offering a scalable, inclusive, and sustainable technological solution. The results indicate that integrating e-commerce and e-learning within a single AI-driven platform significantly improves accessibility, trust, and long-term engagement among women artisans.

Introduction

The text discusses the design and implementation of a digital, AI-enabled platform aimed at empowering women artisans and micro-entrepreneurs, particularly in rural and semi-urban areas, by addressing the persistent digital divide. Although digital technologies and online platforms have expanded opportunities in commerce and education, many women artisans remain excluded due to limited digital literacy, infrastructure gaps, language barriers, and socio-cultural constraints. As a result, they often depend on intermediaries, which reduces income, bargaining power, and market visibility.

To address these challenges, the proposed system offers a unified, user-centric web platform that combines e-commerce, skill development, AI assistance, and trust mechanisms. The platform is modular and scalable, with four core components:

1. Marketplace Core (She Connect Hub) for direct product selling, inventory management, analytics, and customer interaction;

2. Learning and Access Module (Her Learning Studio) providing personalized courses, mentorship, and digital skill training;

3. AI-Powered Verification and Assistance (She Sure Assurance) offering recommendations, chatbot support, fraud detection, and voice-based accessibility; and

4. Trust and Transparency Module (She Trust Network) ensuring verified reviews, seller ratings, and transparent transactions.

The system uses a three-tier architecture consisting of a presentation layer (responsive, multilingual, voice-enabled interface), an application layer (backend logic, authentication, AI recommendations), and a data layer (secure storage, real-time updates, and encrypted payments). Implementation focuses on simplicity, inclusivity, and accessibility, enabling artisans with limited technical skills to create listings, learn business skills, and interact directly with customers.

Overall, the platform reduces reliance on intermediaries, enhances income opportunities, supports cultural preservation, and fosters long-term economic empowerment. Future enhancements include advanced AI models, expanded language support, mobile apps, blockchain-based authenticity verification, and AI-driven demand forecasting and inventory management.

Conclusion

This paper presented ?????????, a tech-powered marketplace and learning hub designed to empower women artisans through Artificial Intelligence. By integrating e-commerce, e-learning, AI assistance, and trust mechanisms, the platform addresses critical challenges faced by women entrepreneurs. The system promotes economic independence, digital literacy, cultural sustainability, and inclusive growth, making it a meaningful contribution to digital empowerment initiatives.

References

[1] P. A. Pavlou, “Consumer acceptance of electronic commerce: Integrating trust and risk,” MIS Quarterly, vol. 27, no. 1, pp. 69–103, 2003. [2] Y. Chen and J. Xie, “Online consumer review: Word-of-mouth as a new marketing communication,” Management Science, vol. 54, no. 3, pp. 477–491, 2008. [3] F. J. Riggins and S. F. Wamba, “Research directions on the adoption, usage, and impact of intelligent technologies,” Journal of Strategic Information Systems, vol. 24, no. 3, pp. 183–199, 2015. [4] D. Chaffey, Digital Business and E-Commerce Management, Pearson Education, 2020. [5] J. Bobadilla et al., “Recommender systems survey,” Knowledge-Based Systems, vol. 46, pp. 109–132, 2013. [6] L. Deng and D. Yu, “Deep learning: Methods and applications,” Foundations and Trends in Signal Processing, vol. 7, no. 3–4, pp. 197–387, 2014. [7] N. Kumar and R. Pansari, “Competitive advantage through engagement,” Journal of Marketing Research, vol. 53, no. 4, pp. 497–514, 2016. [8] P. Thilakaveni, M. Krithika, and P. Rajeswari, “Yoga posture detection using machine learning,” International Journal of Research and Analytical Reviews, 2024. [9] S. Brindha, M. Krithika, M. S. Nikash, J. P. Jesray, P. Sanjeevi Raj, and B. V. Deepthi Bala, “Advanced image segmentation for historical artifact preservation: Leveraging machine learning for sculpture preservation,” International Open Access, Peer-Reviewed, Refereed Journal, 2024. [10] S. Brindha, R. B. Uma, S. C. Karthick, A. K. Akilesh, S. E. Akilesh, F. Kavya Kannan, and H. Bashag, “AI-powered personalized financial planner,” International Journal of Research Publication and Reviews, ISSN 2582-7421.

Copyright

Copyright © 2026 M. Krithika, M. Keerthana, S. Krithiya Sri, U. Kanishka, O. Sudakshina, S. Nivetha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.