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@article{197788,
        author = {chakali devendra and chandhan sharma and Cheemala Eeswar and K. Prasannajaneya Reddy},
        title = {Title and Description generator for the E-Commerce website using built in community tab},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {11251-11256},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197788},
        abstract = {The rapid growth of online shopping platforms has resulted in an increased need for quality product content to attract more customers and increase product exposure. However, many small-scale artisans and individual sellers face the challenge of creating quality product content, which requires time and expertise. This paper proposes an AI-based product content generation system, which will be integrated with the community-based platform to empower artisans. The online shopping platform will generate product content through its AI model, which will be implemented using the Genkit framework to generate content based on user information. The web development technology used will be Next.js, with the Firebase framework providing the authentication, storage, and community interaction functionalities. Besides the content generation, the system will allow the user to publish articles and interact with the community through the use of comments, which will encourage the artisans to share their knowledge with each other.},
        keywords = {Generative AI, Large Language Models, E-commerce Automation, Product Content Generation, Artisan Empowerment, Web Applications, Cloud-Based Systems.},
        month = {April},
        }