Artificial Intelligence Based Smart Print on Demand (POD)
This project presents the development of a cutting-edge Smart Print on Demand system that leverages advanced technologies such as TensorFlow, HTML, CSS, and JavaScript, integrated with the innovative DALL·E 3 model. The primary objective is to revolutionize the print-on-demand industry by introducing intelligent and dynamic content generation for customized print products. The project architecture incorporates TensorFlow, a powerful machine learning library, to enhance the system’s ability to understand and respond to user preferences. The use of HTML and CSS ensures an intuitive and visually appealing user interface, providing a seamless and engaging experience for customers interacting with the print-on-demand platform. JavaScript is employed for dynamic and responsive features, enabling real-time updates and interactive functionalities.
Authors
- A.P. Chavan (ORCID: https://orcid.org/0009-0000-5366-1249)
- A. V. Mane (ORCID: https://orcid.org/0000-0003-1910-8102)
- Pooja Garai
- Sakshi Gholap
- Nikunj Gaikwad
- Janhavi Sagvekar
- Suvarna Bhise
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icisaa62385.2024.10828715
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00