FULL STACK MERN AI IMAGE GENERATION APP

October 2023
Vol-9, Issue-5
Paper ID: 21738
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
COMPUTER SCIENCE AND ENGINEERING
Keywords
MERN stack image_generation CNN
Abstract
The "Full Stack MERN AI Image Generation App" is a monument to the never-ending pursuit of innovation in a time when technology is still developing at an unheard-of rate. With the power of the MERN stack (MongoDB, Express.js, React, and Node.js) and the capabilities of Artificial Intelligence (AI), this project offers a ground-breaking combination of cutting-edge technologies that will usher in a new era of image generation. Recent years have seen notable changes in the digital ecosystem, with an increasing focus on AI-driven solutions. As it combines the adaptability of the MERN stack, a well-liked web development toolkit, with the creative potential of AI in image generation, the "Full Stack MERN AI Image Generation App" emerges as a crucial turning point in this evolution. In recent years, the digital world has experienced a significant metamorphosis, with an apparent tilt in favor of AI-driven solutions. This change is a result of the realization that artificial intelligence has the power to transform entire industries, handle challenging problems, and improve user experiences. The "Full Stack MERN AI Image Generation App" emerges as a significant milestone in this dynamic environment, signifying an inventive marriage of technologies as the Creative Catalyst: Artificial Intelligence, particularly in the realm of image generation, has exhibited a remarkable ability to mimic and extend human creativity. With deep learning algorithms such as Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs), AI can understand patterns, styles, and aesthetics to generate images that resemble the work of human artists. This creative potential has immense implications for industries such as graphic design, advertising, and art. Keywords: MERN stack, image_generation, CNN

Author Information

# Name Institute / Affiliation
1 SETHURAM B BANNARI AMMAN INSTITUTE OF TECHNOLOGY
2 SINEKA V BANNARI AMMAN INSTITUTE OF TECHNOLOGY
3 SWETHA V BANNARI AMMAN INSTITUTE OF TECHNOLOGY

How to Cite

Use the following formats to cite this article in your research.

APA Style
B, SETHURAM, V, SINEKA, & V, SWETHA (2023). FULL STACK MERN AI IMAGE GENERATION APP. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1437-1440.
MLA Style
B, SETHURAM, et al. "FULL STACK MERN AI IMAGE GENERATION APP." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1437-1440.
IEEE Style
SETHURAM B, SINEKA V, and SWETHA V, "FULL STACK MERN AI IMAGE GENERATION APP," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 1437-1440, 2023.
Vancouver Style
B SETHURAM, V SINEKA, V SWETHA. FULL STACK MERN AI IMAGE GENERATION APP. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1437-1440.
Harvard Style
B, SETHURAM, V, SINEKA, & V, SWETHA (2023) 'FULL STACK MERN AI IMAGE GENERATION APP', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1437-1440.
Chicago Style
B, SETHURAM, SINEKA V, and SWETHA V. "FULL STACK MERN AI IMAGE GENERATION APP." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1437-1440.
Turabian Style
B, SETHURAM, SINEKA V, and SWETHA V. "FULL STACK MERN AI IMAGE GENERATION APP." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1437-1440.

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