EVE AI: A Next.js-Based AI-Powered Platform for Text- to-Image and Text-to-Video Generation

Abstract — The rise of generative AI has redefined content creation, making it faster, more personalized, and accessible to non-technical users. This paper presents EVE AI, an AI-powered web application built using Next.js and powered by Replicate’s ML models to convert text into high- quality images and videos. EVE AI enables content creators, students, educators, and business owners to generate creative visuals from simple text prompts, eliminating the need for traditional design tools. It supports multiple models across various subscription tiers and includes features like generation history, customizable aspect ratios, and user authentication. This paper covers the system’s architecture, AI model integration, design considerations, and the future potential of such tools in democratizing content generation. Keywords — Text-to-Image, Text-to-Video, Next.js, Generative AI, Replicate API, Tailwind CSS, Prompt-to-Visuals, Framer Motion, SaaS, Full-stack AI Applications

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-29
DOI
https://doi.org/10.55041/ijsrem48974
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
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article

EVE AI: A Next.js-Based AI-Powered Platform for Text- to-Image and Text-to-Video Generation

Sachin Kumar
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Artificial Intelligence Applications
article

EVE AI: A Next.js-Based AI-Powered Platform for Text- to-Image and Text-to-Video Generation

Sachin Kumar
article en

Abstract

Abstract — The rise of generative AI has redefined content creation, making it faster, more personalized, and accessible to non-technical users. This paper presents EVE AI, an AI-powered web application built using Next.js and powered by Replicate’s ML models to convert text into high- quality images and videos. EVE AI enables content creators, students, educators, and business owners to generate creative visuals from simple text prompts, eliminating the need for traditional design tools. It supports multiple models across various subscription tiers and includes features like generation history, customizable aspect ratios, and user authentication. This paper covers the system’s architecture, AI model integration, design considerations, and the future potential of such tools in democratizing content generation. Keywords — Text-to-Image, Text-to-Video, Next.js, Generative AI, Replicate API, Tailwind CSS, Prompt-to-Visuals, Framer Motion, SaaS, Full-stack AI Applications

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 94%
Artificial Intelligence Applications
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