ALL IN AI
Abstract & Details
Research Area
Computer Engineering
Keywords
AI-powered platform
Open AI
Replicate API
User Empowerment
Abstract
This research paper introduces a comprehensive AI-powered platform designed to revolutionize content creation and information retrieval. Leveraging the capabilities of OpenAI and Replicate, the platform comprises five distinct sub-tools: Image Generator, Video Generator, Code Generator, Music Generator, and Information Retrieval system. These sub-tools offer users seamless access to diverse AI functionalities, enabling them to generate high-quality content and retrieve accurate information efficiently. The project addresses major challenges in content creation, including managing intellectual property, ensuring content authenticity, and providing user with all the major AI services within a single platform. Through streamlined accessibility, diverse tool integration, and a user-friendly interface, the platform empowers users across various domains to streamline their work and enhance creative endeavours. The research emphasizes the platform's versatility, scalability, and future-readiness, setting a new standard for AI integration and application. By democratizing access to AI capabilities, the platform drives innovation, fosters collaboration, and promotes positive societal impact.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Falgun Gupta | Poornima Institute of Engineering and Technology |
| 2 | Vansh Vasishtha | Poornima Institute of Engineering and Technology |
| 3 | Vinayak Yadav | Poornima Institute of Engineering and Technology |
| 4 | Smita Bisht | Poornima Institute of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Gupta, Falgun, Vasishtha, Vansh, Yadav, Vinayak, & Bisht, Smita (2024). ALL IN AI. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 3994-3997.
MLA Style
Gupta, Falgun, et al. "ALL IN AI." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 3994-3997.
IEEE Style
Falgun Gupta, Vansh Vasishtha, Vinayak Yadav, and Smita Bisht, "ALL IN AI," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 3994-3997, 2024.
Vancouver Style
Gupta Falgun, Vasishtha Vansh, Yadav Vinayak, Bisht Smita. ALL IN AI. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):3994-3997.
Harvard Style
Gupta, Falgun, Vasishtha, Vansh, Yadav, Vinayak, & Bisht, Smita (2024) 'ALL IN AI', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 3994-3997.
Chicago Style
Gupta, Falgun, et al. "ALL IN AI." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 3994-3997.
Turabian Style
Gupta, Falgun, et al. "ALL IN AI." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 3994-3997.
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