AI TIME MACHINE USING WEB TECHNOLOGY
Senthil Kumar, R and Durga, R. (2026) AI TIME MACHINE USING WEB TECHNOLOGY. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD), 11. pp. 112-115. ISSN 2456-4184
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Abstract
The AI Time Machine is a modern web
application that utilizes artificial intelligence to
transform human faces across time. The concept is
straightforward: the application will show what you may
have looked like in the past or what you may look like in
the future. The application utilizes deep learning, image
processing, and modern web technology to create realistic
images. The application asks for an image, and the deep
learning model will recognize the features of the image
and make the desired changes, such as aging the image
or reversing the aging. The application focuses on the
interactive experience between humans and artificial
intelligence, making the experience fun, engaging, and
entertaining, while also showing the application of
artificial intelligence. The final product is aesthetically
pleasing and maintains the facial identity of the
human.The system isn’t based on chaos and luck. It
learns and improves based on patterns in the data sets
that are used. It is fast and efficient and does its best to
prevent delays. The app demonstrates the creative
potential of AI. It provides its results using optimized
algorithms to ensure faster execution. It also prioritizes
the privacy of its users by avoiding the storage of images
if not necessary. It can serve multiple users
simultaneously and is ready for further improvements
and new features. The interface is also easy to understand
and use. This AI system demonstrates its potential to be
integrated into our daily applications. It provides
technical and practical value. The results obtained so far
indicate that the predictions made by the AI are accurate.
This demonstrates that AI has potential beyond its
common applications. It can be extended to new webbased applications and can be a catalyst for new ideas. It
is efficient and reliable and can be regarded as one of the
best examples of AI and its potential to be used in facial
prediction technologies
| Item Type: | Article |
|---|---|
| Subjects: | Computer Applications > Artificial Intelligence |
| Domains: | Computer Science |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 19 May 2026 07:20 |
| Last Modified: | 19 May 2026 07:31 |
| URI: | https://ir.vistas.ac.in/id/eprint/20257 |
