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Research Paper | Information Technology | India | Volume 10 Issue 2, February 2021 | Popularity: 2.9 / 10
Enhancing Web Application Performance with AI - Driven Optimization Techniques
Bangar Raju Cherukuri
Abstract: This research seeks to establish the impact of artificial intelligence (AI) algorithms on improving the functionality of web applications. In this research, emphasis is placed on some of the most pressing areas, load time, resource usage, and adaptive GUI, and based on the analysis of these points, the goal is to determine how AI solutions can enhance UX and operational performance. The approach involves assessing tested and experimental AI techniques through machine learning models and statistical forecasting in realistic web development environments. Measures have shown the load time reduction by several seconds, effective load distribution, and the creation of interfaces that change in response to user activity. The findings of this research suggest the entry of efficient resolutions to the current web performance issues and the opening of a new avenue to more intelligent Web application development through AI technologies.
Keywords: AI Optimization, Web Performance, Load Times, Resource Management, Adaptive Interfaces, Machine Learning
Edition: Volume 10 Issue 2, February 2021
Pages: 1779 - 1788
DOI: https://www.doi.org/10.21275/SR21021103246
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