AI powered adaptive web applications : using ML to optimize web applications and enhance user experience

Conventional web applications frequently find it challenging to customize to the specific requirements of users, resulting in less than ideal experiences. This presentation reveals a fresh method to incorporate artificial intelligence into any current web application, allowing for dynamic predictions of user behaviors and real-time interface optimization. We will introduce an innovative system aimed at examining user interactions, anticipating subsequent actions, and proactively improving application performance.

We will talk about running ML models on the front-end, training a custom model, building a statistical model, and using those technologies to predict the next action of our users, in order to optimize the application based on this action.