Agentic Web Navigator

Agentic Web Navigator is an AI-powered web browser that integrates Large Language Models (LLMs) to enable intelligent and natural web interaction. The objective is to move beyond static automation or chatbots and create a browser where users can navigate, search, extract, and perform actions on the web using natural language commands.

The system allows users to communicate with the browser in simple language. For instance, users can say, 'Find me a hotel room in Islamabad and book the cheapest one,' or 'Summarize this article,' and the browser will interpret, execute, and confirm these actions safely. Instead of users providing URLs, the system itself acts as a fully functional web environment with integrated intelligence.

The AI Browser combines LLM reasoning capabilities with automated browsing control. The system utilizes HTML parsing, DOM inspection, and web scraping techniques to extract and interpret page elements. Later enhancements involve visual recognition of web components and reinforcement learning for adaptive interaction.

A central focus of the project is safety and user trust. Before executing any significant web action (e.g., booking, form submission, checkout), the browser requests explicit confirmation from the user. This human-in-the-loop mechanism ensures ethical use and prevents unintended or unsafe operations. The system maintains contextual awareness across multiple pages and tabs to provide a seamless and coherent browsing experience.

Beyond implementation, this project has a strong research dimension. It enables investigation into how LLMs interpret web content, how effectively they can perform complex web actions, and how user confirmation affects safety and usability. The results contribute to emerging research in human-AI collaboration, safe autonomous agents, and conversational web navigation.