Enhancing Web Interactions: Imagine a Smarter Way to Connect Online

The project presents an experimental, ultra-fast intent router designed for web forms, employing a lightweight machine learning model to classify user inputs like names, emails, and addresses. It aims to streamline form-filling and enhance micro-interactions online, processing inputs in under 20 milliseconds to ensure a seamless user experience. The intent router functions as a “spinal cord” for micro-decisions, distinguishing it from traditional chatbots or large language models. This tool can be implemented as a web widget, browser extension, or backend API. The project includes various Python scripts for model training, a web frontend for demonstrations, and JavaScript files for inference and user input routing. Overall, the intent router seeks to render online interactions more efficient and nearly invisible, elevating user engagement by simplifying input processes. Users can easily execute the backend and demo applications following brief setup instructions provided in the documentation.

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