An obstacle most people face when writing academic research papers is finding similar papers easily. I faced this problem myself because it took too much time to do so. So, I built a Python script powered by AI to search for related keywords in an input abstract and then get related abstracts on Arxiv. What is…
In this post, I will show you how to detect the percentage of plagiarism in a piece of text. A direct, practical solution I created and tested! The idea is very simple, and it is a perfect starting point for checking plagiarism in any piece of text. I will explain the approach step by step…
In this post, I will show you a better approach to building a Plagiarism detector tool, other than the one we built last time which checks for exact matches on the Internet. Today’s method will check for plagiarism based on how close the meaning and sentence structure are, rather than searching for exact matches. This will help detect…
Chunking or Text-Splitting is a method for breaking down large pieces of text into smaller chunks. For example, you can chunk an essay into multiple paragraphs, a paragraph into multiple sentences, or even words into multiple characters. On a human level, this technique makes it easier to process and remember information, whether you’re learning something new, organizing data, or…
Today, I will show you two approaches to building an AI-powered Semantic Router. An AI router is a component used mainly in AI Agents that directs incoming requests to the appropriate functions/actions. In simpler terms, it takes a user’s query and redirects the AI Agent to the right place, which helps get the best solution for the user’s…