A Passionate Technologists' Journal

Introduction In the age of information overload, finding the most relevant moments in lengthy videos can be a daunting task. Clips Extractor is an innovative application designed to solve this problem by leveraging state-of-the-art Large Language Models (LLMs) and AI-powered transcription. This blog post explores the app's goals, technical architecture, and how it uses LLMs to deliver precise, topic-based video clips. What is Clips Extractor? Clips Extractor enables users to extract meaningful clips from YouTube videos based on a topic of interest. Whether you're a researcher, content creator, or casual viewer, you can quickly surface the most relevant segments without manually scrubbing through hours of footage. Key Features Extract clips from YouTube video Search for segments based on user-provided topics Get precise timestamps and transcripts for each clip Combine selected clips into a single video Chrome Extension for direct YouTube integration ...

This is only a note on the Blog post I wrote on Medium (that's getting garnered with a huge view counts & some claps, which I see it as a gratitude from the community) on the stuff I learned while developing the Noisli clone app in React Native. I think there's no such tutorial/blog that explains the Pros & Cons and the different ways of developing the React Native apps, hence I think the blog post serves several kinds of people starting from a Fresher to even an Experienced developer who hasn't developed/tried all the approaches. I consider this article as a unique one as some of the people have conveyed/thanked me personally the same way that I had thought of and wrote it initially. I always feel it's better to have multiple touch points to some great posts/articles, hence adding a note here as well for those who haven't seen & would be interested to take a look at. Enjoy!