At a Glance

Name: YouTube Summarizer & Q&A Guide: Granite, RAG, and LangChain
Price: Free CAD
Rating: 5.0 (10 reviews)
Author: kunal_makwana, joseph_santarcangelo, ricky_shi, boyun_leung

Build an AI YouTube summarizer and Q&A system in one hour with LangChain and Retrieval-Augmented Generation (RAG). Extract video transcripts instantly, create concise summaries, and engage with videos using interactive Q&A that enables users to jump to specific sections. Powered by IBM Granite for advanced understanding and FAISS for efficient segment retrieval, this AI tool helps tech enthusiasts, educators, and creators save time, boost engagement, and turn videos into actionable insights. Transform your content strategy and simplify video interaction with this quick, powerful project!

In today’s fast-paced world, watching full-length videos can be time-consuming, especially when you’re only interested in specific sections. This guided project introduces you to the power of AI to transform video content into actionable insights. You'll build an AI-driven YouTube summarization and Q&A system using LangChain, retrieval-augmented generation (RAG), IBM Granite and Facebook AI Similarity Search (FAISS), enabling you to create concise video summaries and interact with videos through intuitive question-answering. Whether you’re a tech enthusiast, educator, or content creator, this project provides you with a hands-on experience to enhance content engagement and automate video interactions.

In just one hour, you’ll have a working system that can extract transcripts from YouTube videos, generate key takeaways, and enable users to ask specific questions about the video without watching the full video.
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What You'll Learn

By completing this project, you will:

Learn how to retrieve video transcripts using a pre-built API.
Create concise and informative summaries of YouTube videos using IBM Granite’s advanced natural language processing.
Develop an interactive Q&A system that allows users to ask questions about the video content.
Explore LangChain and retrieval-augmented generation (RAG), showcasing the power of AI for video summarization and real-time interaction.
Integrate FAISS to efficiently index and retrieve relevant video segments for enhanced Q&A capabilities.
Enhance your skills in automating video processing for improved efficiency and user engagement.

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Why This Project is Important

This project is essential for anyone working with video content who wants to enhance user experience and engagement. Whether you're analyzing educational content, creating video marketing materials, or looking for ways to make video-based learning more interactive, this solution saves time by automatically summarizing lengthy videos and allowing real-time questioning. With the help of IBM Granite’s advanced language comprehension, users get precise and relevant responses based on video content, while FAISS ensures quick retrieval of key sections.
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Benefits of This Project

Save time: Automatically summarize videos and extract key information, eliminating the need to watch them fully.
Boost engagement: Provide users with a Q&A system that allows them to query specific parts of a video, making content more interactive and useful.
Enhance learning: This system is ideal for educators and learners, offering quick takeaways and interactive learning opportunities.
Automate video processing: Eliminate manual efforts in video content curation and increase productivity with AI-driven solutions.

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Who Should Enroll

This project is ideal for:

Data scientists who work on NLP and AI applications, and who want to explore video content processing.
Tech enthusiasts and developers interested in learning how to apply LangChain, IBM Granite, and RAG for AI-driven solutions.
Educators who wish to automate and enhance video learning materials.

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What You'll Need

Before starting this project, ensure you have the following:

Basic knowledge of Python programming.
Familiarity with AI concepts and natural language processing (NLP) (beneficial but not required).
A reliable internet connection to access YouTube and IBM Skills Network Labs.
A web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari.

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Why Enroll

By the end of this project, you’ll have built a highly practical tool to automate video content summarization and enable interactive video Q&A. Whether you're enhancing your content strategy or automating video analysis for educational or marketing purposes, this AI-driven solution will save time, increase engagement, and make your workflow more efficient, all powered by IBM Granite's advanced language processing.

Offered By: IBMSkillsNetwork

YouTube Summarizer & Q&A Guide: Granite, RAG, and LangChain

At a Glance

This Guided Project is part of the following Learning Paths