Скачать или смотреть Build a YouTube Video Summarizer using Ollama (Local LLM) |

In this video, I demonstrate a complete AI-powered YouTube Video Summarization web application built using Flask and Ollama.

The application automatically extracts captions from YouTube videos and generates concise bullet-point summaries using a locally hosted Large Language Model (LLM) via Ollama — without using paid APIs.

🚀 Key Features:
User authentication (Login & Signup)
Automatic YouTube caption extraction
AI-based video summarization using Ollama
Chunk-based processing for long videos
Global summary caching
User-specific watch history
Clean UI with Tailwind CSS
No cloud API dependency (fully local)

🛠️ Tech Stack:
Backend: Flask, Flask-Login
AI Model: Ollama (Local LLM)
Database: MongoDB
NLP: LangChain
Frontend: HTML, Tailwind CSS
External API: YouTube Transcript API

🎯 Use Cases:
Podcast summarization
Lecture notes generation
Educational content review
Research & learning

📞 Contact for Project Access / Customization:
Mobile:
+91 8766055949
+91 97664 32374
+91 74996 01744

🌐 Website:
https://kodeneurons.tech

📌 Ideal for:
Final year projects
AI & NLP students
Flask developers
Anyone interested in local LLMs

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#Ollama #Flask #AIProject #YouTubeSummarizer #LocalLLM #NLP #FinalYearProject