💼 Resume Project Description

AI Video Summarizer

Developed an AI-powered Video Summarization System using Whisper, Transformers, Python, and Streamlit. Implemented audio extraction, speech-to-text conversion, transcript analysis, topic extraction, and automated summary generation for long-form video content.

🎯 Mini Challenge

Enhance the project by adding: 

1. YouTube video support 

2. Multi-language transcription 

3. PDF summary export 

4. Meeting action item extraction 

5. Speaker-wise summaries 

Interview Questions From This Project

Q1. Why is Whisper used?

Answer: Whisper converts spoken audio into text using automatic speech recognition ASR.

Q2. What is text summarization?

Answer: The process of reducing large text into a shorter version while preserving important information.

Q3. What are Transformers?

Answer: Deep learning architectures that use attention mechanisms to understand context and relationships in text.

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