img img img img img
img

Smart Topic Segmentation from Lecture Videos

Objective:

To automatically segment lecture videos into meaningful topics or chapters, making it easier for students to navigate, revise, and search for specific content in long lecture recordings.

Why Choose This Project:

  • Long lecture videos are difficult to navigate manually.

  • Helps students quickly access topics of interest.

  • Can enhance e-learning platforms with video indexing and search features.

  • Integrates multimedia processing, NLP, and AI — a highly relevant skillset.

Key Features:

Feature Description
Automatic Topic Detection Identify changes in topics using lecture audio and slides.
Video Segmentation Split videos into chapters or sections based on topic changes.
Transcript Analysis Use speech-to-text to convert audio to text for NLP processing.
Keyword Extraction Highlight important keywords per segment.
Searchable Segments Allow students to search for topics and jump directly to them.
Summary Generation Optionally summarize each topic segment for quick revision.

Technology Stack:

  • Frontend: HTML, CSS, JavaScript (for displaying segmented video player and UI).

  • Backend: Python with Flask or Django.

  • Audio Processing: pydub, librosa.

  • Speech-to-Text: Google Speech API, DeepSpeech, or OpenAI Whisper.

  • NLP: spaCy, NLTK, transformers (for keyword extraction & summarization).

  • Database: MySQL / PostgreSQL for storing video segments and metadata.

  • Optional: React.js for an interactive frontend player.

Working Flow:

  1. Upload Lecture Video

    • User uploads a lecture video (MP4, AVI, etc.) to the system.

  2. Audio Extraction

    • Extract audio from the video using ffmpeg or moviepy.

  3. Speech-to-Text Conversion

    • Convert the audio into text using a speech-to-text model.

  4. Topic Segmentation

    • Analyze the transcript to detect topic shifts using NLP techniques (e.g., TextRank, semantic similarity, transformer models).

  5. Segment Tagging

    • Assign each segment a topic title or keywords.

  6. Video Cutting & Indexing

    • Cut the video into segments corresponding to topics and store timestamps in the database.

  7. Frontend Presentation

    • Display video player with segmented timeline, topic titles, and optional summaries.

    • Enable search functionality to jump to a specific topic.

Main Modules:

  1. Video Upload Module

  2. Audio Extraction & Transcription Module

  3. Topic Detection & Segmentation Module

  4. Database & Indexing Module

  5. Frontend Video Player with Topic Navigation

Security Features:

  • Validate uploaded video files to prevent malicious content.

  • Secure APIs for video upload and retrieval.

  • User authentication for accessing private lecture videos.

This Course Fee:

₹ 2599 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
img
Share this course: