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note-summarizer

Key Features:

  • OCR with image preprocessing
  • Multiple summarization techniques
  • Named entity extraction
  • Question-answering capability
  • Streamlit interactive interface

Dependencies:

  • streamlit
  • pytesseract
  • opencv-python
  • spacy
  • nltk
  • transformers
  • torch
  • scikit-learn

Additional Setup:

  1. Install Tesseract OCR
  2. Download spaCy model: python -m spacy download en_core_web_sm
  3. Install dependencies

Summarization Techniques:

  1. Extractive: Selects key sentences
  2. Abstractive: Generates concise summary
  3. Hybrid: Combines both approaches