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