Note-Summarizer

An intelligent AI-powered note summarization tool that condenses lengthy notes and documents into concise, digestible summaries while preserving key information.

Features

• AI-Powered Summarization: Uses machine learning and natural language processing to identify and extract the most important information from your notes
• Multiple Input Formats: Supports text notes, documents, and various file formats
• Customizable Summary Length: Choose from different summary lengths based on your needs
• Key Points Extraction: Automatically identifies and highlights the most important concepts and ideas
• Easy to Use: Simple and intuitive interface for quick note summarization

Installation

Clone the repository:

git clone https://github.com/HriddhoChatterjee/Note-Summarizer.git
cd Note-Summarizer

Install required dependencies:

pip install -r requirements.txt

Usage

from note_summarizer import NoteSummarizer

# Initialize the summarizer
summarizer = NoteSummarizer()

# Summarize your notes
summary = summarizer.summarize(text, summary_ratio=0.3)
print(summary)

Technologies Used

• Natural Language Processing (NLP): For text analysis and summarization
• Machine Learning: Algorithm-based summarization
• TensorFlow/PyTorch: Deep learning frameworks

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - See LICENSE file for details

Author

Hriddhochatterjee