SimilarityAI

Project Type: Python / Jupyter Notebook File: similarityAi.ipynb

Overview

SimilarityAI is a Python-based project that analyzes and detects similarity between different data inputs, such as text or code snippets. It uses various similarity metrics and algorithms to measure and compare data.

Key Features

• Compute similarity between texts or code snippets.
• Supports multiple similarity metrics.
• Provides visualizations for better understanding of similarity results.
• Easy-to-use Jupyter Notebook interface for experimentation.

Libraries Used

• pandas
• numpy
• sklearn
• difflib
• matplotlib / seaborn (for visualization)

How to Run

1. Clone the repository.

2. Install required libraries:

   pip install pandas numpy scikit-learn matplotlib seaborn

3. Open similarityAi.ipynb in Jupyter Notebook.

4. Run the cells step by step to analyze similarity between your data inputs.

Project Repository

SimilarityAI GitHub Repository