ReGen is a utility tool simplifying Regex creation by selecting values from logs or text. It enhances efficiency for digital forensics, defense, validation, etc. Still in early stages, it aims to streamline Regex writing, boosting professionals' work efficiency.

This is a Regex Matching web app that allows users to input a test string and a pattern (regular expression) to search for and displays the number of matches and all the matches found.

This project focuses on price prediction using advanced data cleaning, regex-based address parsing, and feature engineering. It includes normalization, correlation analysis, and multiple regression models. Bayesian Regression achieved the highest accuracy at 91.89%. Evaluation involved R² score, cross-validation, and GridSearchCV for HP Tuning.

Convert text with swearwords to text with euphemisms. Copy new text to clipboard, if required.