A compression engine based on the LZW algorithm, designed for efficient storage of text and image data. Implements end-to-end encoding and decoding pipelines with binary processing and padding. Supports grayscale and RGB images, and includes a demo interface to visualize compression and decompression results.

An adaptive text compression system combining RLE, LZW, Huffman coding, and a machine-learning model to automatically select the most efficient compression strategy based on file characteristics.

A pair of RISC-V assembly programs that perform LZW-based compression and decompression of files using Linux system calls for file I/O operations.

A modern, web-based application that provides an efficient hybrid text compression system using a combination of Huffman Coding and LZW algorithms. Users can create an account, upload text files, view detailed compression statistics, manage their compression history, and download the resulting compressed files.

This project implements an LZW-based compression and decompression system in Java. It is designed to both compress text data into a compact format and decompress it back to its original form. The project includes Java classes for both compression and decompression, with a main entry point for easy execution.