In this project, I have developed a File Compression and Decompression Tool. My tool allows users to compress and decompress files directly through a browser, simulating the behaviour of OS-level file compression utilities.

WEB APP LINK Live Demo: https://file-compressor-project-two.vercel.app/

OBJECTIVE

The primary objective of this project is to: • Understand the working of common file compression algorithms. • Demonstrate how lossless compression techniques can reduce file size without data loss. • Apply Operating System concepts (like file handling and memory optimization) in a user-friendly web environment.

PROJECT OVERVIEW

My File Compressor Web App enables users to: • Upload any file from their system. • Compress the file using efficient lossless algorithms. • Download the compressed file. • Decompress previously compressed files and retrieve the original content.

The web app consists of two main sections:

1. File Compression Page: For uploading, compressing, and downloading files.
2. About Page: Describing the algorithms used and providing student details.

COMPRESSION ALGORITHMS USED

LZ77 (Lempel–Ziv 1977)

A dictionary-based lossless compression algorithm that replaces repeating sequences of data with pointers to earlier occurrences within a sliding window. It reduces redundancy effectively. Huffman Coding An entropy-based technique that assigns shorter binary codes to frequent symbols, minimizing total storage size. It’s widely used in formats like JPEG and MP3. ZIP (Combination of LZ77 + Huffman) A hybrid method combining pattern replacement (LZ77) with efficient encoding (Huffman Coding) to achieve high compression ratios. Used in formats like .zip, .png, and .gzip.

WORKING PRINCIPLE

1. The user uploads a file via the browser.
2. The algorithm reads and compresses it using JavaScript implementations of LZ77 and Huffman Coding.
3. The compressed data is then made available for download.
4. In decompression mode, the reverse process restores the original file without any data loss.

SCREENSHOTS LAYOUT:

WORKING EXAMPLE:

1. Compression

2. Decompression