Python Data Anonymization & Masking Library For Data Science Tasks

A powerful encryption and decryption tool that combines the Vigenère cipher, XOR encryption, and Base64 encoding to secure messages. This tool allows users to encode and decode messages using a secret key, ensuring an extra layer of security.

[🧬] Sphinx is image encryption software with DNA coding, spatial chaos and a unique key. It converts the RGB components into DNA matrices, combines them with XOR, scrambles them with a random sequence and decrypts them to recover the image.

ISO C library for various base encodings

Data encoding techniques for Image & Video Coding assignments

This is the Multimedia Programming project which implements the Audio Algorithms such as changing frequency, data encoding format (PCM) , amplitude, mono or stereo etc.

Creating a Website that has Machine Learning feature to predict Students Performance segmentation (using Clustering Model)

Data encoding functions for Node.js.

Compressor - Simple Repeated Characters Compression Algorithm (Go Version)

Machine Learning Models

data2vid is a proof-of-concept (PoC) Go module that provides a command-line interface (CLI) for encoding arbitrary data files (such as PDF, JPEG, ZIP, TXT, etc.) into MP4 video files and subsequently decoding them back to their original form. The tool works by converting raw binary data directly into mp4 video black & white frames.

Variant Vector Serialization/Deserialization (Go)

The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.

Encode textual data into QR codes, compile these codes into visual formats (video and GIF), and then decode them back to the original text.

Image Transcoder is a Node.js tool to convert binary data into images and decode them back. It uses sharp for image processing, worker threads for efficiency, and supports metadata encoding, customizable dimensions, and error handling.

Projet réalisé dans le cadre de l'UE Codages & Cryptographie en M1 à l'Université de Bourgogne

Code challenge for a hiring process, implementing a decompressor for files condensed using a variant upon the Lempel-Ziv-Welch algorithm

Variant Vector Serialization/Deserialization

Compressor - Simple Repeated Characters Compression Algorithm