DMR basic privacy

StegaVault is a tool for embedding and extracting hidden messages in images, along with detailed metadata extraction capabilities.

JSON encoding/decoding for Numpy arrays and scalars

Encode binary into DNA using methylation

FFmpeg build script using Conan 1.X, targeting hardware acceleration. Without changes, the resulting binary matches the one used in the latest TeamSpeak 6 Client.

Attempted using electroencephalogram (EEG) to decode visual dream content by leveraging an encoding model which generates EEG signals from deep neural network (DNN) feature maps of visual images.

Hidden in plain sight! simple yet effective covert way to obfuscate data (e.g., shellcode), no one will tell gibberish from malicious!

Cryptography engine with all the popular encrypting algorithms.

A Python command-line Morse code encoder and decoder for converting text to International Morse code and back. Built as a learning-focused CLI lab to practice encoding/decoding logic, dictionary-based mappings, and analytical thinking for puzzles and CTF-style challenges.

The project is to Secure data hiding in images using steganography

A Python GUI-based Morse code encoder and decoder built with customtkinter. Designed as a learning-focused lab to practice encoding/decoding logic, symbol-based communication, and GUI integration for analytical thinking, puzzles, and CTF-style problem solving.

Encoding and decoding data using lossless LZ77 compression

Creating transformer (encoder/decoder) from scratch. Also experimented with alibi encodings as opposed to positional

Store binary files using bananas, peaches, pineapples, and kiwi.

A method for encoding Nucleotide data in compact binary format and thus a more size efficient file

A Python-based steganography tool for hiding and extracting messages in image and text files. Created as a student project for the Information Assurance and Security course. Features LSB image encoding and whitespace text encoding. Includes a menu-driven interface for ease of use.

DNA Fountain Algorithm

This project compares five lossless data compression techniques—Binary, Run-Length, Dictionary, Frame of Reference, and Differential Encoding—applied to integer and string CSV data. The performance is evaluated in terms of compression ratio, file size, and encoding/decoding time

Sleep has positive effects on memory consolidation, a critical process for learning and cognitive function. By analyzing changes in both lower and higher-level visual representations of episodic memories before and after sleep, we aim to understand how sleep affects the retention and modification of visual and semantic information.

Reed Solomon Code Implementaion using Python