Portfolio

Team Project (3 contributors)

Developed a comprehensive personal safety application that provides instant access to help during emergencies using precise location tracking and real-time alerting.
Integrated an interactive map selector to automatically fetch and share the user's exact geolocation with emergency responders.
Implemented an ambient noise detection feature that securely captures background audio to provide critical context to emergency contacts.
Built robust backend API endpoints to handle emergency dispatch requests, log historical location data, and securely process audio recordings.

Developed a steganography web application that allows users to seamlessly hide and reveal secret text messages within PNG images.
Implemented an encryption algorithm that manipulates the Least Significant Bit (LSB) of the red color channel to conceal data without visibly altering the image.
Engineered a decryption pipeline that reads prepended message length headers to accurately extract and reconstruct hidden binary data.
Utilized Python and the Drafter framework to build an intuitive user interface, integrating the Pillow library for efficient image processing.