A specialized Android application that extracts SMS and broader device artifacts into structured forensic datasets for LLM training, evidence handling, and longitudinal change tracking.
Production
Android product build focused on acquisition, monitoring, packaging, and repeatable dataset generation
Product architect, Android engineer, and forensic workflow designer
A specialized Android application that extracts SMS and broader device artifacts into structured forensic datasets for LLM training, evidence handling, and longitudinal change tracking.
Each section below maps to the structure requested in the specification: problem framing, architecture thinking, engineering challenges, impact, and roadmap.
SMS Clone is designed to bridge mobile communication data and AI dataset preparation by extracting conversations and related artifacts into structured, portable forensic outputs.
The product groups fragmented SMS records into chronological, contact-specific threads while preserving operational signals around changes, integrity, and packaging.
Beyond SMS, the app captures supporting mobile evidence such as call logs, contacts, calendar data, browser history, app usage, and media EXIF metadata.
The implementation is centered on Kotlin, WorkManager, Room shadow mirroring, and Android storage APIs so the export pipeline can run safely in the foreground or on scheduled daily syncs.
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