The platform serves as a centralized archive where students, faculty, and researchers can submit, browse, and retrieve thesis and capstone projects with ease. Archeion integrates content similarity detection powered by Sentence-BERT (SBERT) to promote academic integrity by identifying semantically similar works — and trend insights tools that surface patterns in research topics over time.

Archeion was built on the belief that institutional knowledge should not be siloed or lost to time. Every thesis and capstone project represents months of rigorous inquiry, and this system exists to ensure that work remains discoverable, properly attributed, and useful to the scholars who come after.

Archeion is developed by a four-person capstone team from the College of Computer Studies, Tarlac State University — Anjela, Juliana, Ashlyn, and Roxanne. Driven by a shared commitment to innovation and academic service, the team designed and engineered the system from the ground up, spanning backend architecture, semantic similarity algorithms, user interface design, and research documentation.

Archeion is intended for use by students, faculty, and staff within the College of Computer Studies at Tarlac State University. Access is role-based, ensuring the right people have the right level of interaction with the repository.

Unlike a simple file storage system, Archeion is intelligent. It uses SBERT-powered semantic similarity detection to flag research papers that are conceptually similar — not just keyword matches — helping maintain academic integrity. Its trend insights feature also helps advisers and students identify popular and emerging research topics within CCS.