Title Similarity Detection
Submitted project titles are compared with approved repository titles to identify possible similarities before adviser evaluation.
CAPSERA helps students and advisers manage proposals, similarity analysis, evaluations, revisions, and research records in one centralized system.
The roots of the College of Computer Studies (CCS) are deeply intertwined with the historical evolution of Colegio de San Gabriel Arcangel (CDSGA).
CDSGA was founded by Dr. Gabriel G. Uriarte and Dr. Lucina P. Uriarte in Sapang Palay, City of San Jose del Monte, Bulacan — initially established as a therapeutic basic education school.
As local socio-economic and technological demands grew, CDSGA expanded into tertiary and technical education, stepping into IT training through TESDA-accredited qualifications such as the Associate in Computer Technology (ACT) program.
Recognizing the critical role of information technology in global industries, CDSGA secured programmatic transition approvals from the Commission on Higher Education (CHED) to officially launch the Bachelor of Science in Information Technology (BSIT) and Bachelor of Science in Computer Science (BSCS) programs.
The College of Computer Studies now serves as a vital pillar of CDSGA's transformational leadership identity. Guided by the unique Gabrielian culture, the department continuously upgrades its computer laboratory facilities and aligns its curriculum with industry standards to develop globally competitive, functionally productive, and technologically adept IT professionals.
CAPSERA was built to make capstone research management more organized, efficient, and reliable. It connects proposal submission, similarity analysis, adviser evaluation, progress monitoring, and approved research archiving in one centralized system.
Real-time statistics retrieved from the institutional repository database.
Approved and recorded capstone projects within the institutional repository.
The system compares submitted project titles and abstracts with approved repository records using TF-IDF and Cosine Similarity to identify possible similarities for adviser review.
Submitted project titles are compared with approved repository titles to identify possible similarities before adviser evaluation.
Submitted abstracts are compared with approved repository abstracts to measure textual similarity and identify potentially related research.
TF-IDF assigns weights to terms based on their frequency in a document and across the approved project collection.
Cosine Similarity compares the resulting text vectors and produces a similarity score for the submitted title and abstract.
The system guides users from account request and proposal submission through similarity analysis, adviser evaluation, chapter review, full chapter approval, and final repository recording.
Students and advisers submit an account request before accessing the platform.
The administrator reviews account requests and approves eligible users before access is granted.
Students form a team and secure an accepted adviser before continuing with the proposal process.
The team submits the proposed title and abstract for similarity checking and adviser review.
The submitted text is compared with approved repository records using TF-IDF and Cosine Similarity.
The system presents detected similarity results and related repository projects for adviser review.
The adviser reviews the proposal and similarity report and records the appropriate decision.
The proposal is returned for revision when needed or approved so the team can continue to the chapter phase.
Chapter 1 is submitted and reviewed before the next chapter is unlocked.
Chapter 2 is submitted for adviser evaluation and is unlocked after the required prior approval.
Chapter 3 is submitted, evaluated, and reviewed before the research team proceeds.
Chapter 4 is submitted for adviser evaluation and approval before the final chapter stage.
Chapter 5 is submitted and evaluated. After all five chapters are approved, the full chapter stage opens.
The completed full chapter is manually uploaded and submitted to the adviser for final review.
The adviser approves the full chapter and sends it to the administrator for final repository recording.
Search the institutional repository using program and academic-year filters to locate approved capstone projects, including final defended and book-bound records.
The platform centralizes proposal evaluation, similarity analysis, adviser review, research progress, and approved capstone records in one academic system.
Title and abstract similarity analysis gives advisers relevant comparison results before they make an evaluation decision.
Students can search approved capstone projects by program and academic year for relevant institutional research references.
Approved capstone projects are maintained as institutional repository records, including final defended and book-bound projects.
Centralized project, proposal, evaluation, submission, and repository records support organized academic research management.
Request an account to access a centralized platform for proposal submission, title and abstract similarity analysis, adviser evaluation, research submissions, and institutional repository management.