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Manuscript Management
Upload, organize, view, and manage research manuscripts and defense-related files.
TheSync is a web-based research defense documentation and evaluation platform developed for the College of Sciences, Technology and Communication, Inc. — CSTC Sariaya.
Research Defense Documentation and Evaluation System
TheSync centralizes important research defense activities by providing students, panelists, and chairpersons with a shared platform for managing manuscripts, defense documentation, comments, reports, and other research-related records.
Instead of relying only on separate files, handwritten notes, and manually organized documentation, TheSync brings relevant defense information together in one accessible system.
Support a more organized, accessible, and consistent research defense documentation process for CSTC Sariaya.
TheSync combines manuscript management, AI-assisted transcription, defense documentation, feedback, and reporting in one platform.
Upload, organize, view, and manage research manuscripts and defense-related files.
AssemblyAI generates a full-session transcript after a defense ends, supporting organized digital documentation.
Natural language processing identifies research key concepts and verbal recommendations from defense transcripts.
Submitted manuscripts can be processed through the system's similarity checking integration, with scan results recorded for authorized review.
Organize research groups, advisers, members, and authorized users within the system.
Review manual comments, annotations, full transcripts, and extracted voice comments using a verification checklist.
TheSync captures the defense discussion as a session recording. After the session is completed, AssemblyAI processes the recorded audio to generate a full transcript with speaker labels and timestamps.
The transcript becomes part of the group's centralized defense record, alongside manually recorded comments and PDF annotations.
TheSync analyzes transcript content using natural language processing to identify important research concepts and spoken recommendations. Students can mark revisions as done, while authorized panelists and chairpersons verify the extracted comments.
Chairpersons and panelists discuss and document research feedback.
The system captures and saves the defense session recording.
After the session, AssemblyAI generates the full transcript with speaker labels and timestamps.
Key concepts and voice comments are organized into defense reports and revision checklists for review and verification.
The group's final manuscript is prepared for plagiarism checking.
An authorized chairperson starts the plagiarism scan through TheSync.
The manuscript is submitted to the Copyleaks plagiarism checking service for analysis.
The scan result is associated with the research group and made available for authorized review.
TheSync integrates Copyleaks to support similarity checking for submitted research manuscripts and to provide scan results for authorized review.
Through the integration, authorized users can initiate a plagiarism scan from within TheSync without requiring students to use a separate plagiarism checking interface.
Scan results can then be associated with the corresponding research group, helping centralize manuscript records and plagiarism documentation within the research defense workflow.
The development of TheSync is supported by related literature and studies concerning automatic speech recognition, natural language processing, plagiarism detection, web-based systems, and digital research documentation.
Findings from these studies provide the research basis for integrating AI-assisted transcription, text processing, similarity checking, and centralized documentation into the research defense workflow.
Kshirsagar et al. (2023) discussed multilingual automatic speech recognition, while Latifa and Maruf (2024) explored transcription in educational and academic contexts. These studies inform the system's use of speech-to-text technology for defense documentation.
Khurana et al. (2023) identified information extraction as an important application of NLP, while Abeyie (2026) and Vig and Singh (2022) support the use of TF-IDF and dependency parsing for identifying relevant terms and relationships within textual data.
Studies from 2022 to 2026 support the use of automated plagiarism and similarity detection in academic writing. Amor Oliva and May Guillermo (2026) reported that Copyleaks achieved a 99% F-score in AI-generated text detection and similarity detection. These findings support TheSync's integration of the Copyleaks API for manuscript similarity checking and plagiarism reporting.
Rasyidi et al. (2022) demonstrated how web-based thesis systems improve accessibility and centralized record management, while Fernandez et al. (2025) emphasized digital record management, document histories, and revision tracking.
Manage research groups, manuscripts, defense documentation, transcripts, and other research-related records.
Access authorized research groups, participate in defense documentation, and review defense information.
Manage research defense activities, documentation, manuscript records, reports, schedules, and users.
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