International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Call for Paper
Volume 8 Issue 2
March-April 2026
Indexing Partners
Doculink: A Secure, Real-Time Collaborative Platform with Integrated Workflow Management and Git-like Version Control
| Author(s) | Ms. Kavya S, Ms. SOUJANYA SHANBHAG, Ms. SRUJANA J, Mr. SUHAS G KASHYAP, Mr. AVINASH H C |
|---|---|
| Country | India |
| Abstract | The transition to remote and distributed work environments has amplified the need for efficient, real-time collaborative tools. This paper introduces DocuLink, a novel document editing platform engineered to enhance team productivity by seamlessly integrating real-time co-authoring with an intelligent, granular version control system. The platform achieves instantaneous, conflict-free editing by leveraging the Quill rich-text editor and a modern Next.js (React) front-end, supported by a custom backend utilizing Operational Transformation (OT) for robust synchronization. This architecture guarantees strong consistency and an ultra-low latency editing experience. DocuLink is built for enterprise readiness, secured by Clerk authentication, and utilizes AWS S3 for reliable snapshot persistence and version control. DocuLink’s core innovation is its AI layer, which leverages GROQ for high-speed inference to provide cognitive assistance. This enables automated features like change summarization and real-time contextual writing suggestions, transforming version control from a passive auditing task into a proactive, intelligent mechanism. Future work will focus on integrating AI-driven workflow automation and extending support for complex data structures (e.g., custom charts, nested blocks) to deliver a versatile, "Notion-like" experience. |
| Keywords | Operational Transformation (OT), Strong Consistency, Real-Time Editing, Distributed Systems, Firebase Firestore, Ultra-Low Latency Inference, Large Language Models (LLMs), GROQ. AWS S3, Three-Tier Architecture, Next.js, Cognitive Assistance, Version Control. |
| Field | Engineering |
| Published In | Volume 7, Issue 6, November-December 2025 |
| Published On | 2025-12-11 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i06.62742 |
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E-ISSN 2582-2160
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