International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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SYNCOVA - Seamless Task Management and Intelligent Workflow Automation

Author(s) Dr. Pramod R, Mr. MANJU MADHAV V A, Ms. POORNASHREE S V, Mr. ROHAN K RAJOLI, Ms. SRUSHTI G P
Country India
Abstract Traditional task management systems face critical limitations that impede organizational productivity: manual status updates lead to poor visibility, lack of intelligent resource allocation results in skill-task mismatches, communication gaps prevent real-time coordination, and workload imbalances create bottlenecks in team efficiency. These deficiencies result in missed deadlines, underutilized team members, duplicated efforts, and increased administrative overhead. Existing commercial tools such as Trello, Asana, and Jira offer partial solutions but lack the integrated intelligence required for adaptive, context-aware task management that scales from small teams to enterprise-level coordination. SYNCOVA addresses these challenges by introducing an intelligent, full-stack task management and workflow automation platform that combines AI-driven task assignment, real-time collaboration, and predictive analytics into a unified system. The platform employs a layered, event-driven architecture built on React 18 and TypeScript for the frontend, Supabase (PostgreSQL with Row-Level Security) for backend persistence and authentication, and Supabase Realtime for event-driven communication. The system implements intelligent task routing through database triggers and SQL functions that compute skill coverage, analyze workload distribution, and provide automated recommendations based on user expertise, availability, and historical performance. Key innovations include context-aware task assignment with tolerance-based skill matching, predictive delay management through historical data analysis and dependency tracking, adaptive workflow learning that continuously optimizes based on team behavior patterns, and real-time workload balancing with automatic capacity planning. The architecture ensures security through role-based access control at both the database and application layers, enabling seamless scaling from small teams to enterprise deployments while maintaining sub-500ms response times and supporting 500+ concurrent users. Evaluation results demonstrate significant improvements: user satisfaction increased by 38%, with overall satisfaction reaching 82% compared to 58% for traditional methods. Additionally, 83% of users confirmed that SYNCOVA's intelligent task management provided actionable insights for workflow optimization. The system achieves an overall capability score of 82%, representing a 32-percentage point improvement over traditional tools, with Automation & Intelligence capabilities showing the most significant enhancement at +38 percentage points. These improvements translate to measurable business outcomes including 18% increase in task completion rates, 42% reduction in training time, and 32% reduction in administrative overhead, positioning SYNCOVA as a comprehensive solution for modern workforce coordination and intelligent project management.
Keywords Project Management, Task Management, Intelligent Workflow Automation, Real-Time Collaboration, Skill-Based Assignment
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62320
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E-ISSN 2582-2160
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