International Journal on Science and Technology

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Automated Attendance Processing and Dashboard System with Real-Time WhatsApp Reporting Analytics

Author(s) Dr. P . Anbumani, Mr. K.Senthil kumar, Niswanth T, NithishSarwin M, Naresh Kumar J, Vijay AK
Country India
Abstract This paper presents BIOSYNC 1.0, an innovative attendance automation and visualization system tailored for educational institutions. Traditional biometric solutions, such as those from ESSL, ZKTeco, and other vendors, primarily focus on recording attendance logs and exporting them in raw Excel formats, leaving administrators to manually interpret, compile, and distribute the data. Such systems lack integration with modern communication tools and fail to provide institution-wide analytics. BIOSYNC 1.0 addresses these shortcomings by introducing a dual-layer architecture that integrates local automation with a cloud-based analytics dashboard.
At the local automation layer, BIOSYNC 1.0 monitors a designated folder for biometric exports in Excel or CSV formats. Upon detecting a file, the system automatically processes it into structured daily reports. These reports highlight total attendance, absentees, and offline department flags. The pipeline then generates WhatsApp-ready summaries, ensuring that department heads, staff, and administrators receive real-time notifications without manual intervention. Simultaneously, reports are archived into a month-wise backup system, creating a tamper-proof and organized record of attendance over time.
The cloud-based visualization layer extends these capabilities. Processed reports are uploaded to a centralized dashboard powered by Supabase (backend) and React (frontend). Once uploaded, the reports are parsed into normalized datasets with key attributes such as year, department, section, and date. This enables stakeholders to visualize attendance patterns using bar charts, line graphs, and trend analyses. The system supports role-based authentication, where administrators manage uploads and users, while faculty access filtered dashboards for their specific classes or departments
By combining real-time reporting, secure archival, and advanced visualization, BIOSYNC 1.0 transforms attendance management into an intelligent analytics system. It ensures seamless communication, reduces manual workload, and provides both micro-level (class-specific) and macro-level (institution-wide) insights. This positions BIOSYNC 1.0 as a significant advancement over existing biometric solutions that remain limited to data collection and static reporting.
Keywords Attendance Automation, Biometric Processing, WhatsApp Integration, Supabase, React Dashboard, Role-Based Access
Field Computer Applications
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-03-27
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