BAHONAR ATTENDANCE SYSTEMBahonar Hospital Attendance System
A system for receiving, processing, correcting, and reporting staff attendance and shift data through Telegram and Bale.
To protect data and infrastructure, a functional diagram replaces a real screenshot.
How does the project work?
The four stages below show the product’s primary flow without exposing sensitive data or details.
- 01 / 04
Data intake
Attendance information or an operational file is received through an authorized channel.
- 02 / 04
Processing
The data structure is checked and prepared for shift rules.
- 03 / 04
Controlled correction
Items needing change are reviewed and recorded in a defined path.
- 04 / 04
Reporting
Output suited to operational needs is made available through the same channel.
Raw attendance data is not an operational answer
Clock-in and clock-out records alone are not enough to understand a shift’s status. Errors, omissions, differing schedules, and the need for specific reports make manual processing slow and error-prone.
This system was built to place processing and correction rules in a repeatable flow.
The tool must be available to the operational user
Telegram and Bale were used as the interface for receiving input and delivering results, so users would not need to migrate to new software for every operation.
A conversational interface does not replace access control or validation; it is only the interaction point, and sensitive operations must be controlled in the system layer.
From input file to reportable data
The processing flow includes intake, structural checks, rule application, and output production. Each stage must distinguish input errors from calculation errors.
This separation is necessary to prevent reports that appear complete but rely on incomplete data.
Corrections must be traceable
Changing attendance data should not be an edit without a record. The correction path should show what needed review and how the result was reflected in the final report.
Access-level details and operation history are not public because of organizational sensitivity.
Output for daily decisions, not dashboard display
A report is useful when it matches an operational question. The system delivers output through a familiar messenger so receiving results does not depend on access to a complex panel.
Report types and shift rules are not publicly listed.
No staff data is shown in the portfolio
All names, identifiers, attendance times, and real reports are outside the case study. Even blurred screenshots are not published until the organization approves them.
This page documents only the problem, functional architecture, and build scope.
A repeatable process for data that previously needed intervention
The system places intake, processing, correction, and reporting in one chain. No time-saving or error-reduction figure has been confirmed for publication.
A specialist demo will be offered only with synthetic data and generalized rules.
What was built within the project scope.
This list is based on project outputs that can be stated publicly—not speculative features or unverified technology.
- 01Messenger-based data intake
- 02Input validation
- 03Attendance and shift processing
- 04Correction workflow
- 05Report generation
- 06Access control
- DATA PROCESSING
- BOT INTERFACE
- WORKFLOW AUTOMATION
- REPORTING SYSTEM
Do you have a similar challenge?
If your project sits between web, operations, content, and automation, we can first clarify the problem and the shortest path to build it.
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