# CGI - HRS

- **Event:** [Global Codex Hackathon: [London]](https://cerebralvalley.ai/e/open-ai-hackathon-london)
- **When:** Wed, Apr 15 at 10:00 AM – 8:00 PM (GMT+1)
- **Where:** CodeNode, London, UK
- **Team:** [Jude Daniels-Smith](https://cerebralvalley.ai/u/JDS), [Jon Dyne](https://cerebralvalley.ai/u/JonDyne), [Adam Brown](https://cerebralvalley.ai/u/AdamBrown316)
- **Gallery:** https://cerebralvalley.ai/e/open-ai-hackathon-london/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/open-ai-hackathon-london/hackathon/gallery/4

This project focuses on developing a Time and Attendance system that integrates alongside our existing payroll platform, bringing a critical function in-house to improve control, efficiency, and data consistency.

The solution includes a user-friendly frontend application where employees can securely log in, view company-specific theming, and receive prompts for upcoming timesheet submissions. Users can enter their working hours, selecting from both project-specific codes and general activity codes, ensuring accurate and flexible time tracking.

A key feature of the platform is its ability to integrate multiple data sources. Where available, external systems such as Jira or card-based sign-in systems can supply attendance data. This data is processed through a microservices-based architecture, enabling each data source to be handled independently.

As an example, a card reader microservice has been developed that takes raw CSV input and converts it into a standardised JSON format. This format is then consumed by a central backend API, which stores and serves the data for frontend use (currently using JSON as a working model, with database integration planned).

This architecture provides a centralised data platform while remaining highly flexible. It allows the system to ingest, transform, and unify data from multiple sources, ensuring consistency across the organisation while supporting different attendance capture methods.

Overall, the solution is designed to be scalable, modular, and extensible, creating a strong foundation for future enhancements and broader adoption across teams and clients.

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