https://github.com/asifrahaman13/laughing-guide
A blazing-fast HR payroll system designed to deal with simplicity as well as blazing-fast speed. The application is capable of handling thousands of files concurrently, making it extremely efficient for the HR payroll system.
https://github.com/asifrahaman13/laughing-guide
docker fastapi git golang linux postgres python typescript
Last synced: 3 months ago
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A blazing-fast HR payroll system designed to deal with simplicity as well as blazing-fast speed. The application is capable of handling thousands of files concurrently, making it extremely efficient for the HR payroll system.
- Host: GitHub
- URL: https://github.com/asifrahaman13/laughing-guide
- Owner: asifrahaman13
- Created: 2025-01-14T05:04:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-18T05:13:22.000Z (over 1 year ago)
- Last Synced: 2025-03-21T18:23:17.253Z (over 1 year ago)
- Topics: docker, fastapi, git, golang, linux, postgres, python, typescript
- Language: TypeScript
- Homepage:
- Size: 1.09 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
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README
# AI based Blazing fast HR payroll system.⚡⚡
A blazing-fast HR payroll system designed to deal with simplicity as well as blazing-fast speed. The application is capable of handling thousands of files concurrently, making it extremely efficient for the HR payroll system.






## Tech stacks
A large number of tech stacks are used to apply different concepts and take advantages of their strengths.
`python` `golang` `javascript` `typescript` `fastapi` `qdrant` `gin` `next js` `postgresql` `docker` `redis` `git` `linux` `ollama` `aws`
## Considerations
The appplication is built with the intention of speed, quality, maintanability as well as developers experience. A large number of different tech stacks are used to take advantages of their respective strength.
- HR can work on payroll system with ease.
- AI integrations to help the HRs get the informatin about the payrolls through natural conversation.
## Run the application
The best way to run this application is to use the docker considering a lot of services are being used.
Make sure that you have the correct credentials in your environment and configuration files. You can also change them depending upon the requirements. For example instead of using the postgres, qdrant service locally you can use the hosted services.
```bash
docker compose up
```
## Ports
- Ai will run on port `8080`
- The backend port will run on port `8000`
- Frontend will run on port `3000`