https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.
https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: about 2 months ago
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This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

• Host: GitHub
• URL: https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly
• Owner: m-rishab
• Created: 2024-04-09T09:45:51.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-04-09T12:15:42.000Z (9 months ago)
• Last Synced: 2024-04-10T10:58:50.100Z (9 months ago)
• Topics: correlation-analysis, flask, kmeans-clustering, numpy, pandas, plotly, python, scikit-learn, seaborn, standardscaler
• Language: HTML
• Homepage:
• Size: 14.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PlotlyHR: Data-Driven Recruitment System and HR Dashboard

## Objective:

- Develop a comprehensive recruitment system and HR dashboard(3d plots) using Plotly.

- Efficiently identify and evaluate potential candidates for placement within the organization.

- Enable data-driven decision-making to ensure the selection of the most qualified individuals.

## Plotly Definition:

Plotly is a Python library for creating interactive and publication-quality graphs and charts. It allows users to generate a wide variety of plots, including 3D plots, scatter plots, line charts, bar charts, and more. Plotly's interactive features enable users to explore data in-depth, making it an ideal choice for creating dynamic HR dashboards that provide insights into candidate profiles, evaluation criteria, and recruitment processes.

## Key Components:

- Candidate Management

- Automated Evaluation

- Data Visualization

- Collaboration Tools

- Integration

- Scalability

## Live project

Click on this link: https://hrs-1pdp.onrender.com/

## Demo:





## How to Run:

To run the project, use the following command:

`python app.py`