Skip to main content
2 min read10 weeks

HR Analytics & Employee Attrition Predictor

MediumBTech CSEBCAMCABSc IT+7 moreData Science
Share:
100% Free

Get Free Synopsis PDF

We will prepare a detailed synopsis for your college submission. Includes problem statement, objectives, DFD, ER diagram, and more.

A people analytics portal that analyses workforce data, predicts which employees may leave, and highlights factors such as workload, pay, and growth that drive attrition.

Problem Statement

High attrition increases hiring cost and disrupts teams. HR departments usually react after resignations instead of acting on early signals.

Objectives

1

Explore workforce data and attrition patterns

2

Build an attrition prediction model

3

Identify department-level risk factors

4

Present insights through an HR dashboard

Modules

M1

Employee Data Hub

Import and manage employee records, surveys, and appraisal data.

M2

Attrition Model

Classification model with explainable risk factors.

M3

Insights Dashboard

Department heatmaps, tenure analysis, and risk lists.

M4

Action Tracker

Record retention actions and review their results.

Expected Output

A dashboard showing attrition risk by team and employee, with the main contributing factors and suggested actions.

Future Scope

Hiring funnel analytics, sentiment analysis on survey comments, and compensation benchmarking.

Similar Project Ideas

Frequently Asked Questions

Click the "Get Free Synopsis PDF" button on this page. Fill in your details and we will send a detailed synopsis to your WhatsApp within 24 hours at no cost.
Yes, this project includes a detailed problem statement, objectives, and module breakdown that you can use for your college submission. The synopsis PDF we provide is formatted for academic submission.
This project uses: Scikit-learn, PostgreSQL, Django, Python. Basic knowledge of these technologies is recommended before starting.