ML POWER
PROJECT WORLD
SmartPAY
ML Salary Predictor · ML regression models trained on 3,000+ salary records. 85%+ prediction accuracy — cuts HR workload by 60%.
WORLD
Fiery Gorge of Kilauea
Volcanic data forges where salary models are refined.
TILESET
Dataset Core
3,000+ salary records
Cleaning Step
Null and noise handling
Feature Build
Role, exp, location
Model Bench
Regression comparisons
Eval Metrics
MAE / RMSE / R2
Inference API
Prediction service
Bias Check
Fairness sanity pass
Report Export
HR-ready summaries
ASSETS
Prediction Form
Input salary factors
Result Panel
Estimated compensation
Model Insights
Feature impact view
Trend Charts
Market comparison
Batch Mode
Multiple candidate runs
HR Dashboard
Planning assistance
MISSION BRIEF
PROBLEM: Salary estimation was manual, inconsistent, and time-consuming for HR teams.
SOLUTION: A data-driven salary prediction engine using cleaned historical records and ML regression.
OUTCOME: Reached 85%+ accuracy on 3,000+ records and significantly reduced manual HR effort.
KEY HIGHLIGHTS
- Trained and compared multiple regression model variants
- Performed feature engineering and outlier handling on salary data
- Built prediction flow for quick HR planning and benchmarking
- Presented explainable insights for non-technical business users
PROJECT STATS
85%+
ACCURACY
3,000+
RECORDS
-60% work
HRSAVED
TECH STACK
PythonScikit-learnPandasNumPy
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