Concrete Strength Predictor
Machine learning model to predict concrete compressive strength
Project Overview
This project involves developing a machine learning model that accurately predicts the compressive strength of concrete based on its mix design parameters. The model helps engineers optimize concrete mixtures without extensive laboratory testing.
Technical Details
- Python with Scikit-learn
- Random Forest Regression algorithm
- Dataset of 1,000+ concrete mix designs
- R² score of 0.92 on test data
Features
Mix Parameters
Input cement content, water-cement ratio, aggregates, and admixtures
Accurate Predictions
±3 MPa accuracy compared to actual test results