Concrete Compressive Strength & Sustainability Predictor

Watch Live Demo Video (Click the image above)

Predicts concrete compressive strength + sustainability metrics (CO₂, energy, resource depletion) from mix design inputs.
Trained Random Forest model deployed as a public FastAPI endpoint.
Instant real-time predictions via a beautiful Flutter mobile app.
Helps engineers create stronger, greener concrete — fast and sustainably.

Dataset

• Source: Kaggle (extended with sustainability features)
• Link: https://www.kaggle.com/datasets/pritamdas/concrete-compressive-strength-data
• 1,030 samples | 9 input features | Preprocessed & standardized

Best Model

Random Forest Regressor → best_model.pkl

Public API

• Base URL: https://regression-analysis.onrender.com
• Swagger UI: https://regression-analysis.onrender.com/docs
  (No auth • CORS enabled • Pydantic validation)

Flutter Mobile App

git clone https://github.com/Glorycodess/linear_regression_model.git
cd linear_regression_model/summative/FlutterApp
flutter pub get
flutter run