David Mamani

Project

Sustainable Concrete Mix Optimizer

Multi-objective machine learning: move sliders and watch predicted strength and CO2 footprint update live.

Based on multi-objective optimization published in ASCE. A surrogate model predicts compressive strength while a genetic algorithm explores the strength-vs-carbon Pareto front, with criteria adaptable to Peru’s E.060 code.

Based on published research — full brief in the repository (research/). Demo under development.