mineral-processing

Open database for metallurgical & mining processes. Synthetic and official datasets for data science, ML, and Power BI. Includes Peruvian mining production data (MINEM 2021–2025).

This repository archives my undergraduate projects, research codes, technical notes, and learning materials from 2022 to 2026. The contents cover mineral processing engineering, artificial intelligence, scientific computing, front-end development, LaTeX writing, Markdown notes, MATLAB modeling, and Python programming.

A living, unofficial Chinese translation of Wills' Mineral Processing Technology (8th ed.) — faithful, terminology-accurate Markdown built for human study and for vectorising into a mineral-processing AI Agent's knowledge base. Continuing updates welcome.

Metallurgical Functions

U-Net segmentation of froth flotation bubbles | MSc Thesis @ University of Tabriz | 92.12% accuracy

Time-series forecasting system for silica concentration in mining using XGBoost, LSTM, and Transformer models, with a Streamlit dashboard for real-time analysis and optimization.

Supervisory control and decoupled MIMO PID regulation for a pilot-scale copper flotation column using PLC, OPC, and industrial HMI.

Mineral Processing Functions Add-in for Excel

After reading "Gaussian process regression for modeling computational and experimental mineral processing data" by Eskanlou et al. (Mineral-X, Stanford), I applied their GPR workflow to my own Cu-Mo plant flotation data and inverted it for the window that minimises Cu in the Mo concentrate.

mining industry vertical-domain MACKORN cone crusher plugin: MACKORN NH/NS hydraulic cone crushers, comparable to Sandvik CH/CS and Metso HP/MP. Cone crusher selection and crushing-plant design. 19 tools, 6 skills, MCP server, no runtime dependencies, good quality, reliable, partner for sustainable development.

Pure-Python mineral processing & extractive metallurgy calculations for students and engineers. Zero dependencies, unit-tested.

Manage mass composition math operations and visualisation

End-to-End Data Analytics Project: Energy, Cost and Emissions Analysis of an Open-Pit Copper Mine

A python library to improve ML algorithms by building physically constrained lag features from residence time distributions

Global dataset on phosphate mining and beneficiation

A fabrication simulation where nothing is faked. Dirt, not ore. An AI and a human build the ancestor of AI from the ground up.

Convert slurry density to volume/mass concentration, dry-solids tonnage and bank volume. For dredging and mineral processing.

📊 Data Science project on industrial process optimization – predicting gold recovery efficiency (Zyfra case study)

AI career intelligence platform: parses your CV, finds genuinely relevant openings in Data & Analytics, Information Systems and Mining/Metallurgy/Process/Recycling across 7 countries, explains every compatibility score, tailors your CV without inventing anything, drafts cover letters and tracks applications. Python + Streamlit.

The LLM reads the textbooks — it doesn't decide anything. Deterministic discovery over a knowledge graph turns tailings data into ranked, priced, traceable R&D hypotheses