A Python library for thermal analysis and reaction kinetics. Supports DSC, TGA, and dilatometry with tools for model-fitting (JMAK, Kissinger), model-free (Friedman, KAS, OFW) analysis, data processing, and visualization.

A Materials Informatics project to predict key polymer properties using XGBoost. Includes an end-to-end MLOps pipeline and a live interactive demo deployed on Hugging Face Spaces.

Automated AFM morphology analysis with CNN classification, U-Net segmentation, Voronoi and ColorWheel pipelines, mask editing, batch processing, and reproducible validation.

An open-source, AI-powered FTIR spectroscopy pipeline for polymer engineers. Automatically cleans raw spectral data, applies optical physics corrections, and identifies plastics using Random Forest Machine Learning, Cosine Curve Fitting, and Rule-Based Peak Matching.

Research-grade toolkit for dry-type transformer bushing design featuring insulation aging calculations, dielectric stress analysis, thermal simulations, Weibull reliability modeling, material databases, design optimization, and engineering visualizations.

Optimize smart coating formulations using genetic algorithms - AI meets materials science for better performance and lower cost.