3. Data, Science & AI

Detects exoplanet transits in astronomical light curve data using the Transit Least Squares algorithm, optimized for transit-shaped signals.

Computes AC power flow branch equations using pi-model with transformer parameters, supporting flow direction, nodal balance, and MVA limit checks.

Repairs infeasible flexible job shop schedules to meet downtime and precedence constraints while maintaining policy budget.

Generates natural-sounding audio from text using OpenAI's TTS API with customizable voices and tones for various applications.

Solves finite-horizon Linear Quadratic Regulator problems via dynamic programming for Model Predictive Control applications.

Estimates camera motion using optical flow and affine/homography techniques with multi-label frame labeling for video processing.

Extracts I-frames from video files (MP4, MKV, AVI) for analysis, previews, or processing using FFmpeg command-line tool.

Optimizes Model Predictive Control parameters (prediction horizon and cost matrices) for web handling automation in manufacturing processes.

Detects statistically significant long-term trends in time series data using parametric and non-parametric statistical methods.

Performs nonlinear least squares parameter estimation from experimental data using SciPy's curve_fit function.

Downloads National Weather Service flood stage thresholds for USGS stations, including action, minor, moderate, and major flood stages.

Retrieves points of interest by city from a bundled dataset for sightseeing suggestions and destination recommendations.

Retrieves city lists for specified states from internal geospatial data, enabling input validation and destination expansion for travel services.

Classifies environmental and meteorological variables into driver categories for attribution analysis, enabling meaningful grouping of complex factors.

Identifies Pareto-optimal solutions and trade-offs in multi-objective optimization problems with conflicting goals.

Preprocesses astronomical light curve data by removing outliers, trends, and handling quality flags for period analysis using lightkurve.

Python toolkit for computational materials science, handling crystal structures, phase diagrams, band structures, DOS, and Materials Project integration.

Performs symbolic mathematics in Python, including algebra, calculus, and physics calculations, providing exact solutions with variables.

Harmonizes clinical laboratory data across sources by converting units, standardizing formats, and cleaning data quality issues for healthcare analytics.

Quantifies the relative contribution of each factor to the variance of a response variable using R² decomposition in statistical analysis.

Creates deterministic, standalone data visualizations using D3.js v6 from local data files, outputting HTML/SVG and optional PNG without external dependencies.

Calculates standardized powerlifting competition scores across weight classes, enabling fair performance comparison among athletes.

Queries PubChem database (110M+ compounds) via API for compound properties, similarity, substructure, and bioactivity searches in cheminformatics.

Converts PDFs to Markdown while preserving LaTeX equations and document structure for academic and technical documents.