Maritime route optimization system for Merchant Marine. Weather-aware A* routing, Holtrop-Mennen vessel modeling, Copernicus data integration.

A Genetic Algorithm (GA) / Discrete Particle Swarm Optimization/ Hybrid (GA-PSO) for nuclear fuel optimization using ML surrogates (DNN, KNN, Random Forest, Ridge) and OpenMC. Optimizes fuel loading patterns for a target k-eff and minimal Power Peaking Factor (PPF).

Django REST API that routes US road trips, finds the cheapest fuel stops within a 500-mile range, and returns a map with total fuel cost

🚗 Fuel Route Optimizer API A Django REST API that calculates optimal fuel stops for long-distance routes in the USA. Features real-time route planning, fuel cost optimization using data from 8,151+ truck stops, and complete route geometry for map visualization. Built with Django 5.0.2, Django REST Framework, and OpenRouteService API.

This project focuses on tracking the operational distance covered by a company's vehicles and machinery. We utilized this data to analyze the variance between the company's budgeted allocation per vehicle and the actual expenditures incurred.

Django REST API that calculates the most cost-effective fuel stops for a USA road trip. Uses OSRM for routing (1 API call), greedy algorithm for cheapest station selection, and returns GeoJSON route map + total fuel cost at 10 MPG.

Computational clean fuel blend optimizer using a physics-based property model and Random Forest ML (R²=0.9997) to search 50,000 blend candidates for a high-octane, low-emissions drop-in gasoline replacement.