The BikeNodePlanner: A data-driven decision support tool for bicycle node network planning

This repo includes the code developed during the DSSGx Munich 2024 fellowship for the project that supports the Bavarian Forest National Park with their project to monitor and manage visitors of the Bavarian Forest.

Automated input data generation for the BikeNodePlanner for Denmark

Bicycle node network loop analysis

RIHS - Recomendador Inteligente de Hospedagem Sustentável API desenvolvida em FastAPI que utiliza modelos de Machine Learning para classificar e pontuar a sustentabilidade de estabelecimentos hoteleiros. O sistema analisa características como eficiência energética, gestão de resíduos, conservação de água e impacto social para fornecer os scores.

People travel for short-term to other places from their normal place of residence and during these temporary visits consume goods and services like transportation, accommodation, etc., and the entire process is known as tourism. The tourism industry revolves around providing enjoyment and pleasurable experiences.

Professional Portfolio - Exploring the intersection of the sea, the stars, and technology