The BikeNodePlanner: A data-driven decision support tool for bicycle node network planning
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Updated
Jun 19, 2025 - Python
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.
TN-Epic is the world’s first State-Scale Experience OS, transforming Tamil Nadu into a playable AR Meta-Game. By turning monuments into levels and merchants into NPCs, we solve the 80% revenue leakage and ₹1,200Cr sanitation crisis. Built with ARCore, YOLOv8, and Java Spring Boot, it gamifies civic duty for 286M annual tourists.
Automated input data generation for the BikeNodePlanner for Denmark
Open source tools for wilderness conservation. Built from the granite walls of Cochamó, Chile
Source code for the scientific paper analyzing the Danish bicycle node network
AI Decision Support System for sustainable tourism management using anomaly detection, RAG and LLM-powered policy recommendations.
🗺️ Deliver GPS-accurate Tanzania tourism data with real-time weather and seasonal guides through a robust Django REST API.
Professional Portfolio - Exploring the intersection of the sea, the stars, and technology
TixWave is a web platform for concert ticket sales and official merchandise that supports local tourism and MSME empowerment. It offers e tickets with QR codes, venue pickup for merch, and cultural editorial features promoting local destinations and cuisine, aligning with SDG 8.9. Built with PHP, MySQL, and web technologies.
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.
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.
Platform destinasi pintar untuk menemukan hidden gem & wisata berkelanjutan di Indonesia berbasis HTML5, Tailwind CSS, dan Vanilla JS. Mendukung SDG 8, 9, dan 12 PBB.
Concept pitch for GTELS — an AI-powered, expert-driven platform for eco-conscious travel recommendations (2024).
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