Navigation systems typically focus only on the distance from the user’s origin to their destination and traffic optimization, which provides a solution for travelers to reach their destination, but adding more amenities to navigation systems can provide travelers with richer, actionable information that supports safer, healthier, and more comfortable journeys. In this regard, the current study provides a new context-aware navigation system by integrating the OpenStreetMap (OSM) application programming interfaces (APIs) with APIs of real-time environmental data such as air quality index (AQI), temperature, wind speed, rainfall forecasts, and cloudiness, as well as APIs of various important points of interest, including hotels, restaurants, cafes, fuel filling stations, bus stops, and railway stations. Incorporating these features into OSM provides travelers with key insights into the environmental conditions under which they choose to travel, visibility of other amenities close to their interests, which improves trip planning convenience, and it also provides information on other public transport modes for multimodal navigation before planning their itinerary. The current research work demonstrates the technical viability and real-world benefits of a unified navigation platform, which adjusts user needs and external factors via a multi-source, API-driven approach. In addition, this study underlines the significance of comprehensive, contextual mapping tools that enhance individualized travel experiences and promote human well-being.