Published Paper Details:

Ensuring road safety, particularly for individuals using taxis or private vehicles, is vital for fostering secure urban living. Women, in particular, face heightened risks while traveling, including harassment, inappropriate physical contact, abduction, and assault. Many users would willingly opt for a slightly longer journey if it meant enhanced personal security. However, popular navigation tools such as Google Maps, Apple Maps, and Bing Maps largely fail to incorporate safety-related parameters--such as incidents of theft, harassment, snatching, hijacking, or robbery--into their route planning algorithms. With increasing rates of urban crime, the need for targeted solutions that prioritize women's safety during commutes has become increasingly urgent. To address this challenge, our project introduces a groundbreaking Traveler Safety Solution, designed to improve the safety and experience of women commuters through the use of advanced technology. This system combines several cutting-edge tools: Google Maps API for navigation and traffic data, Yolov8 for real-time object detection, Tesseract OCR for recognizing text, and integration with RTO databases for vehicle and driver verification. Key functionalities include intelligent route selection based not just on speed but on safety data, direct communication options with drivers, automated SMS alerts containing journey specifics, and continuous real-time GPS tracking. The system uses map-matching algorithms to identify deviations from the chosen path and instantly issues emergency alerts if unexpected changes occur, notifying both the traveler and their designated emergency contacts. Post-trip, users are encouraged to rate and review drivers, helping improve service quality over time. This innovative solution not only addresses the safety issues faced by women on the move but also empowers them with critical tools for communication and situational awareness--ultimately enabling safer and more confident travel in urban spaces without plagiarism convert into unique words.