Android Based Car Pooling System

ABSTRACT - The increasing demand for sustainable transportation solutions has led to the rise of carpooling systems that aim to reduce traffic congestion, travel costs, and environmental impact. This paper presents the design and development of an Android-based Car Pooling System, tailored to provide a seamless ride-sharing experience for users. The system enables drivers to offer available seats in their vehicles while allowing passengers to find and join rides based on real-time GPS data. A key feature of the application is the integration of a Decision Tree algorithm to efficiently match riders with drivers based on factors such as proximity, route similarity, and user preferences. Additionally, the system introduces driver-controlled fare settings, allowing flexibility and transparency in ride pricing. Special considerations for safety, including a female-only ride option and an SOS alert feature, are incorporated to enhance user trust and security. Designed with scalability and affordability in mind, this project offers an effective solution for everyday commuters, particularly within budget constraints. The proposed system demonstrates the potential of leveraging mobile technology to create smarter, safer, and more eco-friendly urban mobility options. Key Words: Android Application, Car Pooling, Ride Sharing, Decision Tree Algorithm, GPS Integration, Dynamic Fare Setting, Female-Only Ride Option, Ride Matching, Urban Mobility, Sustainable Transportation, User Safety, Real-Time Tracking.