RideX - Intelligent Ride Recommender

The paper focuses on designing and developing RideX, a Ride Recommending Platform aimed at optimizing travel routes and rides on the public system for users and commuters in a cost and time-efficient manner. The project aims to bridge the gap between the existing public transport system and a better travel ecosystem. Additionally, RideX aims to enhance the overall user experience and convenience by providing personalized recommendations based on individual preferences, such as preferred modes of transport, desired arrival times, and comfort levels. By utilizing advanced technologies and data analysis, the platform offers tailored recommendations considering factors like traffic conditions, available public transport options, and estimated travel times. Ultimately, RideX seeks to simplify city navigation, reduce commuting stress, and improve the quality of transportation services for all users.