We are proposing a solution to the current transportation issue in our country. We are creating a system where people can rent bicycles and pay according to their travel distance. This system can embed to any current available bike renting company as part of their renting system. These bicycles can be rented from renting stations that are placed in public areas like railway stations and bus stands. This is a pick-and-ride system. They can either be pre-reserved or just come and pick up their bicycles. With this system, fuel shortage is no longer an issue, people don’t have to buy bicycles for themselves, and it is also good for their health too. Most of the previous products that relate to our product mainly use smartphones and their inbuilt components for vehicle tracking and fitness tracking purposes. Measurements are not very accurate when using the phone to track. Renting systems are usually situated in a place and consumers have to go there and rent and return the bikes. Our systems overcome these issues with a pick-and-go renting system. We have bicycle stations, and anyone can pick up their bikes from those stations and a tracking device is placed in the bike. Measurements can be taken accurately, and consumers can pick up and drop off bicycles at their closest stations. The research focuses on developing an accident detection and notification system for timely response to incidents. It explores integrating demand prediction to optimize bicycle availability and repair processes. To engage and motivate riders, interactive elements are incorporated into rides through gamification. The research predicts upcoming bicycle issues through data analysis, enabling proactive maintenance and fewer breakdowns. A weather detection system provides timely weather updates, enhancing safety and planning. The combination aims to improve the overall riding experience while prioritizing safety, efficiency, and satisfaction.