The problem dRyver solves

Applications like Uber provide a matching service and apparently they decentralize it. This is P2P technology at its finest. Or is it?

• Several scandals have emerged out of Uber’s corporate culture as of late. Uber has become notorious for its business practices. The power the company exerts over its drivers has grown from surveillance into possibly predatory practices. They have the ability to see all rides happening at any location in real-time with all social data attached to each rider And have been the subject of controversy on multiple occasions.

• Despite these concerns, Uber has grown at an exponential rate over the past few years and is showing revenue numbers in the billions. But privacy invasion and the vast imbalance of power between a billion-dollar corporation and the drivers are the negatives of Uber that riders must accept when they use its service.

• This is where dRyver comes in. We eliminate the existence of a middle agency, thereby completely removing the regulation of salaries of drivers by corporations. So, the earnings of the driver are solely dependent on the number of rides he/she makes.

• All the data is stored on the peer-to-peer decentralized Polygon Matic Chain. This not only ensures complete security, but also a lightning-fast experience. Data privacy is maintained by the access specifiers of data members and methods defined in the smart contracts. We are not only eliminating the middle man, the L2 solution by Polygon gives us a boost in transaction rate. It is also a known fact that data transfer is faster in a mesh network.

Challenges we ran into

As ethereum main network processes about 15 transactions per second and consumes too much gas, this forced us to look for better alternatives.

• Matic network being a second layer scaling solution on ethereum, it helped us to increase our transaction speed by multiple folds 🚀.
• This also made our application much more secure.

We planned to implement a feature that allows drivers to mine in-house crypto tokens based on the distance they cover in rides. But due to time constraint, we were unable to add it.

Future Expansion 📈 :

We plan to introduce Portis as it would allow users to get started quickly.

• Portis allows DApps to work like traditional webapps.
• Users can easily sign-in and manage their accounts.

We want implement a better algorithm for assigning commuters to drivers.

• We will try to get the list of nearby customers using BFS algorithm, in the mesh network.