The problem Rule Zer0 solves

Rule Zer0 is a revolutionary platform designed to make traffic management more transparent, efficient, and rewarding for responsible drivers. By leveraging blockchain technology and AI, it creates a balanced ecosystem of rewards and penalties to promote safer roads and communities. Drivers can use Rule Zer0 to track their traffic violations with full transparency, accessing details such as violation type, time, location, and fine status. The platform simplifies fine payments by supporting multiple options, including UPI-to-crypto through Coinbase Wallet and an integrated in-platform wallet, making the process hassle-free and efficient.

Rule Zer0 incentivizes compliance with traffic regulations through a dynamic rewards system. Safe drivers are rewarded with points, which can be redeemed for coupons, alternative benefits, or other incentives. The AI agent, Galadriel, analyzes user behavior, violations, and improvements to distribute rewards fairly. For example, drivers who demonstrate a decline in violations or consistently maintain good driving habits receive higher rewards, while repeat offenders receive minimal or no rewards. This adaptive system encourages positive behavioral changes, helping drivers understand and improve their habits.

Additionally, Rule Zer0 features a leaderboard that gamifies the experience by showcasing top-performing drivers, fostering healthy competition. Users can search and compare profiles, further enhancing accountability and motivation to drive safely. The decentralized, smart contract-backed system ensures secure, tamper-proof records of violations, payments, and rewards. By combining transparency, automation, and incentives, Rule Zer0 transforms traffic rule enforcement into an engaging and self-sustaining ecosystem that benefits both drivers and society, ultimately making roads safer for everyone.

Challenges we ran into

One of the primary hurdles we encountered while developing Rule Zer0 was integrating the anon-Aadhaar authentication system. Ensuring seamless Aadhaar and Driving License (DL) verification on the platform was challenging due to the complexity of handling these sensitive data sources and aligning them with our decentralized architecture. We had to ensure that the system was secure, efficient, and compliant with privacy standards while also allowing for the smooth flow of data between the user and the smart contract. This required intricate handling of authentication and validation processes, as well as developing robust error handling and security protocols to prevent any potential breaches.

After successfully integrating anon-Aadhaar for user verification, our next challenge was incorporating the frontend into the scaffold-ETH framework. This integration was essential for ensuring that the user interface was functional, responsive, and aligned with our smart contract logic. It was a crucial step because it tied together the blockchain and frontend components of the platform, ensuring that users could view violations, make payments, track rewards, and interact with the ecosystem efficiently.

The most complex part of the project was integrating AI to analyze vehicle video streams for detecting traffic violations. We used AI-based models to process and classify video data in real-time, identifying violations such as speeding, running red lights, or illegal parking. Once violations were identified, they needed to be registered on-chain. This process involved using an AI agent, which would respond with violation details, which were then recorded by our smart contract. The challenge here was to ensure that the AI could classify violations accurately.