This project presents an innovative platform empowering citizens to report traffic violation via smartphones. With intuitive interface for public and comprehensive dashboards for authorities, the system integrates machine learning for evidence verification, secure data transmission, a Marketplace for ML Models, enabling third-party contributions to expand detection capabilities, and real time tracking, addressing enforcement challenges in areas with limited infrastructure.
Keywords: Machine Learning,DevOps,Traffic Violation,Violation Detection,Computer Vision
Tools: React,Python,Firebase,Grafana,Docker,Kubernetes,weights and biases,mlflow
Department: Department of Computer Science
Tools: React,Python,Firebase,Grafana,Docker,Kubernetes,weights and biases,mlflow
Department: Department of Computer Science
Project Poster
