In this rapidly evolving world, the ideology intelligent transportation systems appear as a highly beneficial technology for future and its utilization creates a requirement of advance technology to enhance compliance with traffic regulations. The versatility of YOLO v8 gives our study a completeness in field of license plate detection, high-resolution image generation and recognition details of the car from no. plates. Any on-road vehicle with expired documents, without license violate the traffic rules as a result the driver has to pay fine or bribe and this becomes an ongoing issue. Leveraging machine learning along with our AFG (Automatic Fine Generation) model enables the enhancement of safety measures with better solution. Our research aims to develop a robust system competent in detecting number plates and recognizing vehicle and filtering those vehicles without papers under any condition. It is also beneficial for preventing the bribery problem by automating the fine generation process and exposing the officers responsible for taking bribes it is focused to reduce the corruption in our country to some extent by ending the intervention of traffic police. Such system can be used widely for the authorities for effective monitoring and traffic management.