As the utilization of roadways increases, the probability of accidents happening also increases. So to overcome this, Uturn paths were created in place of signals. So, waiting on the signal was totally avoided, eliminating pollution in traffic signal areas. The design and development of manual and voice-assisted U-turn indicators for automobiles are discussed in this paper. The design of this system requires the development of a new circuit to accommodate the voice control system for the indicators using Google Nest Mini and the button operated, which is controlled by a MQTT app in a tab with Wi-Fi connectivity. These devices are connected to the power supply unit to charge them through USB connectors, and the NodeMCU is used for the controlling of the whole system and responsible for the displaying of the indicator signs on the 16x16 LED wall placed on the vehicle. There are conventional indicators also present in the vehicle, along with the newly developed voice-controlled and button operated MQTT app, which will control the left and right turn indicators and the left and right U-turn indicators when a specific voice command is given to the microcontroller through Google Nest Mini. By using this technology, people can reduce the lack of communication during the U-turn and control the indicator, which is a hands-free operation. Placing this technology on the vehicle will increase the safety of the automobile and reduce the risk of accidents. This system allows people to control the voice-assisted control system and an integrated dashboard control system to control the U-turn indicators and the normal indicators with ease.