Drunk driving is the condition of driving under the usage of alcohol. A small increase in the blood alcohol level increases the relative risk of a motor vehicle accidents leading to severe injuries and sometimes death. Hence the legislator has set acceptable blood limits for drivers and overruling will lead to legal sentences. Blood Alcohol Content (BAC) is the measure used to check drunken driving. However, this method remains tough to be used due to the huge equipment and maintenance cost. The alcohol detector used in this project consists of MQ3 gas sensor and IoT based NODEMCU. This sensor attached to the steering will sense alcohol content through driver’s breathing. The status of driver along with the location map link will be sent to enrolled phone numbers. FIREBASE and THINGSPEAK features are used to achieve this task. Hence an efficient and cost effective alcohol detection method is implemented in this project.

Major reports are saying that many children were dead due to the unclosed bore wells. The rescue process cannot be handled smoothly because the environment inside the bore well cannot be predicted by easy means. A less expensive robot can be developed with simple mechanisms for controlling will simplify the rescue process. A movable robot capable of adjusting to the bore well dimensions is constructed. The robot has two arms that can be adjusted to rescue the child with the support of camera also aiding in the survival of the baby. Some additional features are also introduced to enhance and ease the comfort of the rescue operation. A compressor is used to fill an air bag that is implemented in this robot to make the rescue operation easy and be comfortable to lift the victim safely. The gas and temperature inside the bore well can be measured using gas sensor and temperature sensor respectively.

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