• Vikramsingh Rathod
• Nainam Shah
• Sarika Davare

Road accidents have earned India a dubious distinction. With over 130,000 deaths annually, the country has overtaken China and now has the worst road traffic accident rate worldwide. Most of the road users are well aware of the general rules and safety measures while using roads but it is only the laxity on part of road users, which cause these accidents and crashes. Research shows the common causes of accidents on the road are driving under Influence (DUI), lack of alertness, reckless driving, distractions etc. This paper aims to alleviate some of these issues by proposing a system that aims to prevent and detect vehicular accidents, while providing analytics on the same. The proposed system tests the presence of alcohol in the drivers’ breath and if detected over the limit, the driver is warned to stop and authorities are informed thereby preventing a potential accident.

Accident Detection, Accident Prevention, Machine Learning, Accident Analytics, Arduino

"Accident Prevention, Detection and Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.e392-e396, October-2022, Available :http://www.jetir.org/papers/JETIR2210457.pdf

"Accident Prevention, Detection and Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppe392-e396, October-2022, Available at : http://www.jetir.org/papers/JETIR2210457.pdf