• Yaramolu Poorna Pranathi Chowdary
• Gudiwaka Vijayalakshmi

Preventing crime is a crucial responsibility because it is one of the most important and significant society challenges The prevention of crimes is another key challenge for law enforcement authorities It is necessary to create a system that detects crime in order to resolve this and make our society a society without crime analyzing and identifying crime rates is one of the scientific methods used today to lessen illegal activity worldwide Crime doesn't occur everywhere, it has certain patterns. There are a few things that contribute to crime occurring there, like how remote the area is from the city, which typically has a higher crime rate It is possible to reduce crime by forbidding travel to those regions Finding the location's safety percentage is necessary to determine which location is the safest to visit Machine learning methods can be used to achieve this The development of a model for determining the area's security rating involved the use of AI techniques Fuzzy c-means clustering and k-means clustering were employed as clustering algorithms to solve this problem. Using the offending dataset, tests were conducted using a variety of clustering algorithms, and it was discovered that FCM produces better outcomes Exploratory results demonstrate that fluffy c-implies grouping produces results that are 38% more exact than k-implies bunching In order to assess the location's safety percentage, it is therefore highly useful and also more accurate to utilize a machine learning technique called fuzzy c-means clustering.

Crime detection, Clustering, Fuzzy-c-means clustering, Safety Percentage, Preventing crime, Society challenges, Law enforcement authorities, Detecting crime, Crime rates, Scientific methods

"ENHANCING LOCATION SAFETY PERCENTAGE THROUGH CRIME SPOT DETECTION USING FCM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f627-f634, March-2023, Available :http://www.jetir.org/papers/JETIR2303582.pdf

"ENHANCING LOCATION SAFETY PERCENTAGE THROUGH CRIME SPOT DETECTION USING FCM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf627-f634, March-2023, Available at : http://www.jetir.org/papers/JETIR2303582.pdf