Repeat Crime Prediction for CriminalsPublic Sector & Government Authorities
- Judicial authority is the cornerstone of any legal system, representing the power vested in courts to interpret and apply the law. It encompasses the ability of courts to hear and resolve disputes, adjudicate legal matters, and ensure justice is served. For most individuals probability of future crime is low but certain individuals are have high probabilities of repeated crimes. To provide porper judgement judge needs to examine various factors such as Crime type,past recordsand other as well.
The client, a judicial authority in a GCC country, aimed to increase awareness for judges during hearings by predicting the likelihood of repeat crimes for criminals.
Challenges:
Our team collaborated with the client to design and implement a model, addressing these challenges effectively:
-
Identify the key factors and correlations.
-
Develop a Predictive scoring model using following:
-
-
- Crime scene details
- Criminal demography
- Criminal records
- Criminal family history
-
The implemented solution allows real-time scoring to judge during the hearing:
-
Predictive Model Development:
Developed a predictive model to forecast the likelihood of repeat crimes based on the provided historical data.
-
Integration for Real-Time Scoring:
Integrated the predictive model to generate scheduled scoring at the end of the day.
-
Easy Access for Judges:
Judges can now view the risk scores with a simple click during hearings.
Our proof of concept on health and safety analytics provides the client with valuable insights and tools to enhance workplace safety.
Key benefits:
-
Increased Awareness:
Judges are now better informed about the likelihood of repeat crimes for criminals, enabling them to consider critical factors during hearings.
-
Improved Decision-Making:
Access to real-time risk scores empowers judges to make more informed decisions about sentencing and probation.
-
Efficient Use of Resources:
By identifying high-risk individuals, the judicial authority can allocate resources more effectively for rehabilitation and monitoring programs.N