Bail Reckoner
Authors:-Kutala Pravalika, Korimi Praveen
Abstract-The subjectivity and complexity of bail determinations in criminal justice systems have for a long time presented difficulties to fairness and consistency. In this paper, we suggest a software solution named Bail Reckoner that helps assess bail eligibility with the use of machine learning methodologies. Through processing of historical court data and determining useful features such as offense category, previous offenses, and socio-economic factors, the system produces a probabilistic bail outcome suggestion. Our method is designed to assist judges and legal practitioners by increasing transparency and minimizing bias. The system is tested using simulated legal datasets and shows encouraging accuracy in matching with real judicial decisions.
