Project Description :
The procedures of getting legal claim is known by the long period of time. Lawyers need time in finding past cases in order to refer to it in debating for a case. The process to retrieve the similar cases is time-consuming and to map the past similar cases to get the best claim is also tricky. This project is started to help the lawyers in their work to speed up the process of claiming for compensation in an accident case. Hence, it can help those who need and worthy of the compensated money. Legal Advisor of Accident Cases Using CBR is build based on few objectives which is, to identify features of past cases that has the similarity of facts to the current case, to design an intelligent system to assist lawyers in injury claim cases and to develop a prototype of the system that can be used by lawyers to get settlement faster. The data for this project is collected by interviewing the expert who is a lawyer that owns a law firm. Techniques that is used in this project is the case-based reasoning. The case-based reasoning is used because it can learn from the previous cases that have occurred before. The results show that this project is delivering a good performance, with the efficiency rate of 75%. This project has a bright future if it can be extended in covering all area of legal claims.
Research/Project Team :
- Nurzeatul Hamimah Abdul Hamid ( Project Leader )
- Shuhaizan Sulaiman
Contact Person :
Nurzeatul Hamimah Abdul Hamid ( nurzeatul@tmsk.uitm.edu,my )