Kind of development: New program from scratch
Num. of modules: 2
Description of every module: I am planning to design a system which can analyze in coming transactions done by customer and based on that decide whether customer is authentic and legitimate transaction. After doing login to authentication server incoming transaction of customer is given to analytical server which will decide whether transaction is legitimate or abnormal. Based on feedback of of analytical server, Authentication server will step up authentication process to find authenticity of customer and will either block the customer or will allow the customer to perform transaction.
Description of requirements/functionality: Should implement machine learning algorithms of fraud detection
OS requirements: Windows, Linux
Suraj P.0% (0)
Suraj's other projects
Create an account now and send a proposal now to get this project.Sign up
Clarification Board Ask a Question
Hope you are doing well. Can you please confirm on below points:
1) Do we have the raw data to train our model. Out of experience, generally frauds are < 0.05 % of transactions i.e. less than 500 in a million. Do we have the required data
2) How are the real-time transactions flowing to the analytical server. The intention is to know the expected TAT from analytical server
Thanks & Regards,
Zhe ConsultingSuraj P.06 Jul 2017
i dont have raw data, i can search for it. I have some research paper which have given link to dataset. But I just want to implement machine learning technuque to build model. let if u can implement such ML techniques.