The problem: Too many channels to monitor
Due to cases of illegal expenditure of public money for political promotion, there is a need to supervise the financial processes to detect any instances of splurging.
There are almost 100 types of information sources connected to the spending of public money, e.g., news, contracts, and others. Checking local governments and ministries’ websites, local newspapers, radio and TV programs, and official social media accounts manually requires many work hours.
It occurs not only for flagging the direct appearance of exact words or faces that indicate unwanted promotion at the taxpayers’ expenses to be checked but also for detecting red flags in other areas, such as suspicious contract activities. The volumes of data for supervision grow exponentially during elections.
In order to improve efficiency, MindTitan is developing an AI to detect illegal usage of public money to promote political individuals or parties. The main part of the solution is natural language processing models that will sift names, promises, and sentiment context, alongside the image analysis model, spotting spikes in publicity appearance frequency.