Secured Automated Complaint Generation System for Organizations

In our society, complaint systems are all done manually by humans and there are no automated system wherein the complaints are identified and sent to the respective authority all by itself. A complaint about our day to day activities based on the images can be identified and given as a report. This reduces lot of manual time and may speedup the remedial process. In this system, the users need to upload an image which will be analyzed and classified based on remedial departments. Thus the amount of manual work both on the user and the organization is minimized by feasibly producing an automated system that can generate a report about the problem without human intervention during the process. Based on the institutional requirements, the complaints are classified as website-based and object-based using an image classification system. The web-related complaints are handled by optical character recognition and the object-based complaints are handled by object detection and data mining techniques. The images are trained and tested through various classification system and their performances are compared. The user is also provided with a feature of adding location along with the complaint image which makes less complication in finding the place of fault and based on which a report is generated and forwarded to corresponding department. Thus, this paper aims in proposing an automated complaint generation and reporting system for Institutions by classifying user input images using image processing and data mining techniques.