SatyaDrishti : Fake Complaint Detection Using Computer Vision

V Manjula1, Ravi Chandra K2, Nikhil N Hegde3 , P Gowtham4, Raghu J5
1Assistant Professor,Department of CSE, K S Institute of Technology, Bengaluru , India 2Student , Department of CSE, , K S Institute of Technology, Bengaluru , India 3Student , Department of CSE , K S Institute of Technology, Bengaluru , India 4Student , Department of CSE , K S Institute of Technology, Bengaluru , India 5Student , Department of CSE , K S Institute of Technology, Bengaluru , India

Abstract - The rapid growth of digital complaint platforms has simplified the process of submitting grievances in sectors such as government services, insurance, banking, and e-commerce. However, the increasing use of online systems has also resulted in a rise in fake complaints supported by manipulated or unrelated image evidence. Such complaints create financial losses, increase verification workload, and delay the processing of genuine cases. This paper proposes a Fake Complaint Detection System using Computer Vision and Deep Learning techniques to automatically identify fake complaint evidence. The system uses image preprocessing, feature extraction, and Convolutional Neural Networks (CNN) to analyze uploaded complaint images and classify them as genuine or fake. The proposed model helps improve verification accuracy while reducing manual effort. Experimental results demonstrate that the system performs effectively in identifying manipulated complaint images and can be implemented in real-world complaint management .Keywords: Fake Complaint Detection, Computer Vision, CNN, Deep Learning, Image Processing, Artificial Intelligence, Complaint Verification.