TruthCheck: AI-Based Fake Media Detection System

The rapid growth of digital platforms has led to an increase in the spread of fake and manipulated media content across various formats such as text, images, videos, and audio. Identifying such misleading information has become a challenging task due to the advancement of artificial intelligence techniques that generate highly realistic fake content.This paper presents TruthCheck, a multi-modal fake media detection system designed to analyze and classify different types of digital content within a unified framework. The system utilizes machine learning and deep learning models to process input data through stages such as preprocessing, feature extraction, and classification. Each media type is handled using dedicated modules to ensure effective detection.The proposed system provides outputs in the form of truth score, fake score, and confidence level, improving transparency and user understanding. The use of lightweight models ensures efficient performance on standard computing environments. The results demonstrate that the system is capable of accurately detecting fake content across multiple media formats, making it suitable for real-world applications.