AI Generated Image Detection Tool

AI Generated Image Detection Tool

Shivam Durgude3, Swarali Patil2, Priyanka Pawar3, Neha Shinde4

1Shivam Durgude, 2Swarali Patil, 3Priyanka Pawar, 4Neha Shinde, 5Prof. Deepali Suryawanshi

1, 2, 3, 4 UG Student, Batchelor of Computer Engineering, MET’S, BKC, IOE Nasik, India.

5Assistant Professor, Department of Computer Engineering, MET’S, BKC, IOE, Nasik, India.

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Abstract - In the era of rapidly advancing artificial intelligence, there is a growing need for a reliable and efficient tool to discern between human-generated and AI-generated images. Existing methods often lack accuracy and real-time processing capabilities, hindering their applicability in various domains. This project addresses the challenge of developing a robust image analysis tool using advanced neural networks to accurately identify whether an image is AI-generated or created by human hands. Our approach involves leveraging the power of deep learning techniques, specifically Convolutional Neural Networks (CNNs), to analyze images and determine whether they are AI-generated or not. The process encompasses several essential steps, including data preprocessing, neural network architecture selection, model training, and rigorous evaluation. Through this project, we aim to contribute to the field of image analysis by providing a robust tool for detecting AI-generated images. Key aspects of our methodology include data preparation, CNN implementation, and rigorous validation techniques, ensuring the tool’s accuracy and reliability.

Key Words: Convolutional Neural Networks, AI-generated Images