NEURAL MIRROR: AI-POWERED DEEPFAKE DETECTION

Authors

  • Bhosale Om Santosh Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Dolle Akhilish Banasiddha Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Kadganchi Manas Nagesh Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Gambhire Kshitij Vinod Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Mhamane Shivraj Vishwanath Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Nagesh Anand Goden Lecturer, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India

Keywords:

Deepfake detection, AI-generated faces, synthetic media analysis, neural networks, real-time image verification, facial image authenticity, visual artifacts, deep learning, digital forensics, media integrity

Abstract

In an era where artificial intelligence can replicate human likeness with alarming precision, the ability to distinguish authentic images from synthetically generated ones has become critically important. This paper introduces Neural Mirror, an AI-powered deepfake detection system designed to identify manipulated or AI-generated facial images with high accuracy. Leveraging a custom-trained deep learning model, Neural Mirror focuses on detecting subtle visual artifacts and inconsistencies commonly present in synthetic media. The system analyses facial textures, lighting mismatches, and structural irregularities that often escape the human eye, yet are detectable through deep neural pattern recognition. A user-friendly frontend powered by modern web technologies, including React, TypeScript, and Tailwind CSS, ensures real-time interaction and instant feedback. Neural Mirror aims to serve as a proactive tool in the fight against digital misinformation, enhancing trust in visual media and supporting ethical AI deployment.

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Published

2025-04-25

How to Cite

Bhosale Om Santosh, Dolle Akhilish Banasiddha, Kadganchi Manas Nagesh, Gambhire Kshitij Vinod, Mhamane Shivraj Vishwanath, & Nagesh Anand Goden. (2025). NEURAL MIRROR: AI-POWERED DEEPFAKE DETECTION. JournalNX - A Multidisciplinary Peer Reviewed Journal, 11(4), 62–70. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/5550

Issue

Vol. 11 No. 4 (2025): Journalnx

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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