Revanth Kaki
Final-year Computer Science student specializing in AI
Summary
Work
Education
Projects
Writing
Final Report | A Hybrid Approach to Deepfake Detection using Vision Transformers and Frequency Domain Analysis with Explainable AI Insights
May 1, 2024Project report documenting a two-stream ViT+DCT hybrid model for deepfake detection, XAI analyses (ViT attention maps, Integrated Gradients), and quantitative results (86% accuracy, AUC 0.9305).
Final Project PDF | Multi-Modal Deepfake Detection Using SSL Audio Embeddings and ViT–DCT Video Feature Fusion
May 1, 2024Major project report describing a multi-modal framework that combines video (ViT+DCT) and audio (LFCC, SSL embeddings) streams for deepfake detection, with XAI explanations and benchmark results.
Project4 Final Merged | Multi-Modal Deepfake Detection Using SSL Audio Embeddings and ViT-DCT Video Feature Fusion
May 1, 2024Merged project document summarizing the multi-modal detection approach, experimental setup, results, and explainability visualizations; lists contributors including Revanth Kaki.
Hobbies
Contributes photography/visual content as a Shutterstock contributor. shutterstock
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