Worked on advancing SatyaAI, a multimodal deepfake detection system designed to identify fake images, videos, and audio using AI-based forensic analysis.
Improved the system’s detection pipeline by integrating facial analysis, frame extraction, and audio pattern recognition. Enhanced backend processing for handling multiple media types efficiently and ensured smoother communication between frontend (Gradio UI) and backend (FastAPI services).
Focused on testing real-time detection workflows, where users can upload media and receive authenticity results with confidence scores. Also refined the system’s output visualization to make results more understandable (e.g., detection labels and analysis feedback).
This work strengthens SatyaAI’s ability to combat misinformation and digital fraud, addressing the growing threat of deepfake content in today’s digital ecosystem.
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