DeceptiLens: Multimodal Deception Detection
Summary
Developed and deployed an end-to-end multimodal deception detection pipeline, integrating facial landmarks, audio descriptors, and deep visual embeddings for real-time inference using PyTorch, OpenCV, Librosa, MediaPipe, FastAPI, and Streamlit.