Jaipur, Rajasthan, India
Summary
As a Research Intern, Anom Chakma developed and refined advanced deep learning models for robust fake video detection and temporal sequence analysis.
Highlights
Engineered a deep learning model utilizing Res-Next Convolutional Neural Network architecture for advanced fake video detection, significantly improving the identification of manipulated video content.
Enhanced video inconsistency detection by implementing Long Short-Term Memory (LSTM) networks, leading to more robust analysis of temporal sequences across frames.
Achieved enhanced model accuracy and robustness in identifying manipulated content through extensive training on a diverse dataset, integrating OpenCV for efficient image processing tasks.