Deepfake Detection System Using LSTM and ResNet Architectures

Designed and implemented the core machine learning model for a Deepfake Detection System, utilizing ResNet for feature extraction and LSTM for video classification. Also developed the frontend interface using HTML and CSS, ensuring a user-friendly experience for real-time detection. Ranked 23rd among 180+ teams in HackHeritage24.