Fix false positives: recalibrate ELA/frequency, add error handling, update README

Fix ensemble false positive logic

fix: import error AutoImageProcessor in dual model setup

fix: reintroduce Swin model with MAX ensemble strategy for robust AI art detection

upgrade: switch to state of the art Deep-Fake-Detector-v2 model

fix: refactor deepfake ensemble, fix audio inversion bug, update video aggregation

fix: classification logic displaying high confidence for suspicious results

style: change linear spectrogram colormap to viridis for visual distinction

fix: generate linear spectrogram for audio_spectrogram instead of reusing mel-spectrogram

fix: change image detector to sequential execution to prevent OOM on HF free tier

fix: move model preloading to background thread to prevent event loop blocking

feat: Major accuracy upgrades (EfficientNet, DCT, Temporal, Dual Audio)

A+ Production Grade Performance, Concurrency, and Auth

perf: add background preloading of models at startup to fix cold start delay

Update api.py

Update api.py

Update detectors/image_detector.py

Update requirements.txt

Update detectors/image_detector.py

Update requirements.txt

Update Dockerfile

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Delete intrusion-se

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initial commit