backend/app/ai/feature_extractor.py

from app.ai.frequency_detector import frequency_score
from app.ai.cnn_detector import cnn_artifact_score
from app.ai.ela_detector import generate_ela_score

def extract_features(filepath: str) -> dict:
    freq = frequency_score(filepath)
    cnn = cnn_artifact_score(filepath)
    ela = generate_ela_score(filepath)

    combined_synthetic_score = (cnn * 0.4) + (ela * 0.6)

    return {
        "frequency_score": freq,
        "cnn_score": combined_synthetic_score,
        "edge_variance": 0.0,
        "noise_entropy": 0.0
    }