I’m looking for a practical AI solution that takes raw outdoor footage and automatically balances its colors so skies stay natural, foliage keeps its vibrancy, and skin tones remain realistic from shot to shot. Key needs • One-click color balance: the model should analyse each frame (or shot) and correct exposure, white balance, and overall tone with no manual grading. • Outdoor-aware logic: daylight shifts, mixed weather, and high-contrast scenes are the main challenges I want the algorithm to tackle reliably. • Consistent results across clips: when several takes are spliced together, the tool must match visual tone so the final edit feels seamless. Deliverables • A working prototype (Python, DaVinci Resolve plug-in, or similar) with clear install/run instructions. • Source code and any training scripts or weights. • A brief README outlining the underlying method, dependencies, and how I can fine-tune it on future footage. I’ll provide sample outdoor clips for validation and expect the corrected versions returned for comparison. A short screen-capture demo of the tool processing at least one of these clips will complete the hand-off.