Technology Stack:
Python
OpenCV
TensorFlow / PyTorch
GANs
FFmpeg
Problem Statement:
Manual editing is time-consuming, costly, and maintaining consistent quality is challenging.
AI Component:
Generative AI models for morphing, style transfer, facial enhancement, and video frame interpolation.
Solution Summary:
AI-driven morphing, style transfer, and enhancement tools to automate editing for photo/video studios.
Impact:
Reduces studio editing time and costs, improves creativity, enhances global client satisfaction.
| ImageID | ClientName | Resolution | FaceDetected | LightingScore | RequestedEffect |
|---|---|---|---|---|---|
| IMG_001 | Rohan Sharma | 1920x1080 | Yes | 78% | Age Progression |
| IMG_002 | Aarti Studio | 1080x1080 | Yes | 84% | Face Swap |
| IMG_003 | Mona Photos | 4096x2160 | No | 66% | Color Enhancement |
| IMG_004 | Classic Portraits | 2560x1440 | Yes | 92% | Beauty Retouch |
| IMG_005 | Sunrise Studio | 3840x2160 | Yes | 59% | Caricature GAN |
| OutputID | ImageID | EffectApplied | ProcessingTime (sec) | GAN Model | QualityScore |
|---|---|---|---|---|---|
| OUT_001 | IMG_001 | Age Progression (20 yrs) | 14.2 | StyleGAN3 | 95% |
| OUT_002 | IMG_002 | Face Swap | 10.4 | DeepSwap GAN | 93% |
| OUT_003 | IMG_003 | HDR Color Boost | 6.2 | ColorGAN | 89% |
| OUT_004 | IMG_004 | Beauty Retouch | 8.9 | FaceRetouch GAN | 98% |
| OUT_005 | IMG_005 | Caricature | 12.7 | ToonGAN | 92% |
| VideoID | ClientName | Duration | FPS Before | FPS After (Interpolated) | EffectApplied |
|---|---|---|---|---|---|
| VID_001 | Wedding Memories | 2m 14s | 24 | 60 | Smooth Slow-Motion (RIFE Model) |
| VID_002 | Ravi Studio | 1m 30s | 30 | 120 | Frame Enhancement GAN |
| VID_003 | FilmWorks | 3m 12s | 24 | 48 | Color Style Transfer Video |
| VID_004 | Elite Portraits | 42s | 30 | 60 | Face Refinement Video |
| VID_005 | Mystic Frames | 1m 18s | 25 | 90 | Animation Style Transfer |