Contact person: Real-Time Video Upscaler

Phone:Show

Email:Show

Location: Naogaon, Bangladesh

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m looking for an AI-powered workflow that can take my old SD home-video files and play them back in real time on my television at full HD (or better) quality. The goal is strictly personal: I want to sit down with family, press play, and enjoy noticeably sharper, cleaner footage without long pre-render waits or visible artifacts.

Here’s what I have in mind:

• A software stack—whether built around Real-ESRGAN, Topaz, or a custom PyTorch / TensorFlow model—that accepts common SD formats (DV-AVI, MPEG-2, old MP4) and upscales on the fly to 1080p or 4K.
• Hardware acceleration is essential. My PC is equipped with an NVIDIA RTX-series GPU, so CUDA/Vulkan or TensorRT support will likely be the fastest path, but I’m open to your suggestion if it keeps playback smooth at 25–30 fps.
• A lightweight UI or command-line script that lets me browse a folder, hit play, and output directly over HDMI to my TV. FFmpeg integration for decoding/encoding is fine as long as latency stays under a second.

Acceptance criteria
1. A working demo on one sample clip, streamed in real time to my TV at 1080p+ without dropped frames.
2. Clear setup instructions (driver versions, dependencies, one-click installer or Dockerfile).
3. Source code delivered so I can tweak or retrain later if I wish.

If you’ve built or optimized similar upscaling solutions, especially anything that runs smoothly on consumer GPUs, I’d love to see it in action." (client-provided description)