GAN-Based Video Upscaling API for Low-Bandwidth Streaming

I'm looking for a talented developer to create a Generative Adversarial Network (GAN)-based Video Upscaling API. This solution is aimed at improving the video quality on popular video conferencing platforms under low-bandwidth conditions.

Key Requirements:
- Real-time enhancement of low-resolution video streams.
- Prioritization of low-bandwidth efficiency while maintaining HD video quality.
- Prevention of flickering and visual artifacts across sequential video frames.
- Design of a robust API for seamless integration with video conferencing systems.

Ideal Skills:
- Extensive experience in developing and deploying APIs.
- Proficiency in Generative Adversarial Networks (GANs).
- Familiarity with video conferencing platforms like Zoom, Google Meet, or WebRTC.
- Strong understanding of bandwidth optimization techniques and video quality enhancement.

You don't need to worry about which specific video conferencing platforms to integrate with right now. The primary focus of this API will be reducing bandwidth consumption, while also ensuring a good video quality and temporal consistency. Most users are expected to access this service from a desktop.