Real-Time Video Filter Developer
Budget: $1,500 – $3,000 USD
I'm in need of a talented developer to create an innovative real-time video filter. This filter will transform a user's facial features and upper body to resemble another individual during live video feeds and pre-recorded clips.
Key Requirements:
- The filter should be compatible with mobile apps (iOS and Android) as well as desktop applications
- The transformation should cover facial features and the upper body (chest and up)
- Utilize Augmented Reality (AR) tools for facial recognition
Ideal Skills and Experience:
- Proficiency in developing video filters and AR applications
- Strong understanding of facial recognition technology
- Experience in creating seamless filters for both live and recorded videos
- Prior work on mobile and desktop applications will be an advantage.
esponsibilities:
Design and implement real-time face tracking and transformation.
Develop realistic overlays that mimic facial features, expressions, and movements.
Integrate the solution into live video platforms (e.g., Zoom, YouTube Live) or create a standalone application.
Ensure low-latency, high-performance operation on desktop and mobile devices.
Requirements:
Expertise in AR development (e.g., Spark AR, Snap Lens Studio, Banuba SDK).
Experience with AI technologies (e.g., GANs, deepfake models, MediaPipe FaceMesh).
Strong programming skills (Python, C++, or JavaScript).
Portfolio showcasing relevant AR or AI projects.
Preferred:
Familiarity with deepfake tools (e.g., DeepFaceLab) or custom face filters.
Knowledge of 3D modeling for realistic feature overlays.
Key Requirements:
- The filter should be compatible with mobile apps (iOS and Android) as well as desktop applications
- The transformation should cover facial features and the upper body (chest and up)
- Utilize Augmented Reality (AR) tools for facial recognition
Ideal Skills and Experience:
- Proficiency in developing video filters and AR applications
- Strong understanding of facial recognition technology
- Experience in creating seamless filters for both live and recorded videos
- Prior work on mobile and desktop applications will be an advantage.
esponsibilities:
Design and implement real-time face tracking and transformation.
Develop realistic overlays that mimic facial features, expressions, and movements.
Integrate the solution into live video platforms (e.g., Zoom, YouTube Live) or create a standalone application.
Ensure low-latency, high-performance operation on desktop and mobile devices.
Requirements:
Expertise in AR development (e.g., Spark AR, Snap Lens Studio, Banuba SDK).
Experience with AI technologies (e.g., GANs, deepfake models, MediaPipe FaceMesh).
Strong programming skills (Python, C++, or JavaScript).
Portfolio showcasing relevant AR or AI projects.
Preferred:
Familiarity with deepfake tools (e.g., DeepFaceLab) or custom face filters.
Knowledge of 3D modeling for realistic feature overlays.