Advanced AI Face Swap & Voice Changer Software
Budget: $1,500 – $3,000 USD
I am looking for an experienced AI developer to build a real-time AI face swap and voice changer software similar to DeepFaceLive but with more advanced features. The software must run efficiently on an NVIDIA RTX 5070 Ti with low-latency GPU acceleration.
Key Features:
Real-Time AI Face Swap – High-quality face swaps with seamless skin tone, lighting, and expression matching.
Real-Time AI Voice Changer – Converts voice (male-to-female, female-to-male, age variations, etc.).
Face Library & Easy Switching – Users can upload multiple faces and switch in real time.
Video Call Compatibility – Works with WhatsApp, Telegram, Zoom, etc. via a virtual camera output.
Expression Tracking – AI must detect and match real facial expressions.
GPU Acceleration – Optimized for RTX 5070 Ti for high performance.
AI Background Replacement (Optional) – Ability to swap backgrounds in real time.
Quality vs. Performance Modes – Users can choose between high-quality mode or low-latency mode.
Requirements:
Expertise in Deep Learning, AI, and Face Swap models (e.g., DeepFaceLab, FaceFusion, or similar).
Experience with Python, TensorFlow/PyTorch, OpenCV for real-time processing.
Knowledge of virtual camera drivers for seamless video call integration.
Ability to optimize software for real-time performance using GPU acceleration.
Budget: Open for discussion based on experience and project scope.
Please include examples of similar AI face swap or voice projects you’ve worked on.
Key Features:
Real-Time AI Face Swap – High-quality face swaps with seamless skin tone, lighting, and expression matching.
Real-Time AI Voice Changer – Converts voice (male-to-female, female-to-male, age variations, etc.).
Face Library & Easy Switching – Users can upload multiple faces and switch in real time.
Video Call Compatibility – Works with WhatsApp, Telegram, Zoom, etc. via a virtual camera output.
Expression Tracking – AI must detect and match real facial expressions.
GPU Acceleration – Optimized for RTX 5070 Ti for high performance.
AI Background Replacement (Optional) – Ability to swap backgrounds in real time.
Quality vs. Performance Modes – Users can choose between high-quality mode or low-latency mode.
Requirements:
Expertise in Deep Learning, AI, and Face Swap models (e.g., DeepFaceLab, FaceFusion, or similar).
Experience with Python, TensorFlow/PyTorch, OpenCV for real-time processing.
Knowledge of virtual camera drivers for seamless video call integration.
Ability to optimize software for real-time performance using GPU acceleration.
Budget: Open for discussion based on experience and project scope.
Please include examples of similar AI face swap or voice projects you’ve worked on.