Project Overview
I’m building a platform that leverages AI to create 100% realistic, human-like avatars and voiceovers for use in educational content, podcasts, webinars, and internal company training. The goal is to replicate real employee voices and facial movements so accurately that the final output feels like a real person is presenting or speaking—no robotic voiceovers, no uncanny visuals. The final product should deliver audio and video content that is indistinguishable from real-life recordings. Realism is the top priority.
Clone real human voices (employees) using advanced AI TTS tools.
Create realistic talking head avatars that can be used in videos.
Allow users to input scripts and generate full video/audio content in minutes.
Support easy content publishing for e-learning, podcasts, and live simulations.
Work efficiently on the M4 Mac Mini or similar systems without performance issues.
Voice Cloning Engine
Ability to upload voice samples and clone voices with extreme realism.
Outputs should sound natural, emotional, and tonally accurate.
Support for multiple voices and accents.
Avatar Generation
AI avatars should mimic human gestures, lip-sync with the TTS output, and deliver on-screen presence similar to real humans.
The facial expressions should match the tone and emotion in the speech.
Script to Audio/Video Workflow
Simple interface where users can paste or upload a script.
The platform generates a full video with an avatar and voice automatically.
Device Optimization
The solution must run efficiently on newer Apple Silicon devices like the M4 Mac Mini—no lag or heavy dependencies.
Content Quality
Clear HD video output.
High-quality, studio-like audio output.
Full user control over speed, tone, pauses, and language where possible.
Strong knowledge of Artificial Intelligence (especially AI voice and face modeling)
Experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch)
Use of tools like
DeepSeek AI
ElevenLabs, Descript, or other TTS APIs
D-ID, Synthesia, HeyGen, or similar avatar technologies
Backend and API development using Python and PHP
Building efficient software architecture for cloud or local deployment
Relevant experience and examples of similar platforms you’ve worked on.
Your suggested tech stack or approach to building this.
Timeline and milestones based on the features listed.
Any AI tools, models, or APIs you recommend using?
Estimated total cost and whether you're available for ongoing support.
If you've worked on similar avatar/video generation or voice AI platforms, I’d love to see your demo or hear your suggestions. This project could lead to ongoing work as we scale the platform.
Hello, I’m excited about the opportunity to collaborate on this AI-powered platform for hyper-realistic avatars and voice cloning. I bring hands-on experience in building intelligent systems that integrate advanced TTS, deep learning frameworks, and avatar technologies for realistic content generation. My approach would involve leveraging proven tools like ElevenLabs or DeepSeek for emotional, accurate voice replication and D-ID or HeyGen for lifelike avatar generation. Using PyTorch and TensorFlow, I’ll ensure deep learning models are optimized for Apple Silicon devices like the M4 Mac Mini, delivering smooth, local performance without compromising on output quality. For the full script-to-video workflow, I’d recommend a modular architecture with a Python backend, a lightweight PHP or React interface, and clean API integrations. The final result will support multilingual voice cloning, emotional nuance, gesture syncing, and fast rendering of HD videos suitable for e-learning, training, and podcasts. I can share demos and walkthroughs of similar systems I’ve worked on, along with a detailed timeline and phased milestones for development. I’m available for long-term collaboration, updates, and scaling support as the platform grows.
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