You will get AI Avatars with Realistic Lip Sync and natural Voice Integration
Top Rated
Top Rated
Project details
Launch your own AI avatar platform—whether it's for virtual companions, education, or storytelling. I will build a fully custom, end-to-end system featuring multi-character avatars, real-time conversations, and lifelike lip sync powered by voice and language AI.
What You’ll Get:
• Seamless voice-to-avatar pipeline with real-time lip sync
• Natural language understanding with personality-driven dialogue
• Multi-avatar support with customizable roles and behaviors
• Optional admin dashboard for managing avatars and content
• REST API or front-end integration
• Deployment-ready codebase
What You’ll Get:
• Seamless voice-to-avatar pipeline with real-time lip sync
• Natural language understanding with personality-driven dialogue
• Multi-avatar support with customizable roles and behaviors
• Optional admin dashboard for managing avatars and content
• REST API or front-end integration
• Deployment-ready codebase
AI Algorithms
Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, StyleGAN, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Video, Automatic Speech Recognition, Conversational AI, Image Upscaling, Natural Language Generation, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
ChatGPT, DALL-E, LLaMA, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$3,500
|
Standard
$6,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | |||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | |||
Model Documentation | - | - | - |
Model Monitoring | - | ||
Model Testing & Optimization | |||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | - | - | |
Setup File | - | - | - |
Source Code |
65 reviews
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NL
Nathaniel L.
Sep 5, 2025
Senior AI developer
Great work! I'll contact you for next tasks in the future.
BK
Braum K.
Apr 14, 2025
Computer Vision consulting
What is there to say about Ahmer? Ahmer is one of the all time greatest colleagues I've ever had in my career. Not only is Ahmer creative, but he is brilliant, thorough, and a pleasure to work with. We have worked with Ahmer for several years, and each and every time we've worked together, he has gone so above and beyond. Ahmer is an amazing scientist, truly brilliant. He has the amazing ability to not only see the immediate problem, but to see several layers deep. Ahmer is absolutely one of my most trusted colleagues, and someone who I truly love to work with. If you have an opportunity to work with Ahmer, you absolutely should jump on it. A brilliant man, and a truly good person. A++++
NL
Nathaniel L.
Apr 14, 2025
Senior AI and ML Developer
Ahmer delivered good results, and I will use him for future tasks.
LS
Lincoln S.
Mar 22, 2025
Senior Product Manager - AI/ML Technologies
Amazing communication. Brilliant work. Fantastic freelancer. I highly recommend Ahmer.
JC
Javier C.
Sep 18, 2024
30 minute consultation
Great communication skills and solid knowledge in CV. Would consult with him again
About Muhammad Ahmer
AI Engineer | Computer Vision, Agentic RAG, MCP & Claude Systems
100%
Job Success
Lahore, Pakistan - 6:06 am local time
The common thread across 80+ production deployments is a single architectural principle: isolate the binding constraint before any model decision — HIPAA compliance in clinical pipelines, sub-second retrieval across 3M+ cinematic assets, compute efficiency at 2M+ API calls/year, and real-time edge inference. I own the full stack from data strategy through high-reliability maintenance. (Featured Upwork Executive Summit talent; fully async with strong EU/US ET overlap).
WHO I BUILD FOR
Technical founders and engineering leaders past the demo stage — building medical imaging pipelines, multimodal retrieval products, production RAG/agent systems, or mission-critical MCP/Claude integrations that must work reliably from day one.
COMPUTER VISION
• Shelfr (Founding AI Architect): Built SKU detection, planogram compliance, and OOS recognition from scratch. Scaled to 200+ FMCG brands including P&G (2025 P&G External Business Partner Excellence Award).
• Edwards Lifesciences: HIPAA-compliant clinical pipeline with custom U-Net for DICOM de-identification and echocardiogram analysis (85%+ PHI detection without losing clinical accuracy).
• Stack: YOLO v5–v11, YOLO-World, Grounding DINO, SAM 2, enterprise face anti-spoofing (90%+ accuracy vs replay/print/mask attacks).
AGENTIC RAG
• Shotdeck: Multimodal retrieval engine over 3M+ cinematic assets — sub-second queries via hybrid pgvector + HNSW on 100+ GPUs.
• Biscuit AI: Coordinator/subagent state machine (Claude Agent SDK patterns) with strict boundaries and human-in-the-loop checkpoints.
• Techniques: LangGraph/CrewAI, structured JSON context extractors, late-interaction retrieval (ColPali/ColBERT).
MCP (MODEL CONTEXT PROTOCOL)
• Custom MCP servers with LangChain adapters for secure, standardized tool access. Transport-agnostic (stdio, SSE, HTTP) with validation-retry loops and strict schema enforcement.
CLAUDE SYSTEMS
• Primary LLM for production agentic work (alongside GPT-4o, Llama 3, DeepSeek). Strong focus on dynamic Pydantic validation, reliable structured outputs, and short/long-term memory architectures.
TECHNICAL STACK
• LLMs & Frameworks: Claude, GPT-4o, Llama 3, DeepSeek, LangGraph, LangChain, CrewAI, Pydantic
• Vision & Healthcare: MONAI, DICOM, nnU-Net, MedSAM, OpenCV, ViT, Swin
• Infrastructure: MCP (Client/Server), pgvector/HNSW, Modal, AWS, GCP
Click Message or Invite to Job and tell me your bottleneck. I respond within 24 hours and most projects get a scoped production path within 48 hours.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Ahmer can start the project.
Delivery time starts when Muhammad Ahmer receives requirements from you.
Muhammad Ahmer works on your project following the steps below.
Revisions may occur after the delivery date.
Platform Planning & Architecture
Review your use case and feature list. Define architecture, tech stack, and output format (web/API).
Avatar Interaction Engine Setup
Implement core modules for voice input, language understanding, and response generation.