You will get AI-powered virtual try-on system for clothing and fashion apps
Project details
You will get a cutting-edge AI-powered virtual try-on system that allows users to preview clothing on themselves using just an image. Virtual Vogue uses advanced computer vision, pose estimation, and image segmentation to realistically overlay outfits — making it perfect for e-commerce fashion stores, style apps, or digital wardrobe experiences.
With over 5 years of experience in AI and a Bachelor's degree in Artificial Intelligence, I deliver production-ready code with clean architecture, user-friendly interfaces, and full documentation. Whether you need a demo prototype, a full deployment, or integration into your app, I tailor the solution to your business needs.
The work I deliver is 100% original, scalable, and optimized for real-world usage.
With over 5 years of experience in AI and a Bachelor's degree in Artificial Intelligence, I deliver production-ready code with clean architecture, user-friendly interfaces, and full documentation. Whether you need a demo prototype, a full deployment, or integration into your app, I tailor the solution to your business needs.
The work I deliver is 100% original, scalable, and optimized for real-world usage.
AI Algorithms
Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Recurrent Neural Network, StyleGAN, Transformer Model, Variational AutoencoderAI Applications
AI Content Creation, AI-Generated Art, Conversational AI, Facial Recognition, Image Processing, Image Recognition, Image-to-Image Translation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Jasper AI, Microsoft CNTK, PyTorch, Streamlit, TensorFlowAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-4, GPT-Neo, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, Stable DiffusionWhat's included
| Service Tiers |
Starter
$200
|
Standard
$700
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 3 | 10 | 15 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $100Frequently asked questions
About Muhammad Salman
AI & ML Engineer | Full-Stack Model Development & Deployment
Islamabad, Pakistan - 3:24 pm local time
I’m a Machine Learning & AI Engineer with a Bachelor's degree in Artificial Intelligence and over 5 years of hands-on experience. I specialize in developing intelligent systems — from clean data pipelines to fully deployed AI applications used in real-world environments.
WHAT I DO
I build and deploy scalable ML models, LLM workflows, APIs, and user-facing dashboards. I’ve worked across computer vision, NLP, generative AI, predictive analytics, and full-stack automation.
TOOLS & FRAMEWORKS
Python, PyTorch, TensorFlow, Keras, scikit-learn, FastAPI, Flask, LangChain, Hugging Face Transformers, CrewAI, DeepFace, OpenCV, XGBoost, LightGBM, Pandas, NumPy, DVC, Weights & Biases, Streamlit, Gradio, Dash, Plotly, Seaborn, Matplotlib, MongoDB, PostgreSQL, Firebase, Git, GitHub, GitLab, Railway, Hugging Face Spaces, Docker, REST APIs, OpenAI APIs, ChromaDB, FAISS, AutoGen, Vercel, Render
PROJECT HIGHLIGHTS
LocateMate: AI-powered lost and found system using NLP, computer vision, and Stable Diffusion
Virtual Vogue: Virtual try-on platform using computer vision, pose estimation, and image synthesis
Multi-Agent Chatbots: Custom LLM agents using LangChain, CrewAI, and vector databases
Forecasting Engine: XGBoost-powered sales predictor with Streamlit-based analytics UI
Face Matching: Real-time matching system using DeepFace and TensorFlow
RAG Search Assistant: GPT-powered QA bot for internal document search and summarization
DELIVERY STYLE
You can expect clean, modular code with full documentation, version control, and clear deployment instructions. I work fast, communicate clearly, and deliver scalable solutions you can trust in production.
Let’s connect and bring your AI vision to life.
📩 Message me to get started. Let’s build something intelligent.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Salman can start the project.
Delivery time starts when Muhammad Salman receives requirements from you.
Muhammad Salman works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
I’ll review the client’s images, use case, and system goals to finalize model type and architecture.
Model Integration & Testing
Develop and test the virtual try-on pipeline using pose estimation, image segmentation, and outfit overlay.