AI-Powered Virtual Try-On System
Rabiul Islam
👕 Virtual Try-On System using Computer Vision & AI
📌 Overview
This project is an AI-powered Virtual Try-On System that allows users to upload an image, select either the Upper Body or Lower Body, and digitally change clothing using Computer Vision, Body Segmentation, and AI Inpainting APIs.
The project was developed as part of a Computer Vision practical assignment and demonstrates the integration of image processing, segmentation, external AI APIs, and an interactive web interface.
✨ Features
Upload an image
Select Upper Body or Lower Body
Automatic body-part segmentation
AI-powered clothing replacement using Inpainting API
Interactive Gradio interface
End-to-end virtual try-on pipeline
🏗️ Project Pipeline
🛠️ Technologies Used
Python
OpenCV
NumPy
Pillow
Gradio
Hugging Face API / Segmind API
Computer Vision
Image Segmentation
AI Inpainting
📁 Project Structure
🚀 Installation
▶️ Run
or
📸 Sample Results
Input Image
(Add input image here)
Segmentation Mask
(Add segmentation image here)
Final Output
(Add generated output image here)
🎯 Future Improvements
Prompt-based clothing editing
Better segmentation accuracy
Multiple clothing styles
Faster inference
Mobile-friendly interface
FastAPI backend deployment
📚 Learning Outcomes
Image Processing
Computer Vision
Image Segmentation
AI API Integration
Virtual Try-On Pipeline
Gradio UI Development
👨💻 Author
Rabiul Islam
AI & Machine Learning Enthusiast
GitHub: https://github.com/rabiul9137
⭐ Support
If you found this project useful, please consider giving it a ⭐ on GitHub.
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Posted Sep 18, 2026
Developed an AI virtual try-on system using computer vision and AI APIs.
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