How to develop "Virtual Try-On with AI" app without coding.

🚀 Exploring Virtual Try-On with AI
Lately, I’ve been hearing a lot about NanoBanana AI, so I decided to experiment — and ended up building a small Virtual Try-On app.

✨ The Idea
Imagine shopping online for clothes or jewellery and instantly seeing how it looks on you before hitting “Buy Now.” That’s the experience I wanted to try out.

💡 How I built it
I started with the Gemini free-tier API, but since it doesn’t generate images, I moved on to Gemini AI Studio. To my surprise, with just clear instructions, it generated a working TypeScript app — even though I had no prior experience with TypeScript or the stack it used.

🛠 How it works
Input 1️⃣: Upload your photo.
Input 2️⃣: Upload a clothing/jewelry image or paste a shopping website link.

📸 The Output
Generates a new image of you virtually wearing the selected item.
If you provide a shopping link, it fetches product images automatically and creates multiple try-on previews.

📸 Demo (attached video)
Case 1: Jewelry → Upload a personal photo + a jewelry item, and the app generates an image showing how it looks on you.
Case 2: Dress → Upload the same personal photo + a dress, and it generates an image of you wearing it.
Case 3: Shopping Link → Paste an online shopping URL, and the app automatically fetches the item images and generates multiple try-on previews.

🎯 Why it’s exciting
Shoppers can try outfits or accessories virtually, saving time and reducing guesswork.
E-commerce platforms could use this to boost customer engagement and sales.
With recommendations (like matching footwear or jewelry), it could also improve cross-selling.

⚠️ Note: Be mindful of uploading personal photos to any online tool — data privacy always matters.

This was just a fun experiment — sometimes the results are spot-on, other times they’re hilariously off 😄. But with fine-tuning, this could evolve into a powerful feature for the future of online shopping.