AI Mobile Cover Image Platform
Budget: $250 – $750 USD
I’m building an AI-driven web platform where customers can upload any picture and instantly turn it into a personalised mobile-cover or tempered-glass design. The flow is simple—upload, edit, preview, buy—but the editing stage needs to feel slick and professional.
Here’s what has to happen once an image lands on the server:
• Advanced editor, not just basic sliders. From a single photo the system must generate multiple viewing angles of the cover so shoppers see the left, right and back in real time.
• Model-aware camera-cutout logic. The software has to mask and reposition artwork automatically around each phone’s camera island—iPhone 15 versus 15 Pro, for example—so nothing gets stretched or clipped.
• Core controls such as crop, resize, and filter remain available after the AI cutout runs, ensuring users can fine-tune alignment without breaking the mask.
Front-end responsiveness is crucial because most buyers will design directly on their phones. The editor should load fast, keep colours accurate and update previews with minimal latency. On the back end I’m open to the stack you’re most productive with—whether that’s React + Node, Vue + Laravel, or another modern combination—as long as it supports WebGL/Canvas for live rendering and is ready to plug into a payment API later.
When you deliver, I’ll review the codebase, spin it up on my test server and walk through:
1. Upload-edit-checkout path on at least two phone models (I’ll provide mock orders).
2. Accuracy of the AI camera cutout versus official device schematics.
3. Visual quality of the generated angled mock-ups.
If everything looks good I’ll green-light final payment and schedule the next milestone for template packs and text overlays. Let’s create a seamless, fun designer that keeps mobile-cover shoppers coming back.
Here’s what has to happen once an image lands on the server:
• Advanced editor, not just basic sliders. From a single photo the system must generate multiple viewing angles of the cover so shoppers see the left, right and back in real time.
• Model-aware camera-cutout logic. The software has to mask and reposition artwork automatically around each phone’s camera island—iPhone 15 versus 15 Pro, for example—so nothing gets stretched or clipped.
• Core controls such as crop, resize, and filter remain available after the AI cutout runs, ensuring users can fine-tune alignment without breaking the mask.
Front-end responsiveness is crucial because most buyers will design directly on their phones. The editor should load fast, keep colours accurate and update previews with minimal latency. On the back end I’m open to the stack you’re most productive with—whether that’s React + Node, Vue + Laravel, or another modern combination—as long as it supports WebGL/Canvas for live rendering and is ready to plug into a payment API later.
When you deliver, I’ll review the codebase, spin it up on my test server and walk through:
1. Upload-edit-checkout path on at least two phone models (I’ll provide mock orders).
2. Accuracy of the AI camera cutout versus official device schematics.
3. Visual quality of the generated angled mock-ups.
If everything looks good I’ll green-light final payment and schedule the next milestone for template packs and text overlays. Let’s create a seamless, fun designer that keeps mobile-cover shoppers coming back.