AI Glam Photo App Build,
Budget: $15 – $25 USD
I want an MVP that mirrors the core experience on https://glam.ai/ and does so at startup-speed. A user should be able to upload or snap a photo, watch it pass through an AI pipeline that beautifies, retouches and applies “glam” styles automatically, then save or share the result—all in a few seconds.
Scope
• Front ends for iOS, Android and Web that share the same look, feel and feature set.
• A lightweight back-end (preferably Python or Node) hosting the models, a simple REST/GraphQL API and basic user/auth management.
• The AI itself should handle skin smoothing, tone correction, relighting, background clean-up and optional virtual makeup in one pass. Pre-trained diffusion, GAN or vision-transformer models are fine as long as licensing allows commercial use.
• Cloud deployment (AWS, GCP or similar) with GPU instances and auto-scaling so I can demo to investors without downtime.
Deliverables
1. Working cross-platform app bundle + web build.
2. Source code and environment files.
3. Model weights or clear instructions for re-training/swap-in.
4. A one-page admin panel that shows usage stats and lets me toggle feature flags.
5. Brief video demo and README that let me reproduce the setup from scratch.
Acceptance criteria
– Upload → AI processing → downloadable result in under 15 s on a mid-range phone.
– Identical output quality across all three platforms.
– No watermarks, no license conflicts.
Move fast, document as you go, and keep the architecture clean enough for future feature add-ons like batch processing or subscription paywalls.
How long would it take you to basically build something very similar to https://glam.ai/, how would you do it?
Scope
• Front ends for iOS, Android and Web that share the same look, feel and feature set.
• A lightweight back-end (preferably Python or Node) hosting the models, a simple REST/GraphQL API and basic user/auth management.
• The AI itself should handle skin smoothing, tone correction, relighting, background clean-up and optional virtual makeup in one pass. Pre-trained diffusion, GAN or vision-transformer models are fine as long as licensing allows commercial use.
• Cloud deployment (AWS, GCP or similar) with GPU instances and auto-scaling so I can demo to investors without downtime.
Deliverables
1. Working cross-platform app bundle + web build.
2. Source code and environment files.
3. Model weights or clear instructions for re-training/swap-in.
4. A one-page admin panel that shows usage stats and lets me toggle feature flags.
5. Brief video demo and README that let me reproduce the setup from scratch.
Acceptance criteria
– Upload → AI processing → downloadable result in under 15 s on a mid-range phone.
– Identical output quality across all three platforms.
– No watermarks, no license conflicts.
Move fast, document as you go, and keep the architecture clean enough for future feature add-ons like batch processing or subscription paywalls.
How long would it take you to basically build something very similar to https://glam.ai/, how would you do it?