Digital / 2026
AI Photo Revive
AI Photo Revive: restore, enhance, and preserve vintage photos with smart credit-based mobile processing.
The Challenge
Users want simple, high-quality restoration of old/damaged photos without over-editing or losing authentic historical content while managing usage costs.
The Solution
Built a Flutter app + Supabase backend that authenticates users, tracks weekly/top-up credits, and routes image edits through configurable AI providers (Runware/NanoBanana/Replicate/Laozhang). The app supports multiple modes (restore, colorize, vintage, enhance, sharpen, denoise, enlighten), enforces server-side credit debit and logging, handles image upload or data URI input safely, and returns before/after assets in a polished, full-stack pipeline.