AI Photo Studio
ProjectsClose Testing
Travel-Tech Case Study

AI Photo Studio

On-the-Go AI Image Editor & Enhancer

Tech Stack:React NativePyTorchPythonTailwind CSSCoreML
Close Beta

Testing Stage

120ms

Inference Latency

5 Custom Styles

Color Models

0.8 seconds

Upscale Speed

Overview & Motivation

An intelligent, portable image editor that uses localized lightweight neural networks to denoise, upscale, and color grade travel photographs on-the-go.

The Friction

The Problem

Editing RAW files on mobile is sluggish and typical photo editors apply generic filters that ruin the authentic tones of misty valleys and local architecture.

The Breakthrough

The Solution

AI Photo Studio runs a customized model trained on Garima's raw portfolio, letting travelers apply professional, context-aware color grading and exposure adjustments in seconds.

Development Process

Creator Process

Developed while traveling the neon corridors of Tokyo. Tested lightweight model compilation for local running on modern mobile chips.

UX Philosophy

Design Philosophy

Enhance, don't fabricate. AI should restore the natural mood and lighting as witnessed by the photographer's eye, not create artificial details.

AI Photo Studio Interface Detail
Future Roadmap

The Future Vision

Implementing zero-latency localized model pipelines for real-time video color grading on mobile devices.