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Mobile App

Beauticator

Your AI Selfie Companion

Tech: Flutter · TensorFlow · MySQL · Firebase

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Get confident about every selfie you take

The Problem

People take dozens of selfies to get one they like, but feedback usually comes late and public. Photo-editing apps improve pictures, not confidence. Social media rewards polished images but gives no guidance on how to get there. Users want fast, private input without uploading their face to a server.

The Solution

Beauticator lets selfie-focused users capture or upload a photo and get an instant, on-device aesthetic score so they can adjust lighting, pose, or framing before sharing.

Target Audience

Creators, students, and social users who care about how they look on camera and want quick, private feedback

Market Opportunity

Selfie culture is mainstream, but privacy concerns around biometric data are rising. On-device AI makes it possible to deliver feedback without cloud storage. Tools that pair camera UX with privacy-first AI can stand out in a crowded photo app market.

Key Features

On-Device Scoring

Runs a TensorFlow CNN locally for instant feedback. Keeps photos private and reduces latency.

Camera and Gallery Modes

Analyze a new selfie or pick one from your gallery. Makes the app useful in the moment and after the fact.

Actionable Feedback Cues

Highlights why a shot scored the way it did, such as lighting or framing. Helps users improve, not just rate them.

History and Retakes

Compare recent shots and iterate until the score feels right. Encourages quick learning loops.

Technology Stack

Frontend: Flutter
Ai ml: TensorFlow (on-device CNN)
Backend: Firebase
Storage: MySQL (training metadata or analytics)
Other: Firebase Auth

Project Status

MVP complete — seeking first 100 users

Engineering Reflection

If starting over, I’d invest earlier in dataset normalization to reduce bias across lighting and skin tones. I’d also build a clearer calibration flow so users can tune scoring to their personal style.

Looking For

Open to beta users, privacy-first consumer app angels, and advisors in mobile growth

View Technical Overview

Beauticator is an AI-powered mobile app designed to enhance your selfie experience. Built using Flutter, TensorFlow, MySQL, and Firebase, it combines cutting-edge technology with a seamless user experience.

The app runs a locally hosted TensorFlow CNN model to process images directly on your device, ensuring privacy and speed. Users can take pictures using the camera or select images from the gallery, and the app evaluates the aesthetic appeal with advanced machine learning.

Whether you're capturing moments or perfecting your selfies, Beauticator is your trusted AI companion for instant feedback and fun!