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AIFace DetectionReact

Face Recognition Brain

A smart application that detects faces in any image provided via URL URL, utilizing machine learning models to identify and highlight human faces.

Role

Full Stack Developer

Timeline

Hobby

Tools

React, Clarifai API, Node.js

Face Recognition Brain
01

Problem & Context

To integrate a machine learning API for real-time image processing in a frontend application.

02

Role & Responsibilities

As a Full Stack Developer, I led the design process entirely—from initial user research and wireframing to high-fidelity prototyping and developer handoff. My focus was on creating a scalable design system and ensuring a seamless user experience.

03

Research & Insights

To understand user needs, I conducted competitive analysis and user interviews. Key insights revealed that users prioritized speed, clarity, and trust. These findings guided the information architecture and visual hierarchy of the final product.

04

Design Iterations

The design process involved multiple iterations. Starting with low-fidelity sketches to validate flows, I moved to mid-fidelity wireframes for layout testing. Visual design decisions were driven by accessibility standards and brand identity.

05

Final Solution & Impact

Used the Clarifai API to analyze images coordinates and overlay bounding boxes on detected faces.

Trusted by Teams & Startups

Pixeltec
VMG Software
Konzept Solutions
EnlightVision