Hoverla
/Soft

AR and AI-Driven Hair Transplant Simulations

Development of realistic hair transplant simulations using augmented reality and machine learning technologies.

technologies

React JSDeepARCanvas JSReact QueryLobe AIDjango API

Industry

healthcare

Country

United Kingdom

Project State

Started in Apr 7, 2023

Team

1 developer & 1 project manager

The challenge

Viewlabs embarked on an innovative project to address a common concern among older men: visualizing the results of hair transplant procedures. The goal was to create a user-friendly, accurate simulation of hair transplantation results, leveraging the latest in augmented reality (AR) and machine learning (ML) technologies.

The solution

React JS & Styled Components

For building a responsive, dynamic user interface with custom styling.

DeepAR

This AR technology was used to create real-time, photorealistic hair overlay on patients' photos.

Canvas JS

Facilitated dynamic, interactive visual elements within the application.

React Query

Used for efficient data fetching, caching, and state synchronization in the React application.

Lobe AI

Leveraged for machine learning capabilities, particularly in training models to generate various hair transplant outcomes.

Django API

Served as the backend framework, managing data flow and application logic.

Core features

1

Realistic Hair Transplant Simulations

Utilizing AR and ML to provide highly realistic previews of post-transplant hair.

2

Customizable Options

Patients can see various outcomes, tailored to their individual characteristics.

3

User-Friendly Interface

Designed for ease of use by both clinicians and patients.

4

Data-Driven Decision Making

Empowers patients with visual data to make informed decisions about their procedure.

Implementation

The project phases were systematically structured as follows:

Requirement Analysis

This initial phase focused on in-depth understanding and documentation of the specific needs and expectations for the hair transplant simulation application. Emphasis was placed on how to best integrate augmented reality (AR) and machine learning (ML) technologies to simulate hair transplant outcomes effectively, ensuring alignment with the market's requirements and the application's intended use.

Design and Prototyping

The team embarked on creating a user-friendly and visually appealing design. This phase involved crafting an interface that resonated with the application's high-end user demographic while maintaining the sophistication and brand identity of Viewlabs. Prototyping played a critical role in this phase, allowing stakeholders to visualize and refine the application's user experience and functionality before full-scale development commenced.

Development

Leveraging a robust technology stack comprising React JS, DeepAR, Canvas JS, Lobe AI, and Django API, the development team built the frontend application. This phase was characterized by a collaborative effort to integrate AR and ML technologies seamlessly into the user interface, ensuring a responsive and dynamic user experience.

Testing

Rigorous testing was a cornerstone of the project. The team conducted comprehensive tests, including unit tests to validate individual components and end-to-end testing to ensure the entire application's functionality, security, and performance. This phase was critical to identify and rectify any issues before the application's launch.

Deployment and Monitoring

The final phase involved the deployment of the application. Once live, continuous monitoring was instituted to promptly identify and address any operational issues. This phase ensured the application's performance remained optimal and user feedback was integrated for ongoing improvements and updates.

Mykhailo's work is really high-quality. He's worked on our very complex project that's been ever evolving, requiring skill and patience. Will certainly be using his services in the future.

William Dickinson

Founder of View Labs

Outcome

This project successfully delivered a state-of-the-art hair transplant simulation tool. It significantly improved the consultation process by providing realistic expectations of hair transplant results. This innovative approach enhanced patient confidence and satisfaction, ultimately contributing to a more informed and positive healthcare experience.