Giter Club home page Giter Club logo

superpositionivproject's Introduction

SuperpositionIVProject

Inspiration

We designed DermaWorks to give an accurate diagnosis of common skin conditions as searching the web would often lead to inaccurate results. When searching for a skin issue, most of the images are indistinct and hard to distinguish. With DermaWorks, skin condition diagnosis is also more affordable and convenient as it also acts like a diary, keeping track of your skins progress.

Features

Scans and detects skin conditions from an image Allows customization of user profile Tracks skin condition progress Validates authentic ingredients in skin products How we built it We build DermaWorks using Swift, CreateML for the image classifier model, Figma for design mockups, and Firebase for user logins.

Challenges we ran into

At first, the machine learning model from CreateML was inaccurate. However, as we started to input more images and remove outliers from the data sets, accuracy improved. We also struggled with conflicting constraints between multiple iPhone models.

Accomplishments that we're proud of

We managed to designed a machine learning model despite it all being our first time. We also designed our app mockup on Figma, which was difficult to pick up.

What we learned

We learned how to use CreateML to generate a model for image classification and techniques to improve model accuracy. We also learned how to design mockups on Figma and create tree databases in Google's Firebase.

What's next for DermaWorks

We plan to improve the machine learning model and move it to a more robust software for object detection, so the model can be trained only on necessary aspects of the image. Furthermore, we plan to add a feature for user contact, connecting them with dermatologists and licensed professionals.

superpositionivproject's People

Contributors

kemiairewele avatar chloe-yan avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.