Founded 4th Place Startup in UEA I-Fund Pitch Competition

May 2020 - January 2021

Background

MLforALL guides you in learning about and experimenting with machine learning without coding experience. This is done by providing an accessible all-in-one platform for machine learning education. We aspire to act as an equalizer in this important field by exposing people to a personalized machine learning experience with three core ideas: create, explore, play.

• Create. To create a project, all users need to do is upload data or select one of our examples! MLforAll guides users through a step-by-step process of creating a model. Follow explanations as to why users are choosing certain parameters and read in-depth explanations of different types of models and math.
• Explore. As users create their projects, they can share it with our community of fellow learners. This offers a great way for both new users to get acquainted with projects and old users to present personal projects they are proud of.
• Play. Some learn by doing, others by reading, but most learn by doing both. MLforALL encourages this style of learning with not only an intuitive create process, but also an in-house platform to test, experiment with, and play with machine learning models. See what your model would predict and edit your models as necessary!

See The Project

A Quick Link for all the content below (and more): https://linktr.ee/mlforall

View the Live Site:

MLforALL

View the Github Repo:

MLforALL-app/MLforALL

View our Business Plan and Pitch Deck:

Business Info

Skills Used

• ReactJS

• Redux

• Gatsby

• MaterialUI

• Google Cloud Run

• Google Cloud Storage

• Firebase Authentication

• Firebase Firestore

• sci-kit Learn

• PyPlot

• Flask RestAPI

• Firebase SDK

Group Members

This project would not have been possible without the help of Davis Wojnovich, Joseph Kim, Max Hirsch, Megha Jain, Rong Feng, and Adrian Palomo.