UX/UI Prototyping for Web-based ML Design Platform

Closed
Qoherent
Toronto, Ontario, Canada
Ashkan Beigi
Founder / CEO
(7)
4
Preferred learners
  • Canada
  • Academic experience
Categories
Data visualization UI design UX design Website development Machine learning
Skills
wireframing user interface prototyping command-line interface machine learning linux servers scripting user experience (ux) figma (design software) user interface (ui) front end (software engineering)
Project scope
What is the main goal for this project?

Qoherent has a set of command-line based tools for the end-to-end production of machine learning models for various radiofrequency signal classification tasks.

The tools include:

· A Dataset generator, for producing machine learning-ready datasets.

· A recording viewer for examining individual examples and recordings of real-world data.

· A dataset viewer for viewing contents of a dataset.

· A model builder that produces machine learning models based on a configuration file.

· A model tester that characterizes a model’s performance by performing automated tests on it.

These tools, which were implemented for automation and scripting, currently only run on a cloud-based linux server, and have no user interface.

Qoherent would like to build a web-based user interface for users who wish to use our tools outside of the CLI environment.

The goal of this project is to prototype or wireframe a potential user interface for our software utilities.

What tasks will learners need to complete to achieve the project goal?

· View multiple demos of Qoherent software (live and recorded)

· Review and document the workflow of Qoherent software

· Create concepts and mock-ups.

· Create the wireframe in a tool such as Figma or code up one in any preferred front end framework.

About the company
  • https://qoherent.ai
  • 2 - 10 employees
  • Telecommunications, Technology, It & computing, Airlines, aviation & aerospace, Defense & security

Qoherent is an early-stage start-up that is driving the creation of AI-based radio technologies.

Qoherent provides solutions and a platform for integrating machine learning into software-defined radios, for the purpose of building robust, aware, and adaptive radio communication systems.

Qoherent’s current focus is on providing customers with software solutions for recognizing wireless activity with machine learning, as well as building a platform of software development tools to aid in creating machine learning models, deployable to heterogenous systems, that recognize radio waves.