ICT Ignite - Web Dev - Front end user interface for existing back-end utilities.

Qoherent has produced a set of command line utilities for performing machine learning dataset curation and model training that can be useful as the back end for a web application. The project's goal is to create a user interface with a user-friendly UX for a web application based on these command line tools with a good user experience. This project requires no knowledge of machine learning, but learners will get some exposure to ML and have the opportunity to contribute to a a web-based design tool.

backlog management process improvement for a startup

Qoherent is looking for a student intern to set up a system for managing our software development backlog and roadmap. The student would take Qoherent’s desired feature list and translate it into a manageable and prioritized backlog in a tool such as Linear or Jira. A successful project would result in Qoherent’s team of developers having a well curated and organized backlog, as well as a repeatable and measurable process for managing it.

UX/UI Prototyping for Web-based ML Design Platform

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.

Technical marketing copywriting for software-defined radio start-up.

Qoherent aims to publish a series of short-form (300 word) articles on opportunities and challenges of AI/Software-defined radio within various industries. We hope to find students who will research, then summarize and compile findings into draft marketing copy for posting to various channels such as LinkedIn, Medium and more. One example includes this article . Our goal for this project is 3 draft articles, which we would then edit and post, while crediting the student. We have several topics in mind, but if students wish to propose their own after orientation, we are open to that. Example topics include: AI-based radios in drone detection, defense, maritime, connected vehicles, telecom, etc. MLOps opportunities and challenges Software-defined radio in drone detection, defense, maritime, connected vehicles, telecom, etc. Qoherent will begin the project with an orientation of its current business, its target markets, and any necessary coaching to complete the project.