Data engineering translate an image format to a parametrized format

The goal of DesignBot is to provide industrial designers with variations of their product design ideas. In such, we want to use the SVG image format as the base input to our AI and ML algorithms, since this format already standardized and widely used by designers. We would like to collaborate with students to construct an algorithm that can read the SVG file format and serialize it into programmatic structures which could be fed to AI and ML algorithms and allows them to modify an image by modifying parameters. We would like a group of students to analyze the SVG format, and adapt it to apply AI, ML and data modelling techniques. This will involve: Learn what the SVG format is Look and test SVG libraries in C\C++ Develop structures that would serve as input to AI/ML algorithms. Although the SVG library is in C/C++, the adapted format can be sent to AI/ML algorithms that are usually more in Python and other languages.

Software Development Grant Writing (Canada)

We are looking for assistance in finding and completing grant applications that support the development of software that will expand our business reach from local, to national to global. This project will include: Seeking out the grants available to Small & Medium businesses for digital transformation and software development Develop an understanding of what is required in each grant Understand our business model and growth plans

Data engineering translate an image format to a parametrized format (Part 2)

The goal of DesignBot is to provide industrial designers with variations of their product design ideas. In such, we want to use the SVG image format as the base input to our AI and ML algorithms, since this format already standardized and widely used by designers. We would like to collaborate with students to construct an algorithm that can read the SVG file format and serialize it into programmatic structures which could be fed to AI and ML algorithms and allows them to modify an image by modifying parameters. We would like a group of students to analyze the SVG format, and adapt it to apply AI, ML and data modelling techniques. This will involve: Working 10-15 hours per week. Show you progress in a weekly meeting. Learn what the SVG format is Look and test SVG libraries in C\C++ Develop structures that would serve as input to AI/ML algorithms. Although the SVG library is in C/C++, the adapted format can be sent to AI/ML algorithms that are usually more in Python and other languages.

Data Analysis and Visualization

We're a Canada-based start-up, but we have a global vision and mission: To create the world's most comprehensive and valid dataset on employee motivators.  To empower workers and companies to identify and fulfill their top motivators. At Motivators.io, we provide HR Consulting, Talent Assessments, and Career Coaching Services. On the assessment side, we collect insights on the top reasons why employees choose to join, stay with, or leave a job or company. These insights enable companies to make smarter investments in the programs and services that truly matter to their employees. Our dataset also provides real-time insights into workplace motivator trends by region, job function, seniority, etc. We would like to collaborate with students to analyze and visualize our raw datasets. This will involve several different steps for the students, including: Familiarizing themselves with our dataset objectives and analysis procedures. Checking for and correcting inconsistencies in the dataset. Calculating important results and plotting data in graphs and charts using Looker Studio and other visual data tools. Creating a repository of aggregate data with filterable fields. Identifying interesting trends and recommendations of market opportunities based on the data insights. Telling a story and insights based on your data analysis of motivating factors.