Canadian Immigrant Agriculture Classification and Analysis

The project aims to analyze and classify vegetable, crops, and livestock that are normally imported, but are now being produced in Canada. The project will focus on various factors such as sales by type, profitability, region, consumer type, demand, and year-round growth condition requirements. This initiative will provide valuable insights into the agricultural landscape, helping stakeholders understand the economic and environmental impacts of different farming techniques, including hydroponics, aeroponics, greenhouses, and open farmland. By leveraging classroom knowledge in data analysis, agriculture, and economics, learners will develop a comprehensive classification system that can guide future agricultural practices and policies. The project will involve data collection, analysis, and the creation of a detailed report that synthesizes findings and offers actionable recommendations.

Vegetable Database Development

myAIpathway Inc. is seeking to develop a comprehensive database to efficiently store information about various vegetables, including their names, uses, and alternate names. The goal is to create a structured and easily accessible repository that can serve as a reference for culinary professionals, nutritionists, and researchers. This project will allow learners to apply their knowledge of database design and management, focusing on creating a user-friendly and scalable solution. The project will involve tasks such as data collection, database schema design, and implementation using a suitable database management system. The team will also ensure data integrity and implement search functionalities to facilitate quick retrieval of information. By completing this project, learners will gain practical experience in database development and management.

Ecommerce Platform User Experience Analysis

myAIpathway Inc. seeks to enhance the user experience of its ecommerce platform by conducting a comprehensive user testing project. The primary goal is to identify usability issues and gather insights into user behavior and preferences. This project will enable learners to apply their knowledge of user experience design and analysis, focusing on real-world ecommerce challenges. The tasks involve designing and conducting user tests, collecting and analyzing data, and identifying key areas for improvement. The project is structured to be completed within 80 hours by a team of learners specializing in user experience or digital marketing. By the end of the project, learners will have gained practical experience in user testing methodologies and data-driven decision-making.

IBM SkillsBuild: Build a Simple Image Classifier

The objective of this project is to: Create a basic AI model that classifies images and can be used by my business (e.g., handwritten digits or fruit). Desired outcomes by the end of the project: Describe machine learning algorithms and models Explain the purpose of IBM Watson Studio Describe the key features and benefits of IBM Watson Studio Set up a machine learning project in IBM Watson Studio Create a Cloud Object Storage resource Import a data set into IBM Watson Studio Build an AI model using AutoAI in IBM Watson Studio Run a prediction experiment for an AI model Explain the confusion matrix Save a model as a Jupyter Notebook Download a notebook in Jupyter Notebook (.ipynb) format Recommended IBM SkillsBuild course: Run AI Models with IBM Watson Studio