Artificial Intelligence & Machine Learning Application

Our company is a platform for creating data products enabled by AI, and we want to leverage the latest technology to gain market advantage. Applications of this technology to build data products include recommendation algorithms, predictive analytics like lifetime values, fraud detections, cyber security analytics and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research for specific problem domains (Will provide at the beginning of project) Analyzing the dataset (identify data requirements) Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem. (Key is to build a "deployable" solution

Kajabi Course Content Migration Project

The main goal for the project is to migrate the current online course content of 123 Petits Pas Inc. over to the Kajabi platform. This will involve transferring all existing course materials, videos, and resources to Kajabi in order to provide a seamless learning experience for families in a way that is visually pleasing and aligns well with our brand.

Data Modeling and ER Diagrams for SaaS API Tables

The main goal for the project is to convert the list of data tables of various SaaS based API's into proper data models using cube.dev or a similar approach. Additionally, the project aims to build ER models of the same to ensure efficient data organization and management. This will involve several different steps for the learners, including: - Analyzing the existing data tables and understanding the structure and relationships of the data. - Utilizing cube.dev or similar tools to create data models that accurately represent the SaaS API data. - Building ER models to visually represent the relationships between different entities in the data. - Testing the data models and ER diagrams to ensure they accurately capture the original data and its relationships.

Apple and Grape Detection Web App Enhancement

Cropmind Inc. is seeking to enhance its existing web application designed for detecting and analyzing apple and grape crops. The current solution requires updates to align with newly gathered business requirements, which aim to improve the accuracy and efficiency of crop detection and analytics. The project involves refining the detection algorithms, enhancing the user interface for better usability, and integrating new data analytics features to provide more insightful reports. The goal is to ensure that the updated application meets the latest industry standards and user expectations, thereby offering a more robust tool for farmers and agricultural professionals. This project provides an opportunity for learners to apply their knowledge in web development, data analytics, and user experience design.

AI-Powered Opportunity Matcher for CAYOP

The project aims to develop an AI-driven recommendation system for CAYOP, a platform dedicated to connecting students with professional development opportunities. The goal is to create a system that analyzes both the profiles of students and the available opportunities, such as scholarships, internships, and youth council positions, to provide personalized matches. Built on Bubble.io, the platform requires an AI solution that can efficiently process and analyze data to generate relevant recommendations. Additionally, the system should be capable of sending curated lists of opportunities to students on a weekly basis, enhancing their chances of finding suitable opportunities. This project allows learners to apply their knowledge of AI, data analysis, and web development to create a practical solution that benefits both students and the platform.

WeFlex Home Services SaaS

The project involves enhancing a thumbtack-like web and mobile application using Bubble.io, a no-code platform. WeFlex Web Services aims to provide a seamless experience for users seeking and offering home services. A ready-made template will be provided, serving as the foundation for the application. The primary goal is to integrate new features that will enhance user interaction and streamline the service matching process. Students will apply their knowledge of user interface design, user experience principles, and no-code development to implement these features. The project offers an opportunity to work with a real-world application, focusing on practical problem-solving and innovation within a defined scope. The tasks are closely related and designed to be completed by a team of learners from a single academic program, ensuring a cohesive approach to development.