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

AI avatar chatbot

Create custom AI chatbots and avatars for clients to use to answer FAQs from their clients as well as describe their business. Document the process used and create a guide for other staff members to use to create new avatars.

Artificial Intelligence & Machine Learning Application

Our company advertises lot of products and programs and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We recently created an AI powered mentorship and coaching platform using ChatGPT and would like to enhance and create an extension that can be accessible through all our sites and possibly though an app. 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 on our existing products and the dataset. Review our current AI-Powered platform and adding any enhancements Analyzing our current dataset. 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.

Americas Electrical Sector Data Analysis

The project aims to analyze and compile data on electricity generation and emissions within the Americas region. The primary goal is to provide a comprehensive overview of the current state of the electrical sector, focusing on the types of energy sources used and their associated emissions. This project will enable learners to apply their knowledge of data collection, analysis, and interpretation to real-world scenarios. By examining various data sources, students will gain insights into the environmental impact of different energy generation methods. The project will involve tasks such as data gathering, cleaning, and visualization, ensuring that the information is accurate and easily understandable. This project is designed for students in environmental science or energy-related programs, allowing them to apply their classroom knowledge to a practical industry problem.