Our research institute explores the root causes of global problems and publish reports on critical issues in relation to the UN SDG's. We want to leverage the latest technology to advance our capacity.

Applications of this technology include LLM's, RAG, recommendation algorithms, predictive analytics / forecasting like lifetime values, modelling 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 on our existing products and the dataset.
• 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.

By the end of the project, students should demonstrate:

• Understanding of the available dataset
• Understanding of the latest AI / ML techniques
• Identification of ways in which AI / ML can be applied to our company

Bonus steps would include:

• Providing multiple versions of potential models

Final deliverables should include

• A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
• Product outputs of the full-stack AI programs developed.
• Source materials such as code and workbooks.

Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:

• Our current products and applications of AI / ML
• The current data set and guidance in navigating it
• Current industry standard approaches to AI / ML
• Input on choices, problems or anything else the students might encounter.