Artcryption helps creators manage and protect their assets and selling online with anti-fraud strategies. We want to leverage the latest technology to gain market advantage in AI and ML for visual fraud detection. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications.

We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to create datasets. Students will develop an AI / ML model and includes:

• Conducting background research on fraud and visual data sets
• Create a dataset based on visual and/or text based algorithms
• 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.

By the end of the project, students should demonstrate:

• Review options on how to build a prototype by reviewing available datasets
• Understanding of the latest AI / ML techniques for anti-fraud

Final deliverables should include

• A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
• 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
• An understanding of the problem and potential solutions related to fraud and anti-countefeiting
• Consultations, brainstorming and mapping solutions collectively