Financial Modelling webapp UI/UX redesign

Our company would like to explore re-designing our current financial modelling/dashboard website. We are always on the lookout for innovative and fresh UI and UX ideas that will help our users. This will involve: Conducting background research on our existing web application for the product. We are happy to provide a walkthrough and other resources to help bring them up to speed. Identifying key areas of our current website and what areas of focused might return the best results in a redesign. Learning and using various software design tools. We strongly recommend students learn how to use Figma as this is the latest and greatest tool currently available. Creation of a screen by screen UX / UI prototype of a web application which can be used on all major browsers and be mobile friendly Conducting UX / UI testing with real potential users potentially involving paper prototypes or other software tools to support this

API Automation development project

The main goal for the project is to complete and enhance certain automated processes within ARHT Media Inc. to facilitate the transfer of data between various platforms. This will involve several different steps for the team, including: - Analyzing the current automated processes and identifying areas for improvement. - Developing and implementing enhancements to the automated data transfer processes. - Testing the updated processes to ensure seamless data transfer between platforms. - Documenting the updated processes for future reference and training.

Artificial Intelligence & Machine Learning Application

Our company advertises thousands of products, 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 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.