Passenger Protect Program: Strategic Market Research for Next-Gen Travel Insurance

The main objective of this project is to conduct comprehensive market research to develop an innovative, AI-based platform that significantly enhances airline passenger satisfaction by efficiently managing and resolving travel-related insurance claims. The overarching goal is to revolutionize the travel insurance sector by offering a service that is not only responsive and efficient but also adds considerable value to the overall travel experience of airline passengers.

Synthetic data AI/ML App

Our company is interested in building upon our synthetic data application. Impact of this work spans the variety of services we provide in data creation, management, and analysis to potential clients in the social impact sector. We would like to collaborate with students to simulate different tabular data scenarios by needs specific to each sub-sector we serve, i.e. philanthropy, impact investing, think tank, advocacy, higher education. Students will write code and documentations to explore 2-3 common, tabular dataset scenarios per sub-sector that our company can use as reference points for our application's back-end processing tasks. This will involve several different steps for the students, including: Developing familiarity with Python synthetic data libraries Building intuition on dataset structures typical in social impact sub-sectors Evaluating then prioritizing options for building the app back-end with a zero-trust architecture model Writing clean code and requisite technical documentations