She Loves Tech Problem Statement #2

How does the solution work?

The solution is meant to work by inputting a search criteria that investors have when looking for startups, including the regions they want to invest in, the industries, and startup stage. Then the Cognitive Search solution would then give a list of startups that curate to the investor's preferences based on the search.

How was the solution developed?

The solution is developed using Cognitive Search in Azure AI. Using the data sample provided, the data of the startups is indexed and can be searched to curate a personal list of startups for an investor.

Challenges faced during the design and/or development process?

Using Microsoft Azure for the first time, I faced many challenges in understanding how to implement certain features to make my solution. One of the major struggles I faced is finding a way to contextualize the input of a region and giving startups from countries in that region. For instance, if I were to search for startups that are in Southeast Asia, I would like to have a list of startups that are from Thailand, Malaysia, and other Southeast Asian countries. I initially thought that I needed to implement the semantic search feature to contextualize the regions, but after some guidance from mentors, I learned that I can fix the issue by data mapping and using a country list dataset.

What we learned

I learned a lot about how to use Cognitive Search and essentially how to build the foundation of a search explorer.

What's next for She Loves Tech Problem Statement #2

I hope to continue working on the solution and to completely develop my solution in order to get the desired results.

Built With

• azure-ai
• cognitive-search