Tmobilers

Inspiration

We were inspired by the Tmobile challenge to create an application that receives customer feedback, uses ai to analyze the feedback sentiment, and then create an actionable recommendation. We were particularly interested in this challenge because of its requirement of ai and data gathering and storage.

What it does

Our app links a customer survey to a firestore database for analysis by ai. Then, it presents a summary of trends in the data and creates an actionable recommendation for tmobile, based on the feedback.

How we built it

We created a google form to collect sample data. We then created an app script that formats and stores responses in a firestore database. Google Gemini analyzes the semantics and creates a summary of the responses and updates it in the database. On the front end, we used react which is connected to the database to run the ai script as well as present a link to the survey.

Challenges we ran into

We were all beginers so it was hard for us to know where to begin and we kept running into problems downloading different tools for use. Then figuring out how to add new components and connecting the google form and API was a challenge. Additionally, we had challenges using git hub properly to merge and push all our changes.

Accomplishments that we're proud of

We are proud that we all were able to participate in this hackathon and learn a lot. Additionally, we are proud that we were able to get working features for the product.

What we learned

We learned how to work as a team to brainstorm solutions, participate in a github, work in both Firebase and React

What's next for Tmobilers

Since we were beginners and limited on time, there were a lot of features that we would have liked to add but didn't get to. The future for Tmobilers would be to add more apis for data collection like from social media and also other sources like for power dropages.