Project_Ana

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few commands after

Inspiration

We got our inspiration on undnerstanding the dynamic thinking of how a Product Analyst think.

What it does

Collect user report/review then calulate the average reviews, and assist the user in what the main praise/complain are

How we built it

We used trained our ML by using pre-existing open-source algorithms. We made our own database as well as Scraped actual tweets every 5 minutes and input it into the ML.

Challenges we ran into

We ran into challenges of merging the frontend and backend together. Our API was crashing a lot and often times we missed dependencies while trying to pull from each other branches.

Accomplishments that we're proud of

We are proud of the functionality of our chatbot and the robust UI/UX.

What we learned

We learned how to utilize BlueSky API, as well as using Google Gemini for our program.

What's next for Project_Ana

We want to be able to have a heat map to display take in real actual customers data from T-Mobile. As well as have improve on the UI/UX to be able to taylor to our T-Mobile product analysts.