Inspiration

We decided to do this project because the whole team liked it; we felt it was something new that no one on the team knew about; so we learned a lot!

What it does

Our project is an AI ChatBot (as well as a diary) that is able to understand the mood of an individual simply by the way users talk to the ChatBot, offering personalized answers.

How we built it

We built the project using Python for the backend and React for the frontend. As complementary technologies we also used DeepSeek (LLM), EmoRoBERT a (text to emotion) and Weaviate (vector database).

Challenges we ran into

The main problem we had was the lack of knowledge of the technologies used to carry out the project. This had collateral consequences as we were pressed for time towards the end.

Accomplishments that we're proud of

We are proud to have been able to present a model that meets some expectations in a record learning time for us.

What we learned

We learned a lot about the technologies used during the whole project, something we consider very important, as we never know when this knowledge may be needed.

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