Inspiration
The need for mental health awareness in Africa and letting young Africans freely express themselves without stigma!
What it does
It provides a series of questions in the realities of young Africans to be able to predict their stress level and provide resources to help while also storing the data provided.
How we built it
I built this project firstly by training the ML model that predicts based on key features after successful training with high accuracy then I created the web app that hosts the ML model backend and also calls an open-source LLM to verify each of the ML model predictions after the questions are answered. The web app uses the FLASK framework which is then hosted on RENDER for production.
Challenges we ran into
The challenges I ran into while building were the lack of young Africans realities in AI models in terms of voice-based and text-based, which made me rely on static questions and answers.
Accomplishments that we're proud of
This project is an accomplishment I am proud of because it set the stage for other things to come.
What we learned
I learned that in all I do, I shouldn't build just for my benefits alone but for the benefits of others and reflecting their realities is crucial in all I build.
What's next for Ìmọ̀lè Stress Classifier
This stress classifier will be improved upon by adding more diversity within Africa to become more comprehensive and resonate with, while setting the stage for the main platform.
P.S. for non Africans please do use this code: AFRICA2025
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