Ìmọ̀lè Stress Classifier

Inspiration

The need for mental health awareness in africa and letting young africans freely express themselves without stigma!

What it does

It provides 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 host the ml model backend and also calls an open source LLM to verify each of the ML model prediction after the questions are answered. The web app uses FLASK framework which is then hosted on RENDER for production.

Challenges we ran into

The challenges i ran into while building was the lack of young africans realities in ai model in terms of voice based and text based, which made me rely on static questions and answers.

Accomplishments that we're proud of

This porject 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 own benefits alone but for the benefits of others and reflecting their realities is crucial in all build.

What's next for Ìmọ̀lè Stress Classifier

THis stress clasiffier will be improved upon adding more diversity within africa to become more comprehensive and resonated with setting the stage for the main platform.

Access Code for young people outside of Africa: AFRICA2025. While for Africans outside of the continent please do use your motherland from Africa Please if you are not from Africa use the access code above to preserve the integrity of this project.

This is more than just a project but a build that shows the "Silence Is heard"

Built With

• built
• flask
• groq
• natural-language-processing
• python
• spotify
• supabase
• with