Mental Health Prediction Bot

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  Using the bot and the output result

Inspiration

Many people struggle in identifying their feelings. We try to help people who don't know what they are facing so they can take the right steps after that.

What it does

A test that contains 24 questions that is answered with a yes or a no. At the end, it shows the most probable output of being

1. Depressed
2. Anxious
3. Lonely
4. Stressed
5. Normal It can be a symptom for one of another mental disorder. However, it provides a helpful insight on where to start and how someone feels. ## How we built it Used Tensorflow to create a deep learning neural network model with 3 hidden layers and one output layer. The 3 hidden layers used tanh activation function and the output used the softmax function. ## Challenges we ran into Using the ML model to predict the disease through the bot.

Accomplishments that we're proud of

Applying theoretical ML knowledge and programming skills for a project that we are proud to do as beginners given that this is our first hackathon

What we learned

Learned to implement the softmax function for multi class classification. Learned how to use an API for Discord that uses the model

What's next for Mental Health Prediction Bot

Give advices to the users on where to go next and how to deal with how they are feeling. Extend the outputs to cover many symptoms or even disorders so they can get better information on how to deal with their situations.

Built With

• discord
• disnake
• python
• tensorflow