Depression Rater

This is a website that uses machine learning and gathers data from user to rank their depression level.

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Inspiration-I wanted to make a website that can help people understand how depressed they are and help them understand their state of mind. What it does- I decided to make a website that scores you MADRS level which is the Montgomery-Asberg Depression Rating Scale. The MADRS basically rates the severity of your depression. This was done by getting a dataset on patients with depression and training it through python. Once all the form data is answered in React js, the form data is sent to the python server to get a prediction. React js then gets a response back and posts it. Challenges I faced- A challenge I ran into was using the Flask python server, since I had never used it before. Accomplishments I am proud of- I am proud of being able to get a good handle of Flask and learn it in such a short timeframe. What I learned-I learned how to connect scripts with different coding languages through Flask and on a broader level through the fetch system. What is next- I could try to get a bigger dataset to get even more accurate prediction and expand the number of mental health disorders I can try to predict. Here is the depression dataset: https://www.kaggle.com/datasets/arashnic/the-depression-dataset?resource=download

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