Inspiration
The Mental Health Predictor is a machine learning tool that analyzes symptoms to predict mental health. This is an unprecedented situation where every realm of our everyday lives have changed. This has had a profound impact not only on our physical health but also our mental well being.
What it does
Machine Learning techniques can potentially offer new routes for learning patterns of human behavior, identifying mental health symptoms and risk factors, developing predictions about disease progression, and personalizing and optimizing therapies.
How we built it
-Data Collection -Data Analyzing -Selection of features -Creation of algorithm -Selected ML Algorithm -Tested and trained the data -Got the accurate ML Algorithm that can be used
Challenges we ran into
Despite the fact that our data was primary, we had difficulty in interpreting the true meaning of the people's responses because a one-on-one conversation was not feasible owing to the existing scenario. It was tough to decide what features to use to determine one's mental condition. It was tough to formulate the appropriate questions in order to obtain an accurate result. It was challenging to choose the right algorithm for our dataset.
What we learned
We learnt how the ML concepts can be applied through the dataset and the use of different algorithms.
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