AI NLP for depression detection
This repository was created to deploy machine learning project and created website can be find under:
https://depresstest.herokuapp.com/
Repository was created to detect depression indicators from natural speech with tf.keras. To achive this goal dataset scrapped from reddit with 7731 instances has been used(https://www.kaggle.com/datasets/infamouscoder/depression-reddit-cleaned).
Web deployment has been built using django framework.
Model achieved 92.3% accuracy on train dataset and 90.0% accuracy on test dataset.
Example of prediction:
Deployment has been done using Heroku servers.
Page layout:
