Mental Health: Detection & Diagnosis

In this Work is built around Machine Learning Algorithms, Techniques, and Inferences. Machine learning is a data analysis methodology that allows for the automated creation of analytical models. It's a subset of AI that focuses on the idea that computers can learn from data, recognize patterns, and make decisions with little or no human intervention. We tested few ML algorithms depending upon our parameters that we would be further using to test our model. Thereby, the algorithm giving the best accuracy has been used. The front end hosted a questionnaire from where the data fetched is sent via API on our already trained model for the same. The results fetched from the model is reverted again by the API to show the above prediction. Besides this, we have created a 2-tier application because in case of a 1 tier application, in case of any small errors or changes too, the whole application must be changed.