Depression Detector Chatbot

Project Title

Depression Detector Chatbot

Project Area of Specialization Artificial IntelligenceProject Summary

The project is based on a chat bot which will communicate with people in order to identify whether the particular person has depression or not. It will talk to people as their friends and can identify their mental state. Front end will be an android application that will work on user’s mobile phone and the backend will be on python that will determine the depression or anxiety through natural language processing.

Project Objectives

To develop a friendly application (chat bot) which can talk with person as friend in order to determine his/her mental state.

Project Implementation Method

In this project, the Natural Language Processing (NLP) technique will be used to make inferences about people’s mental state. These inferences can then be used to create online pathways to direct people to health information and assistance and also to generate personalized interventions. We plan to create a large-scale dataset of users with self-reported-depression messages. Several correlational analyses will be performed to understand the psycho-social-behaviors. Moreover, we will apply machine learning (ML) methods to build behavior prediction tools using the back Depression Inventory (BDI). We believe that the BD will be a valuable resource to be used by linguists, sociologists, computer scientists, psychologists.

Benefits of the Project

One notable benefit of chatbots is that engineers can program them to implement techniques widelyaccepted as advantageous in the psychological field. For example, Woebot is a chatbot that usescognitive behavioral therapy strategies to help users manage symptoms of anxiety and depression.

Technical Details of Final Deliverable

1. The outcome will be a mobile app which will communicate with a user and predict thedepression of a user.

2. A friendly chatbot which act like a friend.

3. Mobile application will be based on Android.

4. Backend will be on Python Django framework.

5. The server will be hosted on AWS as it will require tremendous amount of processing.

Final Deliverable of the Project Software SystemCore Industry HealthOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	10000
AWS Server C5 d.large Instance per hour	Equipment	0	0	0
NLP and RNN courses	Miscellaneous	2	5000	10000