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Depression Detection
In this project we are detecting depression from users post, user can upload post in the form of text file, image file or audio file, this project can help peoples who are in depression by sending motivated messages to them. Now-a-days peoples are using online post services to interact with each other compare to human to human interaction. So by analysing users post this application can detect depression and send motivation messages to them. Administrator of this application will send motivation messages to all peoples who are in depression. To detect depression we are using SVM (support vector machine) algorithm which analyse users post and give result as negative or positive.
If users express depression words in post then SVM detect it as a negative post else positive post.
To implement this project we are using python Speech Recognition API which will read text from audio files and then SVM will analyse that text to detect depression, user can also upload images via post and python Tesseract OCR (Optical Character Recognition) API can read text from uploaded image and then SVM will detect depression from that text, User can upload post in text file also.
Modules
Admin Module: Administrator will login to application using username as ‘admin’ and password ‘admin’. After login admin can view all registered users and all posts send by each users. Admin can send motivation messages to all depressed users. All positive and negative depression users can also be seen in the form of graph.
User Module: Users need to register with the application and then login to application to access various sub modules such as
Search Friends: Using this module user can see all peoples register with the application
Upload Posts: Using this module user can upload post in various formats such as text file, image or audio file. This application accepts only .WAV file format.
View Motivation Messages: Using this module users can view all motivation messages send by
administrator.
Technologies used in this project
Programming Language : Python 3.7
Web Server : DJANGO
Database : MYSQL
Web Technologies : HTML, CSS, Java Scripts
Below are software packages we need to install after installing python
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