Depression and Stress Detection Using Speech Emotion Recognition

Keep in mind that depression is becoming an increasingly serious problem around the world. Our goal is to assist people in dealing with anxiety and despair. Speech analysis is used in our study to detect user depression. The Mel-Frequency Cepstral Coefficients (MFCCs) are utilized as a classificatio

Project Title

Depression and Stress Detection Using Speech Emotion Recognition

Project Area of Specialization

Computer Science

Project Summary

Keep in mind that depression is becoming an increasingly serious problem around the world. Our goal is to assist people in dealing with anxiety and despair. Speech analysis is used in our study to detect user depression. The Mel-Frequency Cepstral Coefficients (MFCCs) are utilized as a classification feature in machine learning to diagnose depression. It will be a mobile application via which we will be able to detect depression through voice.

Project Objectives

• Firstly we detect depression through speech recognition
• Secondly we detect Stress
• In future I will add Happy , sad emotions also

Project Implementation Method

Hardware requirement: -

• Minimum system required for development: -
• CPU: i5 4th generation
• RAM: 16 GB
• For IOS version: -
• Mac book or iMac
• CPU: i5 4th generation
• RAM: 16 GB

Software requirements

• Operating systems 
• Windows 10
• Mac OS
• Linux (Ubuntu)

IDE

• Android studio
• Xcode
• Pycharm

Text Editor

• Vs Code

API Testing

• Postman
• Database development
• Mongo dB compass

Version Control

• Github

Web testing

• Google Chrome

Mobile app testing

• Android nexus 6 emulator
• IOS IPhone 8 simulator

Programming Languages used:-

• Dart
• JavaScript
• Java
• Swift
• Python 3

Application development Frameworks

• Flutter

Database

• Mongo dB
• Firebase
• Mysql/postgress

Benefits of the Project

We provide handy access to discover Depression in someone you care about, such as a close relative, and to make an early decision on how to help them overcome their problems.

Technical Details of Final Deliverable

Through voice, a mobile application may identify depression and stress.

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

IT , Health

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com