ABSTRACT
- Early detection of mental health issues allows specialists to treat them more effectively and it improves patient’s quality of life.
- Mental health is about one’s psychological, emotional, and social well-being. It affects the way how one thinks, feels, and acts.
- Mental health is very important at every stage of life, from childhood and adolescence through adulthood.
- This study identified five machine learning techniques and assessed their accuracy in identifying mental health issues using several accuracy criteria.
- A person’s mental well-being is his or her mental condition, as well as an overview of his or her general environment. Brain chemistry abnormalities are the cause of mental illness.
- An individual’s mental health serves as a barometer for properly addressing his or her diseases.
- To predict any health-related irregularities, it is critical to keep track of diverse groups’ mental health profiles.
- The community is made up of working professionals, college students, and high school students.
EXISTING SYSTEM
- There has been many studies and researches where people have been predicting mental health problems like depression and anxiety using the algorithms of machine learning.
- Majorly decision tree, support vector machine, random forest and convolution neural network for the collection and classification of data from blog posts.
PROPOSED SYSTEM
- The initial step is data collection.
- We have tried to collect data from different places. There was no standard dataset available which could match our requirements. Hence, we had to collect all the data ourselves.
- We made a survey form for each disease and distributed, both online and offline for people to fill it.
- The nature of our questions was objective and situational.
- We also included people who are currently suffering from some kind of mental illness and are seeing doctors for it and taking some kind of medications.
- Once the data collection is done, the user’s response is converted using numeric values of 0 to 3, and in some cases 0 to 4.
- Once we had enough data collected, it was moved to preprocessing and is split into two subsets i.e., training and test data sets.
- It is important to fill out the missing values in the dataset or modify it to increase the quality of the dataset.
- Once the preprocessing of data is completed, it then moved to feature extraction thenceforth prediction of mental illness.
PROJECT VIDEO
Software Requirements:
- Front End – Anaconda IDE
- Backend – SQL
- Language – Python 3.8
Hardware Requirements
- •Hard Disk: Greater than 500 GB
- •RAM: Greater than 4 GB
- •Processor: I3 and Above
Including Packages
=======================
- * Base Paper
- * Complete Source Code
- * Complete Documentation
- * Complete Presentation Slides
- * Flow Diagram
- * Database File
- * Screenshots
- * Execution Procedure
- * Readme File
- * Addons
- * Video Tutorials
- * Supporting Softwares
Specialization =======================
- * 24/7 Support * Ticketing System
- * Voice Conference
- * Video On Demand
- * Remote Connectivity
- * Code Customization
- * Document Customization
- * Live Chat Support
mental health detection using machine learning, Mental health prediction using machine learning code, Mental health prediction using machine learning PDF, Mental health prediction using machine learning ppt, Mental health prediction using machine learning dataset, Predicting mental health illness using machine learning algorithms, depression detection using machine learning, Depression prediction using machine learning, Finding psychological instability using machine learning Mental fitness tracker ML model
How much does it costs
How much does it price
How much does it cost. I want to buy iy
I am intereu
im fresher looking for job so i want create a project what will be the price for this
What is the price
Price pls
I want this project within one day
can i get the dataset?
How much does this project cost?
how can i purchase this project source code
how can we purchase this project source code?
how can we get this project source code?
price?
Its 4000 RS