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Project Overview

This project aims to develop a web application capable of predicting human stress levels based on text provided by users. The prediction model is built using a dataset sourced from Kaggle. The web application is developed using the Django framework, and the model achieves an accuracy of 86%.

Key Components
Data Analysis and Preprocessing
The project includes comprehensive Jupyter notebook files that detail the entire data analysis and preprocessing steps. Key processes involve:

Data visualization to understand patterns and correlations.
Data cleaning and preprocessing to prepare the dataset for machine learning algorithms.
Natural Language Processing (NLP)
The prediction is based on the analysis of user-provided text, capturing their emotions and feelings. Through NLP techniques, the patterns in the text are read and analyzed to make predictions about stress levels.

Machine Learning Algorithms
Two machine learning algorithms were implemented for stress prediction:

RandomForestClassifier
Multinomial Naive Bayes
Upon evaluation, the Multinomial Naive Bayes algorithm demonstrated superior performance and was thus selected for deployment in the web application.

Model Deployment
The trained model is serialized using the pickle package and integrated into a simple web application developed with the Django framework. The web application includes a sign-in form and is designed to be user-friendly.

Running the Project
To run this project, ensure you have the necessary settings for the Django framework configured. All required packages are listed in the requirements.txt file.

Thank you for your interest in this project.

Stress Prediction/Human Stress Prediction/Stress_Prediction_Project/asgi.py

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+"""
+ASGI config for Stress_Prediction_Project project.
+
+It exposes the ASGI callable as a module-level variable named ``application``.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.0/howto/deployment/asgi/
+"""
+
+import os
+
+from django.core.asgi import get_asgi_application
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'Stress_Prediction_Project.settings')
+
+application = get_asgi_application()

Stress Prediction/Human Stress Prediction/Stress_Prediction_Project/forms.py

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+# forms.py
+from django import forms
+from django.contrib.auth.forms import AuthenticationForm
+
+class LoginForm(AuthenticationForm):
+    username = forms.CharField(label="Username")
+    password = forms.CharField(label="Password", widget=forms.PasswordInput)

Stress Prediction/Human Stress Prediction/Stress_Prediction_Project/info.py

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+EMAIL_USE_TLS = True
+EMAIL_HOST = 'smtp.gmail.com'
+EMAIL_HOST_USER = 'gfg.demo.django.login'
+EMAIL_HOST_PASSWORD = 'gfgdemo123'
+EMAIL_PORT = 587

Stress Prediction/Human Stress Prediction/Stress_Prediction_Project/model.py

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+import pandas as pd
+import string
+from datetime import datetime
+from nltk.corpus import stopwords
+from sklearn.feature_extraction.text import CountVectorizer
+from sklearn.feature_extraction.text import TfidfTransformer
+from sklearn.naive_bayes import MultinomialNB
+import pickle
+
+data = pd.read_csv("Stress.csv") #reading csv file
+data.drop(['post_id','sentence_range'],axis=1,inplace=True) #droping these columns because these are less required columns
+
+data['text_length'] = data['text'].apply(len)
+'''dividing timestamp into day hr min sec month and year'''
+data['date'] = data['social_timestamp'].apply(lambda time: datetime.fromtimestamp(time))
+data['month'] = data['date'].apply(lambda date: date.month)
+data['day'] = data['date'].apply(lambda date: date.day)
+data['week_day'] = data['date'].apply(lambda date: date.day_name)
+data['hour'] = data['date'].apply(lambda date: date.hour)
+data['minumte'] = data['date'].apply(lambda date: date.minute)
+data['sec'] = data['date'].apply(lambda date: date.second)
+
+data.drop(['date','week_day'],axis=1,inplace=True) #droping date and week_day columns
+data.drop(['social_timestamp'],axis=1,inplace=True)
+
+
+def text_process(mess):
+    nopunc = [char for char in mess if char not in string.punctuation]
+    nopunc = ''.join(nopunc)
+
+    return [word for word in nopunc.split() if word.lower() not in stopwords.words('english')]
+
+mess_data = data[['label', 'text_length', 'text']]
+mess_data['label_name'] = data['label'].map({0: 'Not Stress', 1: 'Stress'})
+
+# Train the model
+model = MultinomialNB()
+mess_transformer = CountVectorizer().fit(mess_data['text'])
+messages_bow = mess_transformer.transform(mess_data['text'])
+tfidf_transformer = TfidfTransformer().fit(messages_bow)
+messages_tfidf = tfidf_transformer.transform(messages_bow)
+model.fit(messages_tfidf, mess_data['label_name'])
+
+# Pickle the model and transformers
+with open('Stress_Prediction_model.pkl', 'wb') as model_file:
+    pickle.dump(model, model_file)
+
+with open('CountVectorizer.pkl', 'wb') as cv_file:
+    pickle.dump(mess_transformer, cv_file)
+
+with open('TfidfTransformer.pkl', 'wb') as tfidf_file:
+    pickle.dump(tfidf_transformer, tfidf_file)

Stress Prediction/Human Stress Prediction/Stress_Prediction_Project/settings.py

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+"""
+Django settings for Stress_Prediction_Project project.
+
+Generated by 'django-admin startproject' using Django 5.0.3.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.0/topics/settings/
+
+For the full list of settings and their values, see
+https://docs.djangoproject.com/en/5.0/ref/settings/
+"""
+
+from pathlib import Path
+from .info import *
+import os
+
+# Build paths inside the project like this: BASE_DIR / 'subdir'.
+BASE_DIR = Path(__file__).resolve().parent.parent
+
+EMAIL_USE_TLS = EMAIL_USE_TLS
+EMAIL_HOST = EMAIL_HOST
+EMAIL_HOST_USER = EMAIL_HOST_USER
+EMAIL_HOST_PASSWORD = EMAIL_HOST_PASSWORD
+EMAIL_PORT = EMAIL_PORT
+
+# Quick-start development settings - unsuitable for production
+# See https://docs.djangoproject.com/en/5.0/howto/deployment/checklist/
+
+# SECURITY WARNING: keep the secret key used in production secret!
+SECRET_KEY = 'django-insecure-4n(9o9%ua$_fc5o(v6k1r^b=$&nee&3-c23#+%d96$jt0u8(3('
+
+# SECURITY WARNING: don't run with debug turned on in production!
+DEBUG = True
+
+ALLOWED_HOSTS = []
+
+APPEND_SLASH = False
+
+# Application definition
+
+INSTALLED_APPS = [
+    'django.contrib.admin',
+    'django.contrib.auth',
+    'django.contrib.contenttypes',
+    'django.contrib.sessions',
+    'django.contrib.messages',
+    'django.contrib.staticfiles',
+]
+
+MIDDLEWARE = [
+    'django.middleware.security.SecurityMiddleware',
+    'django.contrib.sessions.middleware.SessionMiddleware',
+    'django.middleware.common.CommonMiddleware',
+    'django.middleware.csrf.CsrfViewMiddleware',
+    'django.contrib.auth.middleware.AuthenticationMiddleware',
+    'django.contrib.messages.middleware.MessageMiddleware',
+    'django.middleware.clickjacking.XFrameOptionsMiddleware',
+]
+
+ROOT_URLCONF = 'Stress_Prediction_Project.urls'
+
+TEMPLATES = [
+    {
+        'BACKEND': 'django.template.backends.django.DjangoTemplates',
+        'DIRS': [os.path.join(BASE_DIR,'Stress_Prediction_Project','templates')],
+        'APP_DIRS': True,
+        'OPTIONS': {
+            'context_processors': [
+                'django.template.context_processors.debug',
+                'django.template.context_processors.request',
+                'django.contrib.auth.context_processors.auth',
+                'django.contrib.messages.context_processors.messages',
+            ],
+        },
+    },
+]
+
+WSGI_APPLICATION = 'Stress_Prediction_Project.wsgi.application'
+
+
+# Database
+# https://docs.djangoproject.com/en/5.0/ref/settings/#databases
+
+DATABASES = {
+    'default': {
+        'ENGINE': 'django.db.backends.sqlite3',
+        'NAME': BASE_DIR / 'db.sqlite3',
+    }
+}
+
+
+# Password validation
+# https://docs.djangoproject.com/en/5.0/ref/settings/#auth-password-validators
+
+AUTH_PASSWORD_VALIDATORS = [
+    {
+        'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
+    },
+]
+
+
+# Internationalization
+# https://docs.djangoproject.com/en/5.0/topics/i18n/
+
+LANGUAGE_CODE = 'en-us'
+
+TIME_ZONE = 'UTC'
+
+USE_I18N = True
+
+USE_TZ = True
+
+
+# Static files (CSS, JavaScript, Images)
+# https://docs.djangoproject.com/en/5.0/howto/static-files/
+
+STATIC_URL = '/static/'
+
+# Default primary key field type
+# https://docs.djangoproject.com/en/5.0/ref/settings/#default-auto-field
+
+DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'

Stress Prediction/Human Stress Prediction/Stress_Prediction_Project/templates/activation_failed.html

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+{% autoescape off %}
+
+Activation failed, Please Try Again !!
+
+{% autoescape  %}

Stress Prediction/Human Stress Prediction/Stress_Prediction_Project/templates/email_confirmation.html

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+{% autoescape off %}
+
+ Welcome to Colors Login!!
+ Hello {{ name }}!!
+ Please confirm your email by clicking on the following link.
+
+ Confirmation Link: http://{{ domain }}{% url 'activate' uidb64=uid token=token %} 
+
+ {% endautoescape %}