Closed Priyanka32-gif closed 4 weeks ago
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Hello @Priyanka32-gif! Your issue #235 has been closed. Thank you for your contribution!
Hello! I am a member of GirlsScript. I want to add a project and the objective of this project is to implement a web application for stress prediction using Django and a Naive Bayes machine learning algorithm. This web application aims to demonstrate the use of machine learning techniques in predicting stress levels based on user inputs.
Data Analysis, Cleaning, and Preprocessing:
Conducted extensive data analysis to identify key features impacting stress levels.
Cleaned and preprocessed the data to ensure quality and relevance.
Used Count Vectorizer and TF-IDF (Term Frequency-Inverse Document Frequency) to convert textual data into numerical features suitable for machine learning.
Implemented Stress Prediction Algorithm:
Utilized the Naive Bayes algorithm for its simplicity and effectiveness in classification tasks.
Developed a model to predict stress levels based on feature text, i.e user will provide the text based on the emotion they are feeling.
Used data from kaggle website for model development
Django Web Application:
Created a user-friendly web interface using Django for users to input their data.
Integrated the Naive Bayes model into the Django framework to provide real-time stress predictions.
Comprehensive Analysis:
Conducted thorough testing to evaluate the model's accuracy and performance.
Compared the Naive Bayes algorithm with other potential model i.e RandomForestClassifier to highlight its strengths and weaknesses in this context.