Fluence v1.2

Release Notes for Fluence v1.2

We are thrilled to announce the release of Fluence v1.2, marking another milestone in our journey to provide advanced insights into vaccination behavior with our web application. This update introduces several anticipated features and improvements, enhancing both functionality and user experience. Here's what's new and exciting in version 1.2:

What’s New in v1.2:

1. Methodology Section Added: As promised, we've introduced a comprehensive Methodology section that details our machine learning models and data analysis processes. This addition offers an in-depth look at how we generate predictions and insights, promoting transparency and trust in our application.

2. UI Improvements: We've made significant enhancements to the user interface of Fluence. The changes include a "wait for results" feature that provides a more engaging experience while predictions are being processed, an overall better look that enhances usability and aesthetics, and the addition of a footer. The new footer section improves navigation and offers quick access to our codebase and licensing information, making it easier for users to explore and understand the framework behind Fluence.

3. Contact Form Integration: To ensure our users can easily reach out with feedback, inquiries, or suggestions, we've added a contact form to Fluence.

Stay Tuned:

We deeply appreciate your support and feedback, which are vital to our continuous improvement and success. Follow our GitHub repository to stay updated on the latest developments. We are always here to listen and are eager to receive your feedback or suggestions.

Thank You for Your Continued Support!

Fluence v1.1

Release Notes for Fluence v1.1

We're excited to share the latest update to Fluence, enhancing our web application’s capabilities in predicting vaccination status with advanced machine learning models. With version 1.1, we’ve introduced new features and improvements that enrich user experience and provide deeper insights into vaccination behaviors. Here's what's new:

What’s New in v1.1:

Seasonal Flu Vaccine Prediction: Building on our H1N1 vaccine prediction feature, users can now also receive predictions on their likelihood of getting vaccinated against the seasonal flu. This dual-prediction capability offers a more comprehensive view of vaccination statuses.

Coming Soon:

Methodology Section: We’re putting the finishing touches on a detailed explanation of our machine learning models and the data analysis process. This forthcoming section will provide transparency on how we derive predictions and insights, ensuring our users have full confidence in the information provided.

Stay Tuned:

Our commitment to improving Fluence continues. We are diligently working on adding a footer section to the app for better navigation and resource accessibility. Your support and feedback fuel our progress, and we can’t wait to bring you more updates.

Follow our GitHub repository for the latest developments, and please don’t hesitate to reach out with feedback or suggestions. Your engagement is crucial to making Fluence an invaluable tool for understanding and improving vaccination behavior.

Thank You for Your Continued Support!

Fluence v1.0

Release Notes for Fluence v1.0

We are thrilled to announce the first release of Fluence, a web application designed to predict vaccination status for H1N1 using machine learning models. This initial version focuses on providing users with an interactive and informative experience, offering insights into the factors influencing H1N1 vaccination decisions. Below are the highlights and key features of this release:

Features

1. H1N1 Vaccine Prediction: Users can now input their demographics, health behaviors, and opinions to receive a prediction on their likelihood of getting vaccinated against H1N1.
2. Visualizations: Dive into our data with visualizations that shed light on the vaccination rates, opinions on vaccine efficacy, and other crucial factors affecting vaccine uptake.

Coming Soon

• Methodology Section: We're preparing a detailed explanation of our machine learning models and data analysis process. This section will offer transparency on how we derive predictions and insights.
• Seasonal Flu Vaccine Prediction: Work is underway to incorporate a predictive feature for the seasonal flu vaccine. This addition will enable users to understand their vaccination status for both H1N1 and the seasonal flu.

Stay Tuned

We are committed to enhancing Fluence with more features and comprehensive data analysis. Follow our GitHub repository for updates on upcoming releases, and don't hesitate to reach out with feedback or suggestions.

Thank you for your support, and we hope you find Fluence a valuable tool in understanding vaccination behavior!