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Fluence v1.0

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@pratiksha-naikk pratiksha-naikk released this 29 Mar 03:06
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v1.0
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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!

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