PredictWellness
Empowering Wellness with AI-Driven Predictions. PredictWellness is a web application that leverages machine learning to predict potential diseases based on user input.
Created on 14th January 2025
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PredictWellness
Empowering Wellness with AI-Driven Predictions. PredictWellness is a web application that leverages machine learning to predict potential diseases based on user input.
The problem PredictWellness solves
PredictWellness simplifies disease prediction by analyzing user-provided health metrics. It empowers users to:
Identify potential health risks early.
Make informed decisions about seeking medical attention.
Promote preventive healthcare by offering insights based on their data.
This app makes health tracking accessible, helping users save time, effort, and potentially lives through early intervention.
Challenges I ran into
Deploying Machine Learning Models: Initial attempts to deploy the models faced memory limitations and compatibility issues on hosting platforms. Switching to Render solved these challenges.
Ensuring Accurate Predictions: Gathering high-quality datasets and tuning models to minimize false positives/negatives was a key hurdle. This was addressed through rigorous testing and hyperparameter optimization.
User Interface Design: Balancing a visually appealing design with ease of use was tricky. Iterative feedback loops helped refine the green-themed UI.
Technologies used