Building Web Applications for Predicting Battery Life with Streamlit and Flask 

In this video, we demonstrate how to create web applications for predicting the remaining useful life of a battery using both Streamlit and Flask. Key highlights include building independent applications with each framework, showcasing their unique features, and demonstrating how they can be used to provide real-time predictions based on user input. This video offers clear, step-by-step guidance on leveraging Streamlit and Flask to develop powerful and interactive web applications for machine learning models.
Github repo: github.com/minich-code/batter...
Dataset: www.kaggle.com/datasets/ignac...
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