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/min...
Dataset: www.kaggle.com...
#xgboost #freecodecamp #krishnaik #streamlit #flasktutorial

[@MinichAnalytics]

1:00 - Importing libraries
1:55 - Creating Falsk app
4:18 - Creating homepage route
5:29 - Prediction route
17:21 - Creating html files
20:51 - Running Flask app
33:47 - Creating Streamlit app
46:36 - Running Streamlit app
54:55 - Whats up in next video

[@bhushansonawane5915]

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