Enhancing a Fuzzy Logic Classifier in a Flask App: A Live Coding Journey
Channel: BioniChaos
Date: 2024-01-11

- Real Time Biomedical Data Web App Development

Hi everyone, it's me! In this live stream, I delve into the complexities of fuzzy logic and its application in a web-based Flask app. I encounter challenges with the microphone setup and the streaming platform, but I persist in troubleshooting and refining the fuzzy logic classifier algorithm. The focus is on improving the detection of waveforms and noise, and I experiment with various membership functions and rules in fuzzy logic. Throughout the stream, I engage with debugging, code adjustments, and theoretical discussions, aiming to enhance the classifier's performance.

(00:21) Starting the live stream, troubleshooting initial issues.
(03:44) Discussing fuzzy logic and GPT-4's input on a punchline.
(05:21) Exploring the Flask app and its waveform generation.
(06:03) Addressing issues with the classifier algorithm.
(14:04) Consulting GitHub Copilot for fuzzy logic solutions.
(23:23) Exploring explainable AI and model design with GPT.
(34:03) Analyzing low output numbers in the fuzzy system.
(44:47) Considering different membership functions.
(53:47) Attempting to redesign the fuzzy logic model.
(62:16) Discussing the saturation of output numbers.
(71:20) Heavy troubleshooting and feature examination.
(84:35) Implementing suggested changes to the fuzzy logic rules.
(96:04) Testing the updated classifier algorithm.
(102:19) Wrapping up the stream with final thoughts.

#FuzzyLogic #FlaskApp #ClassifierAlgorithm #WaveformDetection #Debugging #MembershipFunctions #AI #GPT4 #GitHubCopilot #ExplainableAI #WebDevelopment #PythonCoding #LiveCoding #technologystream 

The tools I develop are available on https://bionichaos.com 
You can support my work on https://patreon.com/bionichaos