YouTube spam comments were annoying me, so I created a Chrome Extension to filter them out automatically.
Technologies used: JavaScript, Python, Flask, scikit-learn
Designed to enhance the browsing experience, this extension effectively tackles the persistent issue of comment spam on YouTube videos.
By leveraging advanced algorithms and machine learning techniques, the extension intelligently detects and filters out spam comments from the YouTube comment section. It analyzes the content of each comment, looking for patterns, keywords, and suspicious behavior commonly associated with spam. This ensures that users are spared from sifting through irrelevant and low-quality comments cluttering the discussion.
With the extension installed, users can easily identify and focus on genuine, relevant comments that contribute meaningfully to the conversation. This feature not only saves time but also improves the overall user experience by promoting engaging and constructive interactions.
EQUIPMENT I USE
⌨️ Keyboard: https://amzn.to/3tgO0le
🖱️ Mouse: https://amzn.to/45qLl5T
🖥️ Monitor: https://amzn.to/3PzgWw7
🎧 Headphones: https://amzn.to/3PE5C1S
🎤 Mic: https://amzn.to/3EX9lCx
🪑 Chair: https://amzn.to/3PDDlZ6
BOOKS I RECOMMEND:
📖 Clean Code: https://amzn.to/3rzjnqz
📖 The Singularity is Near: https://amzn.to/3RGjfjO
📖 Superintelligence: https://amzn.to/3M3Zz5R
📖 Deep Work: https://amzn.to/3tdDZFi
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00:00 - Intro
00:34 - Step 1: Designing the System
01:16 - Step 2: Getting and cleaning the data
01:59 - Step 3: Building the ML classifier
02:30 - Step 4: Creating the API
02:52 - Step 5: Creating the Chrome Extension
03:36 - Demo
#ai #coding #programming
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