• Bullying Detection: Detect potential bullying behavior in your tweets.
• User-Friendly Interface: Simple one-page HTML layout with responsive design for an intuitive user experience.
• TensorFlow.js Integration: Utilizes TensorFlow.js models for efficient natural language processing directly in the browser.

• TensorFlow.js: Empowers the project with machine learning capabilities for sentiment analysis.
• Arrow.js: Harnesses the power of Arrow.js for reactive programming within the static HTML page.
• CSS: Styling is done using CSS to create a visually appealing and user-friendly design.

To get started with "Is My Tweet Toxic?" follow these steps:

1. Clone the repository:

   git clone https://github.com/ArnavK-09/is-my-tweet-toxic.git

2. Open the index.html file in your preferred web browser.

3. Input your tweet and let the application check its toxicity.

1. Visit the deployed application or open the HTML file locally.

2. Enter your tweet in the designated text area.

3. Click the check button to receive feedback on the toxicity of your tweet.

4. The application will provide results ヾ⁠(⁠ ͝⁠°⁠ ͜⁠ʖ͡⁠°⁠)⁠ノ⁠♪

If you'd like to contribute to the project, Give it a star!.

Feel free to explore, analyze, and improve the way we communicate on social media. Happy tweeting responsibly!