Abuse Detection

Abuse Detection project is a powerful and accurate web application that employs Python, Flask, and React to detect abusive content in usergenerated text. Leveraging state-of-the-art machine learning algorithms, the model boasts an impressive accuracy rate of 95%, making it a reliable tool for maintaining a safe and respectful online environment.

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Is that A threat or something else?

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Dont worry Our project can help you find if someone is threatning you and even more...

Getting Started

Instructions on setting up your project locally. To get a local copy up and running follow these simple steps.

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Installation

1. Clone the repo into your desired directory

   git clone https://github.com/Sourabh-Bharale/abuse-detection.git

2. Set up virtual env for python

    cd server
    python -m venv venv
    .\venv\Scripts\activate

3. install the necessary dependencies for python

   pip install flask flask-pymongo flask_cors scikit-learn

Environment Variables

This projects stores and collects data on mongodb for furthur versions & improvements
you can create your own database and use it inside /server/.env CONNECTION_STRING = YOUR_DATABASE_URL

4. Start Flask server at localhost:5000/data

   python application.py

5. Install dependencies (only the first time)

   cd ../
   npm install

6. Run the local server at localhost:3000

   npm run start

   Now you are good to go 🚀

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You can try out the app from http://localhost:3000 and View the Data on http://localhost:5000/data