Toxi-meter

😒 A web app which detects if a user on reddit has posted a toxic comment or not! 🧐

Technologies used:

• React (create-react-app) for the front end.

• Python-Django for the backend server side.

• Urllib3 and BeautifulSoup for web scraping. Optionally selenium module included.

• Tensorflow 2.3.0 with the Keras syntax for the model training and predictions.

To run:

• Clone and cd into the repo.

git clone https://github.com/k4u5h4L/Toxi-meter.git && cd Toxi-meter

• Cd into the client and install the required dependencies

cd client && npm install

• Install the dependencies from the requirements.txt file

cd ../server/ && pip install -r requirements.txt

• Run the Django server.

python manage.py runserver

• In another terminal, run the front end React client.

npm start

• Now visit the location localhost:3000 to visit the site.

Note:

• This project is made as a hobby and is NOT a commercial application.

• Any contribution is welcome. You can fork and submit a pull request.

• The dataset is got from kaggle from this page by Zafar. Please download the dataset and unzip the csv file in this file path data/toxic-comments/train_preprocessed.csv to train the model yourself.