This project predicts whether a tweet indicates suicidal intention. It uses a machine learning model(Support Vector Classification) trained on a dataset of tweets that have been labeled as either suicidal or not suicidal.

The Dataset is contains twitter contents.

Dataset link: https://raw.githubusercontent.com/laxmimerit/twitter-suicidal-intention-dataset/master/twitter-suicidal_data.csv

• Python 3.6 or later
• NumPy
• Pandas
• Scikit-learn
• FastAPI
• Pydantic

To install the project, run the following command:

pip install -r requirements.txt

To use the project,

• First run the main.py file.
• Visit FastAPI/SwaggerUI page: http://127.0.0.1:8000/docs
• Click on "Try it out" button on the POST/predict Predict Label section
• Replace the "string" with any of your tweet or any sentence
• On the response section it will display whether prediction 1 or 0

This is how it will look:

Contributions are welcome! Please open an issue or pull request if you have any ideas for improvements.

This project is licensed under the MIT License.