Building a Fake News Detection API using RESTful principles involves creating an endpoint that receives a text input and responds with a prediction indicating whether the input is likely to be fake news or not. Below is a simplified outline of how you might structure such a project.
Here're some of the project's best features:
- Text Classification
- RESTful API Endpoints
- Input Validation
- Model Training Endpoint
- Model Evaluation Metrics
- Authentication and Authorization
- Ethical Considerations
1. Clone repo on your local machine
gh repo clone username/fake_news
2. Install requirements.txt
pip install -r requirements.txt
Thank you for considering contributing to our Fake News Detection project. Your contributions play a vital role in enhancing the accuracy and reliability of our system. To ensure a collaborative and positive environment. If you are contributing to the machine learning model document your approach hyperparameters and the evaluation metrics used. Share insights from your experiments.