Credibot

A machine learning application that determines the credibility of a social media post given its source for example Facebook or Instagram and it's content.

Tools used to build the application

• Python
• Pipenv
• Numpy
• NLTK
• SKLearn

Running the app locally on your machine

1. Make sure you have Python installed, specifically Python version 3.9 as it is the one used in this project. You can check if python is installed using python --version. This will display the version of Python installed. For instructions on how to install Python, visit this website.
2. Make sure you have Pipenv install. Pipenv is the package manager and virtual environment manager used in this project. You can check if Pipenv is installed using pipenv --version. This will display the version of Pipenv install. For instructions on how to install Pipenv, visit this website.
3. Clone this repository by running the command below:

git clone https://github.com/chiroro-jr/credibot-ml-backend.git

4. Change into the project folder using the command cd credibot-ml-backend
5. Run pipenv install to create a virtual environment and install project dependencies
6. Run pipenv shell to activate the newly created virtual environment
7. Run uvicorn app.main:app --reload to start the backend application. Now you can send requests to the app using your favorite HTTP client.