Grimoire Guide is an AI powered book recommendation system which leverages statistical machine learning, data science and NLPconcepts to recommend the best books to the users. Just provide a plot or description, and it will do the rest of the job for you.
1. Clone the repository:
Use the command given below in the git bash terminal:
git clone https://github.com/adityapradhan202/Grimoire-Guide.git
2. Install the dependencies:
Open a new terminal in the project folder and type this command:
pip install -r requirements.txt
3. Run the app:
In the terminal of the project folder type this command to run the app on local host:
streamlit run app.py
Grimoire-Guide uses a simple concept of 'cosine similarity', which is available in scikit-learn. We can convert two separate texts into vectors or numbers and then we can use the concept of cosine similarity to see how similar the two texts are.
This is more like a practice project to understand and implement the concept of cosine similarity. Further, we can code neural networks on bigger dataset and create more robust ML application.
It would be great if you could contribute to and improve 'Grimoire-Guide'. Please create a separate feature branch with your own code and submit a pull request. If your code adds value to the project, your pull request will be reviewed and accepted. 😊