Course code: CSE4022

Course Name: Natural Language Processing

https://resumescreenernlp.streamlit.app/

One of the biggest obstacles recruiters face in the ever-changing talent acquisition landscape is the laborious effort of manually sorting through a vast number of resumes. In this deluge of data, recruiters frequently struggle with the need to quickly and accurately identify the most suitable prospects.

In this project, we examine the urgent need to automate the screening of resumes and the numerous advantages that come with using NLP-powered systems. Recruiters may improve the accuracy of candidate evaluation, considerably cut down on the time and expense of manual resume screening, and optimise their workflow by utilising natural language processing (NLP).

1. Clone the Repository: Open a terminal or command prompt and use the following command to clone the Streamlit project.

   git clone https://github.com/priyanka-111-droid/Resume_Screener_NLP.git

2. Navigate to the Project Directory: Change your working directory to the newly cloned project.

   cd Resume_Screener_NLP

3. Install Dependencies: Use pip to install the project dependencies listed in the requirements.txt file.

   pip install -r requirements.txt

4. Run the Streamlit App: Streamlit apps are typically run using the streamlit run command followed by the name of the Python script that contains your Streamlit app.

   streamlit run app.py

5. Open the Streamlit App in Your Browser: After running the command, Streamlit will provide a local URL (usually http://localhost:8501). Open this URL in your web browser to interact with your Streamlit app.