README.md

CVCompass: LLM-Powered Resume Review for Hiring Teams & Job Seekers

This project aims to address the limitations of traditional ATS (Applicant Tracking System) scanners while providing a more intelligent, user-centric solution for job seekers and hiring teams.

Checkout the demo : YouTube

How CVCompass will help?

It compares the candidate's resume with the specific job requirements and background fit needs and provides a more accurate analysis of the candidate's strengths and relevancy with the job requirement.

Some Quick Features (Beta Launch):

Different options for LLM: Our application relies on different large language models (currently: Llama3, DeepSeek r1) to review and score the candidate's strengths.

No Login Flow: Breaking the extra barrier between the user and the application. Get started instantly; no sign-up hassle.

Local Processing: As there's no user-centric database, most of your data is stored and managed from your cached memory.

Interactive Charts: Dynamic, interactive charts to visualize the candidate's strengths, weaknesses, and key insights to make quick decisions.

Personalized Feedback: Job description-specific feedback and recommendations to improve the candidate's performance.

Design System of the product:

Backend Server Files : Click here

Run your local development enviornment

Run the following command to build and start the application using Docker Compose:

docker-compose up --build

This will:

• Build the Docker image using the Dockerfile
• Install dependencies
• Start the application inside a container

Access the Application

Once the container is up and running, the application will be accessible at:

http://localhost:3000

Stopping the Application

To stop the running containers, use:

docker-compose down

Support the Project

If you find this project helpful, please consider giving it a star on GitHub! ✨