Trace Thread

Trace Thread draws its name from the legendary tale where a thread helped navigate a complex maze, symbolizing the often convoluted journey junior tech professionals embark on during their job search.

Deployed site: https://tracethread.com

Core Objective

To provide a comprehensive platform for tech job seekers, particularly those at the early stage of their careers. It provides an advanced querying system for a nuanced job database search, robust data visualization to assist in matching roles to skillsets, and a machine learning mechanism to align job listings with applicants' resumes.

Technologies Used

• Backend: Python 3, Django
• Database: PostgreSQL
• Frontend: TypeScript, React
• Data Visualization: Matplotlib, Seaborn
• Machine Learning: scikit-learn

Features

• Advanced job search functionality powered by Python and Django.
• Comprehensive data visualization using Matplotlib and Seaborn to help applicants evaluate the roles aligning with their skills.
• Machine learning component employing scikit-learn tools to match job listings with applicant resumes.

Setup and Installation

1. Clone the repository

   git clone https://github.com/dinhbrandon/tracethread.git

   2.Setup Environmental Variables

   • Fill in the necessary environment variables in the .env file such as NODE_ENV, POSTGRES_USER, POSTGRES_DATABASES, POSTGRES_PASSWORD, and DATABASE_URL.

2. **Build and Run with Docker Compose

   • Ensure Docker is installed on your machine
   • CD into the project's directory where the docker-compose file is located
   • Build your docker containers by running the following:

     docker-compose build

3. Setting up the virtual environment and installing dependencies

   • This should all be automated in the Docker compose file when you build the container for the first time.
   • The file will install the requirements.txt and build containers for each of the services.

4. **Running the development server***

   • Starting the development server will expose the URLs for the front-end and back-end services
   • You can also find these ports in the docker-compose file in the project directory

     docker-compose up