DevConnect

Overview

DevConnect is a smart platform designed to bridge the gap between developers and recruiters. It empowers companies to post job openings and manage the entire application process seamlessly. Simultaneously, it provides developers with a user-friendly interface to apply for jobs and track their applications. The platform leverages AI to enhance the recruitment process, making it more efficient and effective for both parties.

Key Features

• AI-Assisted Job Matching: Helps developers discover jobs that perfectly match their skills and preferences.
• AI CV Customization: Allows developers to automatically tailor their CV to the specific requirements of a job posting.
• AI Candidate Shortlisting: Enables recruiters to intelligently shortlist the most qualified candidates based on their CVs.
• Automated Notifications: Keeps recruiters and candidates informed with automated emails for key events, such as application shortlisting.

Demos:

• Feature Demo (deployed on Azure)
• Integration, Building, Testing and Deployment
• Revamped UI (demo done locally due to issues with Azure)

Repositories

Updated Forks:

• Frontend
• Backend

Original Repos:

• Frontend
• Backend

Tech Stack

DevConnect uses microservices architecture with the following technologies:

Category	Technologies
Frontend	Next.js, Tailwind CSS, TypeScript
Backend	Node.js, Express.js
Database	PostgreSQL
AI Service	Google Gemini
Containerization	Docker
CI/CD	GitHub Actions
Testing	Jest, Cypress

Run

Prerequisites

The project needs Docker to run.

• Git
• Docker

Installation and Setup

1. Clone the repositories:

   git clone https://github.com/OitijhyaHoque/devconnect-back.git
   git clone https://github.com/OitijhyaHoque/devconnect-front.git

2. Navigate to the backend directory:

   cd devconnect-back

3. Create .env files:

   If this is your first time running the project, run the following script to create the necessary .env files from the provided samples:

   ./sample_env_creator.sh

   Important: You will need to manually set the following environment variables in the devconnect-back/services/ai-service/.env file:

   • GMAIL_USER: Your Gmail address for sending notifications.
   • GMAIL_APP_PASSWORD: Your Gmail App Password.
   • GOOGLE_API_KEY: Your Google API key for the Gemini AI service.

Running the Application

1. Start the application with Docker Compose:

   This command will build the Docker images (if they don't exist) and start all the services defined in the docker-compose.yml file. Run this command in the devconnect-back directory:

   docker compose up --build

2. Access the application:

   Once the services are up and running, you should be able to access the frontend at http://localhost:3000.

Stopping the Application

1. Stop the services:

   docker compose down

2. (Optional) Remove volumes:

   To remove the volumes along with the containers, use the -v flag. This will delete all the data stored in the volumes, such as database data.

   docker compose down -v