AiCruit is a full-stack AI-powered recruitment platform that streamlines the hiring process.

• Figma Designs:
  • AiCruit Main Design
  • Design 1
  • Design 2

• Database Diagram

• Rails Multi-tenancy Guide

• Ruby on Rails Documentation
• Next.js Documentation
• PostgreSQL Documentation

• Backend: Ruby on Rails (API-only)
• Frontend: Next.js
• Microservices: Python

Clone the repository:

git clone git@github.com:joshsoftware/aicruit.git

aicruit/
├── aicruit-api     # Ruby on Rails backend (API-only)
├── app             # Next.js frontend
└── service         # Python-based microservices

Please use the dev branch for all development work.
Make sure to branch off from dev and open pull requests into dev.

• Ruby version: 3.3.2 (RVM recommended)
• Rails version: 7.2.2
• PostgreSQL: 12+

1. Navigate to the backend directory:

   cd aicruit/aicruit-api

2. Create .env file (refer to .env.example for required variables)

3. Install dependencies:

   bundle install

4. Set up the database:

   rails db:create
   rails db:migrate
   rails db:seed

5. Start the Rails server:

   rails s

The Rails API will be available at http://localhost:3000

• Node.js 18+
• npm

1. Navigate to the frontend directory:

   cd aicruit/app

2. Create .env.local file (refer to .env.example if available)

3. Install dependencies:

   npm install

4. Run the development server:

   npm run dev

The frontend will be available at http://localhost:5173

1. Open a terminal window

2. Edit the hosts file with root permissions:

   sudo nano /etc/hosts

3. Add the following line at the end of the file:

   127.0.0.1    joshsoftware.aicruit.com
   

4. Save and exit the editor

5. Test the configuration:

   ping joshsoftware.aicruit.com

6. Access the frontend using the custom domain:

   http://joshsoftware.aicruit.com:5173
   

This setup allows you to access your local development environment using the custom domain, which is essential for testing multitenancy features. For the frontend application, replace http://localhost:5173 with http://joshsoftware.aicruit.com:5173 in your browser.

Pre-requisite: Note: Following instructions a for linux, python 3.8.1 or above

sudo apt-get update
sudo apt-get install python3.8.1

ffmpeg

sudo apt update && sudo apt install ffmpeg

Ollam

For Linux:

 curl -fsSL https://ollama.com/install.sh | sh

For Mac:

https://ollama.com/download/Ollama-darwin.zip

For Windows:

https://ollama.com/download/OllamaSetup.exe

Llama 3.2 model

 ollama run llama3.2

Setup Clone this github repository git clone

Create python virtual environment

python3 -m venv lingo .

Activate the virtual environment

source lingo/bin/activate

Install dependencies

pip install -r requirements.txt

uvicorn main:app --host localhost --port 8000 --reload