Job Fit Analyzer

Job Fit Analyzer is a web application designed to facilitate job seekers and recruiters in the hiring process. It includes features such as job posting, job application, profile management, and AI-powered job recommendations.

Project Structure

The project consists of a Next.js application that handles both the frontend and backend, with API interactions for core functionalities. Additionally, a Flask server is used exclusively to serve the endpoint for AI-powered job recommendations.

SQL Schema Diagram

User Types

• Admin
• Job Seeker
• Recruiter

Admin Features

• Full CRUD operations on:
  • Applications
  • Users
  • Jobs
  • Etc.

Job Seeker Features

1. Apply for a job.
2. View/Update Profile.
3. Create and edit their profiles with relevant information.
4. View Applications.
5. Upload CV/Resume.
6. Verify Email and Phone number.

Recruiter Features

1. Post a Job.
2. Manage job status and details.
3. View Applicants of the job.
4. Download applicant’s CV.
5. Accept or reject an application.

Job Search and Filters

• Implementing a job search functionality with filters for:
  • Location
  • Industry
  • Job type
  • And more.

Email Service with Brevo

• Application Submission:
  • Send confirmation email when a job seeker applies for a job.
• Application Acceptance:
  • Notify job seeker via email when their application is accepted.
• Application Rejection:
  • Notify job seeker via email when their application is rejected.

AI-Powered Job Recommendation and Search

• The AI system should analyze user preferences and job listings to provide personalized job recommendations.

Technologies & Libraries

Frontend and Backend (Next.js)

• React
• Next.js
• TypeScript
• Emotion
• Material UI
• Prisma
• NextAuth.js
• Nodemailer
• React Hook Form
• Day.js
• React Icons
• Sonner
• Zod
• Brevo (SendinBlue)

Python (Flask)

• Flask
• NumPy
• Pandas
• scikit-learn
• fuzzywuzzy

Getting Started

Ensure that you have the following:

• Node.js and npm
• MySQL
• Create brevo account, you'll need this for SMTP email services

1. Clone the project repository: Use Git to clone the project repository to your local machine.

   git clone https://github.com/M0Leo/job-fit-analyzer.git

2. Navigate to the Project Directory Change your current directory to the project folder.

   cd job-fit-analyzer

3. Set up environment variables:

   Simply add the environment variables in your application by creating a .env file based on the provided .env.example template and replacing the example values with your actual configuration.

4. Install project dependencies: Use npm to install the project dependencies specified in the package.json file.

   npm install

5. Prisma configurations & Database seeding

   npx prisma migrate dev

   Seeding the database

   npm run seed

6. Run Flask server

     npm run flask-dev
     # or
     npm run flask-prod

7. Run for development mode

   npm run dev

8. Build & Start for production mode

   npm run build
   npm run start