Job Portal Web Application

A modern job portal built with Next.js and Supabase. Companies can post jobs and manage applicants. Applicants can apply with a resume and cover letter, which are analyzed and scored using an integrated AI microservice.

Technologies Used

• Next.js (React framework)
• Tailwind CSS (UI styling)
• Supabase (Database, Auth, Storage)
• FastAPI microservice for resume/job analysis
• Google Gemini API (AI scoring and summaries)

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Getting Started

1. Clone the Repository

git clone https://github.com/Sseankzs/openprofile
cd openprofile

2. Install Frontend Dependencies

npm install

3. Configure Environment Variables

Create a .env.local file in the root directory:

NEXT_PUBLIC_SUPABASE_URL=https://your-project.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=your-anon-key
NEXT_PUBLIC_SITE_URL=http://localhost:3000

You can get these keys from your Supabase project dashboard. Or you may contact sseankong52@gmail.com for the supabase url and key to the existing prototype database

4. Run the Development Server

npm run dev

Visit http://localhost:3000 in your browser.

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Resume & Job Scoring Microservice

This app integrates with a separate Python microservice that analyzes resumes, cover letters, and job descriptions using the Google Gemini API.

Microservice Repository

Clone the analyzer from:

https://github.com/Sseankzs/ApplicantAnalyzer

1. Install Python Dependencies

pip install fastapi uvicorn python-multipart pdfplumber google-generativeai python-dotenv

2. Set Up Environment Variables

Create a .env file in the root of the microservice project and add your Google API key:

GOOGLE_API_KEY=your-google-gemini-api-key

3. Start the API Server

uvicorn gemini_applicant_analyzer:app --reload --port 8000

The service will be available at http://localhost:8000.

4. Optional: Test the API with curl

curl -X POST http://localhost:8000/analyze_candidate \
  -F "resume=@sample_resume.pdf" \
  -F "cover_letter=@sample_cover_letter.pdf" \
  -F "job_description=$(cat sample_job_description_1.txt)$"

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Notes

• Make sure the microservice is running locally before testing applications in the frontend.
• Authentication is handled by Supabase; users select their role (Applicant or Company) during signup.
• Files like resumes and profile images are stored using Supabase Storage.

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License

MIT License