Resumix - AI Resume Analyzer

Production-oriented Django + DRF application for resume-to-job matching and role prediction, now delivered through a Django template UI (no separate React frontend required).

Live Site

• https://resumix-ygb9.onrender.com/

Stack

• Python 3.11+
• Django 5 + DRF
• PostgreSQL
• JWT auth (simplejwt)
• spaCy + NLTK + scikit-learn
• pdfplumber + python-docx
• Celery + Redis ready

1. Setup Backend

1. Open terminal at C:\Users\swarn\OneDrive\Desktop\Resumix.
2. Activate env:
   • PowerShell: newenv311\Scripts\Activate.ps1
3. Install dependencies:
   • pip install -r requirements.txt
4. Create env file:
   • copy .env.example to .env
5. Download NLP resources:
   • python -m nltk.downloader stopwords punkt
   • python -m spacy download en_core_web_sm
6. Create PostgreSQL database (resume_db) and update .env credentials.
7. Run migrations:
   • python manage.py makemigrations
   • python manage.py migrate
8. Create admin user:
   • python manage.py createsuperuser
9. Start backend:
   • python manage.py runserver
10. Open app UI:

• http://127.0.0.1:8000/

Suggestions Engine

Suggestions are generated by built-in rule-based logic from:

• missing skills
• ATS compliance score
• experience relevance score

2. Train ML Model

1. Ensure backend dependencies are installed.
2. Run:
   • python ml\training\train_model.py
3. Generated artifacts:
   • ml\artifacts\tfidf_vectorizer.pkl
   • ml\artifacts\role_classifier.pkl
   • ml\artifacts\label_encoder.pkl

3. Main API Endpoints

• POST /api/auth/register/
• POST /api/auth/login/
• POST /api/auth/refresh/
• POST /api/resume/upload/
• POST /api/resume/analyze/
• GET /api/resume/history/
• GET /api/admin/users/
• GET /api/admin/stats/

4. Scoring Formula

Final Score = (Keyword Similarity * 0.4) + (Skill Match * 0.3) + (Experience Relevance * 0.2) + (ATS Compliance * 0.1)

5. Swagger Docs

• GET /api/docs/

6. Production Deployment (Quick)

1. Install/upgrade dependencies:
   • pip install -r requirements.txt
2. Set production env values (use .env.example as template):
   • DJANGO_DEBUG=False
   • DJANGO_ALLOWED_HOSTS=<your-domain>
   • DJANGO_CSRF_TRUSTED_ORIGINS=https://<your-domain>
   • DATABASE_URL=<managed-postgres-url> (or fill POSTGRES_*)
3. Apply migrations:
   • python manage.py migrate
4. Collect static files:
   • python manage.py collectstatic --noinput
5. Start app server:
   • gunicorn resume_analyzer.wsgi --log-file -

Procfile is included for platforms that auto-detect process startup.