Elevo

Elevo is an AI-powered placement preparation platform built with Django. It combines coding practice, aptitude preparation, social learning, and resume-driven mock interviews in one system.

Live Demo: https://elevo.13.51.206.127.nip.io

Core Features

• Coding practice with problem lists, submissions, and tutor-managed content
• Aptitude module with categories, topics, practice sets, and quiz sessions
• AI mock interviews with Technical and HR tracks
• Resume analysis with ATS-style score, breakdown, and improvement suggestions
• Interview reports with transcript and performance insights
• User system with student/tutor/admin roles and profile management
• Social feed (posts, comments, likes, repost/share, follow)

Tech Stack

• Backend: Django 5
• Database: PostgreSQL (production-ready)
• AI: Gemini with OpenAI fallback
• Frontend: Django templates + Tailwind-style utility classes

Local Setup

1. Clone and enter project:

git clone https://github.com/Pinkesh2905/Elevo.git
cd Elevo/elevo

2. Create and activate virtualenv:

python -m venv ..\\.venv
..\\.venv\\Scripts\\activate

3. Install dependencies:

pip install -r requirements.txt

4. Configure .env (example):

SECRET_KEY=your_secret
DEBUG=True
ELEVO_ENV=development
DATABASE_URL=postgres://postgres:password@localhost:5432/Elevo
GEMINI_API_KEY=your_gemini_key
OPENAI_API_KEY=your_openai_key
AI_PROVIDER=gemini
APTITUDE_DATA_DIR=private_data/aptitude
PRACTICE_DATA_DIR=private_data/practice
ELEVO_CONTENT_CSV=private_data/elevo_content.csv

5. Run migrations and start:

python manage.py migrate
python manage.py seed_subscription_plans
python manage.py runserver

Environment Profiles

Elevo now supports explicit settings profiles:

• ELEVO_ENV=development -> elevo.settings_development
• ELEVO_ENV=staging -> elevo.settings_staging
• ELEVO_ENV=production -> elevo.settings_production

Use optional feature flags to control the sales demo path:

SALES_DEMO_MODE=True
SHOW_SOCIAL_IN_SALES_DEMO=False
ENABLE_CHAT=True

Use optional media serving override only for local/insecure environments:

SERVE_MEDIA_INSECURE=False

Data Privacy (Important)

• This repository keeps only sample datasets:
  • data/*_sample.csv
  • practice_data/*_sample.csv
  • elevo_content_sample.csv
• Real production datasets must stay outside Git in a private location.
• Set private paths in .env:

APTITUDE_DATA_DIR=private_data/aptitude
PRACTICE_DATA_DIR=private_data/practice
ELEVO_CONTENT_CSV=private_data/elevo_content.csv

Import commands:

python manage.py import_aptitude_data
python manage.py import_problems --clear
python manage.py import_csv

The commands first use private files (*.csv) and automatically fall back to sample files (*_sample.csv) if private files are not present.

Production Notes

• Set DEBUG=False
• Use managed PostgreSQL and set DATABASE_URL
• Set secure SECRET_KEY and allowed hosts
• Configure deployment host values, for example:

ELEVO_ENV=production
ALLOWED_HOSTS=elevo.life,www.elevo.life
DOMAIN_NAME=elevo.life
CSRF_TRUSTED_ORIGINS=https://elevo.life,https://www.elevo.life

• Run:

python manage.py migrate
python manage.py check --deploy
python manage.py collectstatic --noinput

Legal draft endpoints:

• /privacy-policy/
• /terms-of-service/
• /data-processing-addendum/

Repository

Main remote: https://github.com/Pinkesh2905/Elevo.git