Upward

A career guidance platform that helps students and young professionals identify the right path, build relevant skills, and make informed decisions about their future — personalized to where they are right now.

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Features

• Email-based registration with 6-digit verification code
• Secure password hashing with Werkzeug
• Session-based authentication with Flask-Session
• Animated onboarding landing page with swipeable info cards
• LinkedIn profile linking for personalized guidance
• Mobile-responsive UI across all pages

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Tech Stack

• Backend: Python, Flask, CS50 SQL
• Database: SQLite
• Frontend: HTML, CSS, Bootstrap 5
• Auth: Flask-Session, Werkzeug
• Email: Gmail SMTP via smtplib
• Deployment: Railway

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Getting Started

1. Clone the repo

git clone https://github.com/aissaadib/Upward.git
cd Upward

2. Install dependencies

python -m pip install -r requirements.txt

3. Set up the database

Make sure upward.db is in the root directory with a users table:

CREATE TABLE users (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    name TEXT,
    email TEXT,
    hash TEXT,
    skill TEXT
);

4. Configure email

In app.py, replace the SMTP credentials with your own:

SMTP_EMAIL = "your_email@gmail.com"
SMTP_PASSWORD = "your_app_password"  # Gmail App Password

To get a Gmail App Password: Google Account → Security → 2-Step Verification → App Passwords

5. Run locally

python app.py

Then open http://localhost:5000 in your browser.

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Deployment

This project is deployed on Railway.

Build command:

pip install -r requirements.txt

Start command:

gunicorn app:app

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Project Structure

Upward/
├── app.py                  # Main Flask application
├── requirements.txt        # Python dependencies
├── upward.db               # SQLite database
└── templates/
    ├── login.html
    ├── register.html
    ├── verify.html
    ├── onboarding.html
    └── index.html

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Roadmap

• AI Career Advisor with personalized roadmaps
• Future Risk Score based on automation trends
• Financial Resilience Score
• Skill Tree — visual map of what to learn next
• What-If Simulator for career scenarios
• Weekly Growth Plans
• Country and region salary comparisons
• Google OAuth login
• Portfolio analyzer (resume + GitHub + LinkedIn)

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License

MIT