CULTIVATE SKILLS. GROW YOUR FUTURE.

An intelligent, gamified career development platform that predicts your best-fit tech career, builds a personalized roadmap, and keeps you accountable — all in one app.

Made by Charul Sahu | Hackathon Project 2025

streamlit run app.py

• Rate yourself on 10 skills (Python, SQL, ML, Web Dev, UI/UX, Communication, Problem Solving, Cloud, Data Analysis, Cybersecurity) using interactive sliders (0–10)
• scikit-learn ML model instantly predicts your best-fit career from 9 career paths
• Visual Career Readiness score shown as a progress bar
• Live Skill Radar chart (Plotly) updates as you move sliders
• Horizontal skill profile bars showing all 10 skill scores at a glance

• 10-step ordered roadmap for each of 9 career paths
• Every checkpoint has a YouTube resource link directly to the best free tutorial
• Check off tasks as you complete them — progress saves to your profile
• XP bar updates in real time — 200 XP = 100% roadmap completion
• Download your roadmap progress as part of the PDF report

• 25 hand-written MCQ questions per career (225 questions total across all 9 careers)
• Questions are randomized every session for fresh experience
• Flashcard-style: click A/B/C/D → instant green ✅ / red ❌ feedback
• +5 XP per correct answer — bonus XP saved to your profile
• Live score tracker: Questions answered, XP earned, Accuracy %
• Final results screen with grade: 🏆 Excellent / 👍 Good / 📚 Keep Learning

• Input your available hours per week → app auto-generates a week-by-week task calendar
• Each task has a hardcoded estimated duration (3–10 hours based on complexity)
• Calendar view shows colour-coded weekly load bars (green = manageable, amber = full, red = overloaded)
• Each scheduled task shows the YouTube link and time estimate inline
• Completed tasks marked ✅, pending tasks marked 📌
• Download your schedule as a .txt file
• Stats panel: Total pending hours, weeks needed, tasks remaining

• Real-time leaderboard showing all registered users ranked by XP
• Displays: Career path, Level, XP score (capped at 200), Streak
• Your own entry highlighted separately as (you)
• Medal emojis for top 3 positions 🥇🥈🥉

• XP = (Roadmap Progress % / 100) × 200 — always consistent with actual progress
• Level system: Level 1 → Level 2 as XP grows to 200
• Daily streak tracker: Fire emoji 🔥 shows consecutive days active
• Sidebar shows XP bar, streak pill, and level badge in real time
• Skill Challenge awards bonus XP on top of roadmap XP

• One-click PDF report generation using FPDF2
• Report includes: Username, Career Path, Level, XP, Streak, Progress %, all 10 skill scores, full roadmap checklist
• Unicode-safe: all special characters sanitized for PDF compatibility
• Download directly from the Export tab

• 24/7 career support chatbot embedded as a floating widget in the bottom-right corner
• Appears only after authentication — not visible on the login/register screen
• Powered by Chatbase (bot ID: Sl0q4y9ILFqIdK8szW1Gv)
• Injected via streamlit.components.v1 for proper script execution

• Secure username + password registration and login
• Passwords hashed with SHA-256 before storage
• SQLite WAL mode for concurrent access without locking
• Auto-migration: existing databases upgraded without data loss
• Session state preserves login across Streamlit reruns

• Python 3.10+
• pip

# Clone the repository
git clone https://github.com/yourname/skillforge-ai.git
cd skillforge-ai

# Install dependencies
pip install streamlit scikit-learn plotly fpdf2 pandas numpy requests --break-system-packages

# Run the app
streamlit run app.py

1. The SQLite database (skillforge.db) is created automatically on first launch
2. Register a new account on the Create Account tab
3. Start with the 🎯 Prediction tab — rate your skills and get your career prediction

skillforge-ai/
│
├── app.py                  # Main Streamlit application (single file)
├── skillforge.db           # SQLite database (auto-created)
├── model.pkl               # Trained scikit-learn model
├── README.md               # This file
└── requirements.txt        # Python dependencies

-- Users table
CREATE TABLE users (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    username TEXT UNIQUE NOT NULL,
    password TEXT NOT NULL,          -- SHA-256 hashed
    created_at TEXT DEFAULT CURRENT_TIMESTAMP
);

-- User stats & progress
CREATE TABLE user_stats (
    username TEXT PRIMARY KEY,
    career TEXT,
    xp INTEGER DEFAULT 0,
    level INTEGER DEFAULT 1,
    streak INTEGER DEFAULT 0,
    last_login TEXT,
    progress INTEGER DEFAULT 0,      -- Roadmap completion %
    completed_tasks TEXT DEFAULT '[]',
    skill_python INTEGER DEFAULT 5,
    skill_sql INTEGER DEFAULT 5,
    skill_ml INTEGER DEFAULT 5,
    skill_web INTEGER DEFAULT 5,
    skill_uiux INTEGER DEFAULT 5,
    skill_comm INTEGER DEFAULT 5,
    skill_prob INTEGER DEFAULT 5,
    skill_cloud INTEGER DEFAULT 5,
    skill_data INTEGER DEFAULT 5,
    skill_cyber INTEGER DEFAULT 5
);

-- Leaderboard
CREATE TABLE leaderboard (
    username TEXT PRIMARY KEY,
    career TEXT,
    xp INTEGER DEFAULT 0,
    progress INTEGER DEFAULT 0,
    streak INTEGER DEFAULT 0,
    level INTEGER DEFAULT 1,
    updated_at TEXT DEFAULT CURRENT_TIMESTAMP
);

XP = (Roadmap Progress % ÷ 100) × 200

0%   roadmap  →   0 XP   (Level 1)
50%  roadmap  → 100 XP   (Level 1)
100% roadmap  → 200 XP   (Level 2)

Skill Challenge Bonus: +5 XP per correct answer (capped at 200 total)

The chatbot is configured with bot ID Sl0q4y9ILFqIdK8szW1Gv. To use your own bot:

1. Create a bot at chatbase.co
2. Replace the script ID in app.py → render_app() function

Default: skillforge.db in the same directory as app.py. Change DB_PATH at the top of app.py.

"From lost to launched — that's SkillForge AI." ⚡