ALGOPro - AI-Powered DSA Learning Platform

ALGOPro is an intelligent learning platform that transforms how students master Data Structures and Algorithms through AI-generated personalized content, adaptive quizzes, and real-time assistance.

🎯 Problem Statement

Students face critical challenges in self-directed learning:

• Complex concepts are difficult to grasp without personalized explanations
• Online searches yield irrelevant or overly advanced results
• Teachers are unavailable 24/7 for immediate doubt resolution
• Static quiz banks lead to memorization rather than understanding
• Fragmented tools waste time switching between platforms

✨ Solution Overview

ALGOPro addresses these challenges through:

Feature	Description
🤖 AI Tutor	Explains concepts in Beginner/Intermediate/Advanced terms
📝 Dynamic Quizzes	Unlimited AI-generated questions prevent memorization
💻 Code Analysis	Instant debugging help and optimization suggestions
📊 Progress Tracking	Visual analytics identify strengths and weaknesses
🎥 Video Integration	Curated content with AI-powered explanations

🚀 Live Demo

Deployed Application: https://algopro.onrender.com

🛠️ Tech Stack

Backend

• Python 3.8+ - Core language
• Flask - Web framework
• OpenRouter API - LLM integration (GPT-OSS-120B)
• Markdown - Content rendering

Frontend

• HTML5 + Jinja2 - Templating
• Bootstrap 5 - Responsive UI
• Chart.js - Data visualization
• Highlight.js - Code syntax highlighting

AI Integration

• Multi-pattern regex parser - Handles diverse LLM outputs
• Dynamic prompt engineering - Context-aware quiz generation
• Response sanitization - XSS protection

📁 Project Structure

ALGOPro/

  ├── app.py                      # Main Flask application
  ├── requirements.txt            # Python dependencies
  ├── .env                        # Environment variables (not in repo)
  ├── .env.example                # Environment template
  ├── .gitignore                  # Git ignore rules
  ├── data/
  │   ├── dsa_content.json        # Topic structure & metadata
  │   └── quiz_templates.json     # Quiz generation templates
  ├── templates/                  # Jinja2 HTML templates
  │   ├── base.html
  │   ├── index.html
  │   ├── topic.html
  │   ├── quiz.html
  │   ├── practice.html
  │   └── generate_quiz.html
  └── static/
  ├── css/style.css          # Custom styles
  └── js/main.js             # Client-side logic

⚙️ Installation & Setup

Prerequisites

• Python 3.8 or higher
• Git
• OpenRouter API key (Get one free)

Local Setup

1. Clone the repository

   git clone https://github.com/YOUR_USERNAME/ALGOPro.git
   cd ALGOPro
   

2. Create virtual environment python -m venv venv

   Windows- venv\Scripts\activate

   Mac/Linux- source venv/bin/activate

3. Install dependencies pip install -r requirements.txt

4. Configure environment variables cp .env.example .env Edit .env file: OPENROUTER_API_KEY=sk-or-v1-your-actual-key-here FLASK_SECRET_KEY=your-random-secret-key-here

5. Run the application python app.py

6. Open in browser http://localhost:5000

🧠 Core Algorithm: LLM Response Parser The platform's robustness comes from a multi-layer parsing strategy: # 1. Multi-pattern question segmentation patterns = [

      r'Question \d+:',      # "Question 1:"
      r'Q\d+:',              # "Q1:"
      r'#{1,3} Question',    # "### Question 1"
      r'\*\*Question',       # "**Question 1**"
      r'\d+\.'               # "1. What..."

]

2. Code block preservation Extract code → placeholders → parse → restore

3. Component extraction Question text → Options → Correct answer → Explanation

4. Validation & auto-repair Ensures 4 options, infers missing answers, fills placeholders

Success Rate: Handles 95% of LLM output variations. 📊 Features in Detail

AI-Generated Quizzes

• Unlimited unique questions per topic
• Adaptive difficulty (Easy/Medium/Hard/Mixed)
• Instant feedback with detailed explanations
• Progress tracking across attempts

AI Learning Assistant

• Real-time concept explanations
• Three difficulty levels
• Code snippet examples
• Table and list formatting

Code Analysis Tool

• Paste code for instant review
• Bug detection and fixes
• Optimization suggestions
• Syntax highlighting

Practice Problems

• 50+ curated LeetCode problems
• Filter by category and difficulty
• Direct links to solve
• Local progress tracking

#.🔒 Security Measures

  ✅ API keys stored in environment variables
  ✅ .env excluded from Git (.gitignore)
  ✅ HTML escaping for XSS prevention
  ✅ Session-based user state management
  ✅ No sensitive data in client-side code