AlgoDash [WORK IN PROGRESS, GITHUB MIGHT NOT ALWAYS BE UPDATED]

A personalized DSA & competitive programming dashboard that guides without giving shortcuts.

Overview

AlgoDash is a web-based dashboard that aggregates competitive programming data from multiple platforms and provides personalized insights, problem recommendations, and AI-guided feedback—without ever revealing solutions or code.

Unlike traditional DSA tools that optimize for speed or output, AlgoDash is designed to preserve real problem-solving ability while still offering structured guidance.

Key Features

Unified Performance Dashboard

• Visualizes stats from LeetCode, Codeforces, and CodeChef (at least one required)

Weakness-Driven Recommendations

• Suggests problems and contests based on topic/tag gaps instead of random practice

AI-Powered Daily Feedback (No Solutions)

• Reflect on failed submissions
• Makes you rethink approaches
• Get concept-level guidance
• Helps set concrete, time-bound goals

Learning-First Chatbot

• The chatbot never reveals solutions or code—only reasoning help and conceptual nudges

Tech Stack

Backend

• Flask
• Groq API (AI inference)
• Supabase (Auth + Database)

Frontend

• Jinja templates
• HTML / CSS

Data Sources

• Codeforces (official)
• LeetCode, CodeChef, GFG (via third-party APIs)

⚠️ The api/ directory is not included by default and must be set up manually (see below).

Setup Guide

1. Clone the AlgoDash repository

git clone https://github.com/Aruniaaa/AlgoDash
cd AlgoDash

2. Create a virtual environment & install dependencies

python -m venv venv
source venv/bin/activate
venv\Scripts\activate      # Windows

pip install -r requirements.txt

3. Environment Variables

Create a .env file in the root directory and add:

SUPABASE_URL=your_supabase_url
SUPABASE_KEY=your_anon_key
SUPABASE_SERVICE_KEY=your_service_role_key

GROQ_API_KEY=your_groq_api_key

SECRET_KEY=your_flask_secret_key

Note: AlgoDash uses two Supabase clients:

• Public (anon key) for safe reads
• Service role key for secure inserts/updates (feedback, timestamps)

4. Run the application

cd leetcode-codechef-api
npm start


python views.py

The app will be available at:

http://localhost:5000

Important Design Decisions

No AI Solutions — By Design

AlgoDash intentionally blocks:

• Code generation
• Full solutions
• Direct answers

This is not a limitation—it’s the core philosophy.

The AI assists with how to think, not what to write.

Caching Strategy

To reduce repeated API calls and improve load times:

• Flask-level caching is used for frequently accessed stats

This significantly improves dashboard responsiveness.

Known Limitations

• CodeChef API restrictions limit detailed data access → Feedback is generated using aggregated performance instead
• Requires at least one connected platform profile

Contributing

Contributions are welcome, especially around:

• API integrations
• UI/UX improvements
• Analytics depth

Please open an issue before submitting major changes.

License

All rights reserved.