LeetCode Problem Analyzer & Tutor

This web application serves as an AI-powered tutor to help users analyze and understand LeetCode problems. By providing a LeetCode problem URL, users can get a detailed analysis, multi-language solutions, curated learning resources, and suggestions for similar problems. The application also features an interactive chat to discuss the problem with an LLM.

Key Features

• In-Depth Problem Analysis: Get a clear breakdown of the problem's core concepts and optimal approach.
• Detailed Explanations: A comprehensive walkthrough of the solution, including pattern analysis, intuition, and complexity analysis.
• Multi-Language Solutions: View optimal, well-commented solutions in Python, Java, and C++.
• Curated Resources: Access a list of high-quality, hard-to-find resources for deeper learning.
• Similar Problem Suggestions: Receive recommendations for similar problems to solidify your understanding.
• Interactive Chat Tutor: Ask clarifying questions and explore concepts in a floating chat window.
• Response Caching: Saves LLM responses to a local cache to speed up subsequent requests for the same problem.

Tech Stack

• Backend: Python 3.9+ with FastAPI
• Frontend: Vanilla HTML, Materialize CSS, and JavaScript
• LLM: Google Gemini
• Data Source: LeetCode's Public GraphQL API

Setup and Installation

Follow these steps to set up and run the project locally.

1. Clone the Repository

git clone https://github.com/999thelastpage/leetcodeHelper.git
cd leetcodeHelper

2. Set Up the Backend

a. Create a Virtual Environment:

It's highly recommended to use a virtual environment to manage Python dependencies.

# For Windows
python -m venv venv
venv\Scripts\activate

# For macOS/Linux
python3 -m venv venv
source venv/bin/activate

b. Install Dependencies:

Install all the required Python packages from the requirements.txt file located in the backend directory.

pip install -r backend/requirements.txt

c. Create the Environment File:

You need to provide your Google Gemini API key.

1. Navigate to the backend directory.

2. Create a new file named .env.

3. Add your API key to this file as follows:

   GEMINI_API_KEY="YOUR_API_KEY_HERE"
   GEMINI_MODEL_NAME="gemini-2.0-flash"
   

   Replace "YOUR_API_KEY_HERE" with your actual Gemini API key. Replace "gemini-2.0-flash" with your choice of Gemini model.

How to Run the Application

1. Start the Backend Server:

   Make sure you are in the root directory of the project (leetcodeHelper) and your virtual environment is activated. Run the following command:

   python -m uvicorn backend.main:app --reload

   The backend server will start, typically at http://127.0.0.1:8000.

2. Open the Frontend:

   Open the frontend/index.html file directly in your web browser. You can do this by right-clicking the file in your file explorer and selecting "Open with" your preferred browser.

3. Start Analyzing!

   You can now paste a LeetCode problem URL into the input field and start using the application.