🧩 DSA Whisper — Beginner-Friendly AI Tutor for Data Structures & Algorithms

DSA Whisper is an interactive AI tutor app built using Streamlit and Groq API that helps beginners learn Data Structures and Algorithms (DSA) step-by-step.
The app provides clear explanations, Python code examples, practice questions, and personalized guidance.

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🚀 Features

• Topic Selector: Choose from a variety of DSA topics.
• Difficulty Levels: Beginner, Intermediate, Advanced.
• Learning Modes: Concept Explanation, Step-by-Step Example, Practice Questions, Visual Intuition.
• AI Chat Tutor: Ask any DSA/Python question and get explanations with Python code.
• Progress Tracker: Visual tracker for topics completed.
• Tips of the Day: Quick, helpful learning tips.
• Resources Section: Quick links to GitHub repo, notes, and Python basics.

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🛠️ Tech Stack

• Languages: Python
• Frameworks: Streamlit
• AI/ML: Groq API (LLaMA-based model), Python code examples
• Data: JSON for topics
• Tools: Git, GitHub, Google Colab

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📁 Project Structure

DSA-Whisper/ ├── app.py # Main Streamlit app

├── topics.json # JSON file containing DSA topics and examples

├── requirements.txt # Required Python packages

└── README.md

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⚡ How to Run Locally

1. Clone the repo:

git clone https://github.com/Bano733-code/DSA-Whisper.git
cd DSA-Whisper ```

2.Install dependencies:

pip install -r requirements.txt

3.Set your Groq API key in secrets.toml or environment variables.

4.Run the app:

streamlit run app.py

🎯 Future Enhancements Add more topics and advanced DSA problems

Integrate more AI-powered visualization for algorithms

Add user authentication and save progress

📫 Connect

GitHub: Bano733-code

LinkedIn: https://www.linkedin.com/in/bano-rani-228b76334/

Made with ❤️ using Streamlit + Groq API