📸 Screenshots

link to the live website : https://flashifydsa.adyamansingh.dev/

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🚀 Flashify DSA - Flashcard-Based Self Testing Tool for DSA

Flashify DSA is an interactive flashcard-based learning tool designed to help developers strengthen their problem-solving skills in Data Structures and Algorithms (DSA). It provides real-time feedback, hints, and performance analysis powered by OpenAI's GPT API.

🌟 Features

✅ Interactive Flashcards – Solve algorithmic problems with dynamic flashcards.
✅ Real-Time Feedback – Get instant feedback and hints for your submissions.
✅ Secure Authentication – Google OAuth 2.0 integration for secure user login and management.
✅ GPT-Powered Analysis – Analyze user submissions with OpenAI's GPT API, providing hints and time complexity analysis.
✅ Full CRUD Support – Create, update, and delete flashcards dynamically.
✅ Deployed on AWS – Hosted on an AWS EC2 instance for scalability and performance.

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🛠️ Tech Stack

• Frontend: React.js, Material-UI
• Backend: Node.js, Express.js
• Database: MongoDB
• Authentication: Google OAuth 2.0
• AI Integration: OpenAI GPT API
• Hosting: AWS EC2

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🚀 Getting Started

1. Clone the repository

git clone https://github.com/adyamans3/dsa-quiz.git

2. Install dependencies

To install dependencies:

npm run build
npm run start

3. Set up environment variables

Create a .env file in the backend folder:

PORT=5069
MONGO_URI=<your-mongodb-uri>
OPENAI_API_KEY=<your-openai-api-key>
GOOGLE_CLIENT_ID=<your-google-client-id>
GOOGLE_CLIENT_SECRET=<your-google-client-secret>

4. Run the backend and frontend

Start the backend:

cd backend
npm run start

Start the frontend:

cd frontend
npm run start

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🚦 Usage

1. Sign in using Google OAuth.
2. Choose a difficulty level (Easy, Medium, Hard).
3. Solve algorithmic problems using flashcards.
4. Submit answers to get real-time feedback and hints.
5. Review your progress and improve!

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🚀 Deployment

The application was previously deployed on an AWS EC2 instance.
👉 [Live Demo] https://flashifydsa.adyamansingh.xyz/

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📄 API Endpoints

Method	Endpoint	Description
POST	/model/submit-answer	Submits the answer and returns AI-generated feedback
POST	/auth/login	Handles user login via Google OAuth
GET	/questions/:difficulty	Fetches questions based on the selected difficulty

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👨‍💻 Author

Adyaman Singh
💼 LinkedIn
📧 adyamans3@gmail.com

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🌟 Acknowledgements

• OpenAI for the GPT API
• Google for OAuth 2.0
• AWS for deployment support

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📜 License

This project is licensed under the MIT License.