AI’m Right

AI’m Right simplifies the study process by providing tools for quiz generation, lecture handouts, and video content search using cutting-edge AI technologies. This project was submitted during SBHacksIX.

• Youtube Demo
• DevPost Link

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Features

• Smart Quiz Generation: Generate customized quizzes based on your lecture content.
• Handout Creation: Summarize lecture materials into concise and easy-to-digest handouts.
• Lecture Video Search: Quickly locate specific topics or concepts in large video archives.

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Tech Stack

• Frontend: Streamlit for a user-friendly interface.
• Backend: Flask for robust server-side operations.
• APIs: Claude, Pinecone, Aryn, Twelve Labs for advanced processing and data management.
• Database: Pinecone Vector Database for scalable data retrieval.

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Installation

Prerequisites

• Python 3.8 or higher.
• Install dependencies with pip:

  pip install -r requirements.txt

Setting up Environment Variables

1. Create a .env file in the root directory of the project.
2. Add the following API keys:

   CLAUDE_API="<your-claude-api-key>"
   ARYN_API_KEY="<your-aryn-api-key>"
   PINECONE_API_KEY="<your-pinecone-api-key>"
   TWELVE_LABS_KEY="<your-twelve-labs-key>"
   INDEX_ID="<your-index-id>"

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Running the Application

Backend

Start the Flask server:

python server.py

Frontend

Start the Streamlit app:

streamlit run main.py

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Usage

1. Open your browser and navigate to http://localhost:8501 (Streamlit default port).
2. Use the following features:
   • Quiz Generation: Upload lecture materials or paste content to generate quizzes.
   • Handout Creation: Provide lecture notes to generate summarized handouts.
   • Video Search: Upload video files to search for specific topics or concepts.

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Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a feature branch (git checkout -b feature-name).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature-name).
5. Open a pull request.

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License

This project is licensed under the MIT License.

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