Genie-for-AI-Study-Notes is an AI-powered assistant designed to streamline the study process for students. The goal is to help students efficiently manage and understand information from various sources, such as textbooks, PDFs, lecture notes, and online courses.
The AI assistant automatically summarizes complex materials, generates relevant questions, provides answers to specific queries, and highlights areas that need more focus. It optimizes study time, making learning more effective and less overwhelming. Our ultimate vision is to transform how students interact with their study materials, enabling efficient knowledge retention.
To create a comprehensive AI-powered study assistant that simplifies learning by integrating resources like textbooks, PDFs, and online content into a unified platform. Our tool aims to:
- Reduce the overwhelm of managing multiple resources.
- Personalize learning experiences.
- Optimize study time for students.
- All-in-One Integration: Handles diverse study formats seamlessly.
- Personalized Learning: Tailored feedback and recommendations based on individual needs.
- Active Engagement: Promotes active recall with interactive prompts.
- Comprehensive Study Companion: From summarization to self-testing, a complete solution.
- Backend: Built using Flask for responsive and user-friendly interaction.
- AI Models: Integrates state-of-the-art NLP models from Hugging Face for summarization, question generation, and answering queries.
- LangChain: Manages smooth interaction between models and APIs.
- Retrieval-Augmented Generation (RAG): Ensures contextually relevant outputs.
- Deployment: Hosted on AWS (EC2 for hosting, S3 for storage) and containerized using Docker for consistency and scalability.
- User Authentication: Secure account management (signup, login, logout).
- File Upload: Supports PDFs, DOCX, and TXT formats.
- Summarization: Generate concise or detailed summaries.
- Question Generation: Create quizzes for self-assessment.
- Answering Queries: Accurate responses using NLP models.
- Highlighting Key Sections: Auto-focus on important areas.
- Personalized Recommendations: Insights into areas needing improvement.
- Interactive Flashcards: For spaced repetition learning.
- Search Functionality: AI-powered content search.
- Multi-File Integration: Consolidate summaries across multiple documents.
- Downloadable Summaries: Export summaries as PDF files.
- Scalability: Supports 10,000+ concurrent users.
- Performance: AI responses within 2-3 seconds.
- Security: GDPR-compliant encryption for data.
- Availability: 99.9% uptime with AWS infrastructure.
- Usability: Responsive design for desktop and mobile.
- Extensibility: Future support for additional features like video and audio processing.
- File Management:
- "As a user, I want to upload multiple files at once to save time."
- "As a user, I want to view previous versions of uploaded files for restoration."
- Learning Features:
- "As a user, I want quizzes that adjust difficulty based on my performance."
- "As a user, I want flashcards generated for spaced repetition."
- Accessibility and Convenience:
- "As a user, I want to study on my mobile device."
- "As a user with disabilities, I want screen reader support."
For the full list of user stories, please refer to our Issues page.
- Model Accuracy vs Latency: Balancing accuracy and response time for optimal performance.
- Data Privacy: Ensuring robust encryption and compliance with privacy standards.
We welcome contributions from the community! Here's how you can help:
- Fork this repository.
- Create a branch (
git checkout -b feature-branch). - Commit your changes (
git commit -m "Add feature"). - Push to the branch (
git push origin feature-branch). - Open a Pull Request.
Please read our Contribution Guidelines for more details.
This project is licensed under the MIT License.
For questions or suggestions, please open an issue or contact us at eng.yahya.mohamed@gmail.com.
Happy Learning!