StudyBuddy.AI is a modular, intelligent study companion tailored for students. It automates learning tasks like summarization, code explanation, flashcards, and more using specialized AI agents.
The system includes the following 9 agents:
| Agent Name | Purpose |
|---|---|
Summarizer_Agent |
Summarizes documents or topics for quick review. |
Explainer_Agent |
Explains complex concepts in a simplified manner. |
Quiz_Generator_Agent |
Creates practice quizzes from topics or materials. |
Definition_Lookup_Agent |
Looks up definitions of technical terms. |
Translator_Agent |
Translates study content into different languages. |
FlashCard_Generator_Agent |
Generates flashcards for active recall. |
Math_Solver_Agent |
Solves and explains math problems step-by-step. |
Code_Explainer_Agent |
Explains and debugs source code in various languages. |
Study_Schedular_Agent |
Builds personalized study plans from goals/files. |
Research_Assistant_Agent |
Summarizes credible sources for research. |
- Modular agent architecture (easy to add/replace)
- Input support: direct text or uploaded files (
.pdf,.docx,.txt,.py, etc.) - LLM-powered for contextual, high-quality responses
- CS-student-centric use cases
- Ideal for self-learners, university students, and bootcampers
- Python
- Langchain (Agents + Tools)
- OpenAI / LLM integration
- File parsing libraries (PyMuPDF, python-docx, etc.)
📄 License MIT License
🤝 Contributions are welcome! Feel free to open issues or submit pull requests to improve StudyBuddy.AI.
