- Overview: A tool designed to identify knowledge gaps by analyzing quiz and event results.
- Functionality:
- Input: CSV or JSON files containing quiz results.
- Output: Graphs and analytical reports highlighting areas for improvement.
- Technologies Used: Python, Pandas, Matplotlib/Seaborn for data visualization.
- Overview: An intelligent chatbot capable of answering queries related to educational content.
- Functionality:
- Utilizes LangChain for conversational AI.
- Employs GROQ for querying data efficiently.
- Accuracy Measurement: The chatbot's accuracy is assessed based on its responses to user queries.
- Data Source: Data is sourced from reliable links, such as Wikipedia.
- Technologies Used: LangChain, GROQ, Python.
- Overview: A tool for creating flashcards based on study materials or quiz questions.
- Functionality:
- Generates flashcards automatically from input data.
- Supports customization of flashcard content.
- Technologies Used: Python, relevant libraries for flashcard creation (e.g., AnkiConnect for Anki integration).