Скачать или смотреть Fetebird | The AI-Powered professor assistance |

Fetebird revolutionizes assignment grading by harnessing the power of the Gemini API and a Retrieval Augmented Generation (RAG) architecture. It streamlines the evaluation process, providing educators with valuable insights into student understanding while maintaining flexibility and adaptability.

Core Functionality

Reference Answer Database: At its heart, Fetebird maintains a database of verified reference answers, each vectorized for efficient comparison. Initially, this database may contain only the teacher's solution, but it expands dynamically as more student submissions are reviewed and approved.
Gemini API Integration: The app leverages the Gemini API and the Langchain4j Java library to interact with a large language model. This enables Fetebird to perform complex evaluations and provide detailed feedback.
RAG Architecture: When a professor initiates an AI evaluation, Fetebird employs a RAG architecture. It retrieves relevant reference answers from the database and presents them to the Gemini model alongside the student's submission.
Prompt Engineering: Carefully crafted system and user prompts guide the model's evaluation. It considers the reference answers and the student's work to provide comprehensive feedback, highlighting strengths, weaknesses, and areas for improvement.
Dynamic Feedback Loop: Fetebird's reference database evolves continuously. As professors verify and approve more student answers, these become part of the evaluation framework, ensuring the system adapts to diverse approaches and solutions.
User Experience

Intuitive Interface: Professors interact with Fetebird through a user-friendly interface. They can initiate AI evaluations with a single click and view the results directly within the app.
Detailed Feedback: Fetebird provides rich feedback, including scores, specific comments, and suggestions for improvement. This helps students understand their performance and identify areas where they can enhance their learning.
Time-Saving: Automating the evaluation process frees up valuable time for professors, allowing them to focus on providing personalized support and guidance to their students.
Benefits

Efficient and Accurate: Fetebird accelerates grading while maintaining accuracy and consistency.
Adaptive and Flexible: The system's reference database expands and evolves, ensuring evaluations remain relevant and effective.
Student-Centric: Detailed feedback helps students identify their strengths and weaknesses, promoting deeper learning and understanding.
Time-Saving: Professors can reclaim valuable time, allowing them to focus on other essential aspects of teaching.

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