Please note that correction's results is currently presented in pt-BR by default. However, you can always translate it to your language of preference by following these instructions.
EssAI is an open-source project (experiment/demo) designed to showcase how organizations can easily and quickly do essay grading for educators. Leveraging the power of Google Gemini, EssAI automates the essay evaluation process, comparing student submissions against personalized rubrics. This innovative tool not only saves valuable time for educators but also provides near real-time feedback to students, enabling them to learn and improve more effectively.
EssAI aims to streamline the feedback loop in education, freeing up teachers to focus on individualized instruction and student interaction. By automating the often tedious task of grading, this project empowers educators to dedicate more time to what matters most: fostering student growth and understanding. The open-source nature of EssAI encourages community contribution and ensures its continuous development and adaptation to the evolving needs of educators and students.
Here you will find docs, examples of essays (in pt-BR), source code and related scripts designed to deploy EssAI into your own Google Cloud environment.
For details, please, see the documentation below.
Yes, please. Contributions are welcome. Help us make it even better by sending your pull-request.
No. This project is an experiment (proof-of-concept only) and does not reflect a completed system nor a finalized design. Its purpose is solely for research and experimentation. This is not an officially supported Google product.