- Our objective is to create a system that benefits blind and handicapped students by providing an easy-to-use and accessible solution.
- We aim to reduce the workload on teachers when evaluating exams.
- The main focus of our Subjective Answer Evaluation System is to automate the evaluation of descriptive answer scripts.
- Our proposed system will include a voice assistant to aid visually impaired students.
- In summary, our goal is to enhance the efficiency of the evaluation process while minimizing human effort.
- Implemented speech-to-text functionality (still a work in progress but functional).
- Added text-to-speech capabilities.
- Developed algorithms for sentence similarity checking.
- Implemented keyword similarity checking.
- Integrated Django for web application development.
- Created a user-friendly UI.
- Migrated the front end to JavaScript for improved performance.
- Implemented multi-user support.
- Developed a teacher question portal.
- Created a database for efficient data management.
- Integrated grammar checking functionality.
- Added a ChatBot with additional features.
- Prepared comprehensive documentation.
Please note that the following installation steps were tested on Fedora OS. The steps may vary for Windows and MacOS.
pip install pipenv
pipenv install
pipenv shell
python manage.py livereload (open in a different terminal)
python manage.py runserver- Avoid committing the "mp3" folder.
- Provide clear and informative commit and pull request messages.
This project is in its final phase and is nearing completion.