ExamEase
is an AI-driven sentiment analysis tool designed specifically for recognizing student sentiments during exams. Utilizing the BERT model, it classifies student emotions into positive, negative, or neutral categories, providing a comprehensive understanding of student well-being.
- BERT Model Integration: Advanced sentiment analysis using BERT.
- Tri-sentiment Classification: Recognizes positive, negative, and neutral sentiments.
- User-Friendly Interface: Easy-to-use command-line interface, and local hosting using Flask.
- Focus on Well-being: Aims to understand and cater to student emotional needs during exams.
- Clone the repository:
git clone https://github.com/yourusername/ExamEase.git
- Navigate to the directory:
cd ExamEase
- Install requirements:
pip install -r requirements.txt
- Train the model:
python3 train_bert.py
- Run either in the terminal or on a local webpage
- Terminal:
python3 main.py
- Local Host:
python3 app.py
http://127.0.0.1:5000
- Terminal:
Contributions are warmly welcomed! Feel free to create pull requests or open issues to discuss potential modifications or enhancements.
ExamEase is primarily a research and educational tool, serving as no substitute for professional medical or psychological advice, diagnosis, or treatment. For any specific health-related concerns or uncertainties, consulting a qualified healthcare professional is strongly advised. The developers and contributors of ExamEase assume no liability for any inaccuracies, misinterpretations, or misuse of the tool.