Project Name: AI Exam Stress Detector Description: This project predicts a student’s exam stress level (Low, Medium, High) based on daily habits like study hours, sleep, anxiety, exam pressure, and breaks. Using a simple Logistic Regression model trained on a synthetic dataset, it provides real-time predictions and actionable suggestions through a Streamlit web app. Inspiration: To help students manage stress and improve performance. Challenges: Creating a realistic dataset and balancing model simplicity with accuracy.
Built With
- matplotlib
- numpy
- pandas
- python
- scikit-learn
- streamlit
