An interactive web app to analyze student performance by inputting marks, calculating results, and visualizing insights through dynamic charts. Built with Streamlit, it requires no frontend coding and demonstrates practical use of data visualization and simple ML logic.
- Input student marks effortlessly
- Calculate overall and subject-wise performance
- Visualize results with charts (pass %, subject strengths)
- Clean, interactive UI for seamless user experience
- Simple ML logic for basic performance insights
- Quick and easy web app deployment
- Highlights data visualization skills
- Demonstrates practical ML applications
- Shows ability to deploy interactive web apps
- Python
- Streamlit
- Pandas / NumPy for data handling
- Matplotlib / Seaborn for charts
- Optional: Scikit-learn for ML logic
Below is the live interface of the Student Performance Analyzer dashboard.
