TStudent Performance Prediction System
The Student Performance Prediction System is an AI/ML-based project that predicts a student's academic performance using various factors.
Input Features:
Attendance percentage
Study hours
Internal marks
Previous semester marks
Assignment scores
Number of backlogs
Class participation
Output:
Predicted marks or grade
Performance category: Poor / Average / Good / Excellent
Key factors affecting the prediction
Technology Stack
Python
Pandas
NumPy
Scikit-learn
Matplotlib
Machine Learning: Linear Regression, Decision Tree, or Random Forest
Frontend: Streamlit
Working
Student Data → Data Preprocessing → Feature Selection → ML Model → Prediction → Dashboard
For example, the system can take a student's attendance, study hours, internal marks, and previous scores and predict their expected academic performance.
This is a good AI/ML college project because it demonstrates data preprocessing, machine learning, prediction, and visualization.his is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass
Aman Kumar
Posted on
Student Performance
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