

Student Performance Prediction Web App
Forecasts student academic performance so educators can identify students who need early support — CatBoost-powered regression pipeline wrapped in a styled Flask web app with Docker deployment.
What you get
- Source Code
- Trained Model
- Dataset
- Documentation
- PPT
This project is pre-built — delivered within 24 hours of confirmation.
How it works.
Common questions about ordering, delivery, and support.
More from Data Science Projects.
View all

Student Performance Prediction — End-to-End ML Pipeline
A beginner-friendly end-to-end machine learning project that predicts student exam scores from demographic and study data — modular pipeline with data ingestion, transformation, model training (CatBoost/XGBoost), and a Flask web app for predictions.


Airbnb Price Prediction
Predicts fair Airbnb listing prices from location, property type, and market features — ensemble regression with XGBoost/CatBoost, a DVC-tracked training pipeline, and a Flask web app with Docker support.


Diamond Price Prediction
Regression project that predicts diamond prices from carat, cut, color, clarity, and dimensions — clean end-to-end pipeline with MLflow tracking, DVC versioning, and a simple Flask form UI for instant predictions.
ds-012
Student Performance Prediction Web App
