Student Performance Prediction using ML
Academic and behavioural data is used to predict outcomes and highlight students who need support early.
What this project does
Academic and behavioural data is used to predict outcomes and highlight students who need support early.
- Prediction model
- Feature insights
- Dashboard
Technology stack
We can adapt the stack to your college guidelines — mention any required language, framework or tool in your request.
Who this project suits
At easy difficulty this works well for diploma and B.E / B.Tech mini projects, or a final-year project with a strong add-on such as extra features or a research angle. It's entirely software, so there's no hardware to arrange.
What you receive
- Complete working project (code / design files)
- Technical documentation — architecture, setup & code walkthrough
- Output demo you can run and explain
- Doubt-clearing support while you prepare
Optional add-ons: Project report ₹799 · Presentation (PPT) ₹699 · Report + PPT ₹1,299 · Research paper ₹2,499 · Report + PPT + Research paper ₹3,000.
Questions
Can I customise the Student Performance Prediction using ML project?
Yes. Add or remove features, change the Python / Random Forest / XGBoost stack or adjust the scope in the request form — we quote the version you want.
How long does the Student Performance Prediction using ML project take?
Typically around 4 weeks for the standard scope. Share your deadline and we'll tell you honestly if it fits.
What documentation do I receive?
Technical documentation is free with the project — architecture, setup guide and code walkthrough. A project report, PPT and research paper are optional add-ons.
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