College Project Expert

Smart Student Performance Prediction System Using Machine Learning

Data Science / Analytics

₹ 1.00
₹ 1.00

A machine F learning-based system that predicts student academic performance using historical records, attendance, and assessment data to help educators identify at-risk students.

Technologies Used

Python

Pandas

NumPy

Scikit-Learn

Matplotlib

Flask

Jupyter Notebook

SQLite

Project Features

Student data management

Data preprocessing and cleaning

Performance prediction using Machine Learning

Interactive dashboard

Graphical result visualization

Accuracy evaluation metrics

Report generation

User-friendly interface

Software Requirements

Windows 10/11

Python 3.10+

Jupyter Notebook

Visual Studio Code

Flask Framework

SQLite Database

Web Browser (Chrome/Edge)

Hardware Requirements

Intel Core i3 Processor or Higher

4 GB RAM (Minimum)

20 GB Free Disk Space

Internet Connection

Keyboard and Mouse

Project Level

Beginner

Demo Video

Full Description

The Smart Student Performance Prediction System is an intelligent application developed using Python and Machine Learning algorithms. The system analyzes student data such as attendance, assignments, test scores, and study hours to predict future academic performance. It helps educational institutions identify weak students early and take corrective actions. The project includes data preprocessing, feature selection, model training, performance evaluation, and result visualization through interactive charts and reports.