🌟 MiniProject – Smart Attendance & Performance Prediction

A machine learning–based system to predict student Pass/Fail status using attendance, internal marks, and assignment scores.

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📘 About the Project

Smart Attendance & Performance Prediction is an academic mini project designed to evaluate student performance using key academic parameters.
The system processes student data through a Python-based machine learning backend and predicts whether a student is likely to pass or fail.
A final report is automatically generated in PDF format for easy evaluation.

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✨ Key Features

• 📊 Predicts student pass/fail outcome
• 🧠 Machine learning–based logic
• 🧮 Calculates results using attendance, internal marks, and assignments
• 📄 Generates final result PDF automatically
• 🎨 Clean and simple user interface

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🛠️ Tech Stack

🔹 Frontend

• HTML
• CSS
• JavaScript

🔹 Backend

• Python
• Machine Learning logic

🔹 Tools

• Git & GitHub
• VS Code

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📁 Project Structure

MiniProject-Smart-Attendance/
│
├── backend/
│   ├── app.py
│   ├── model.py
│
├── frontend/
│   ├── index.html
│   ├── style.css
│   └── script.js
│
├── reports/
│   └── final_result.pdf
│
└── README.md