🍽 Smart Canteen Demand Prediction

A machine learning based regression project that predicts daily canteen food sales using historical data and data visualization techniques.

📌 Overview

This project uses Linear Regression to estimate daily food demand based on:

• Previous day sales
• Number of students present
• Exam period status
• Weather conditions
• Day of the week

🛠 Technologies Used

• Python
• Pandas
• Matplotlib
• Seaborn
• Scikit-learn
• MongoDB

📊 Model Evaluation

The model performance is evaluated using R² Score and visualized using graphs such as:

• Actual vs Predicted Sales
• Sales Distribution
• Previous Day vs Today Sales

👩‍💻 Author

Nikhita
B.Tech – AI & ML