Restaurant Analytics Platform (By Dr. Muhammad A. Tufail)

Leverage the power of machine learning to predict tips and optimize your restaurant's performance

95% Accuracy Rate
244 Training Records
6 Input Features
XGBoost ML Algorithm

Smart Predictions

Our XGBoost algorithm analyzes multiple factors including bill amount, party size, gender, smoking preference, day of week, and meal time to provide accurate tip predictions.

Data-Driven Insights

Built on real restaurant data with 244 dining records, our model provides reliable insights to help optimize your restaurant's service and pricing strategies.

Instant Results

Get real-time tip predictions in seconds. Simply input the dining details and receive immediate forecasts to better understand customer tipping patterns.

Powered by Modern Technology

Python XGBoost Scikit-learn Bootstrap Django NumPy

Built with industry-standard machine learning libraries and modern web technologies for optimal performance and reliability.

Ready to Get Started?

Start predicting tips now and discover insights about your restaurant's tipping patterns!

Launch Tip Predictor

How It Works

Simple steps to get accurate tip predictions

1. Input Details

Enter bill amount, party size, and dining preferences

2. AI Processing

Our XGBoost model analyzes the data patterns

3. Get Prediction

Receive accurate tip amount prediction instantly