CheckTheDemand 📊

ML-based tourism demand prediction system that forecasts travel demand from booking and customer-related features.

🚀 What it does

• Takes booking-related travel details as input through a web interface
• Predicts tourism demand as High or Low
• Built for travel agencies, tourism planners, and hospitality services to plan resources based on demand trends

⚙️ How it works

• Preprocesses and engineers features from booking data
• Trains a Scikit-learn model and serializes it as a .pkl file
• Flask backend serves the model and handles predictions
• Application packaged with Docker for consistent deployment
• Deployed as a cloud web service on Render
• GitHub Actions enables automatic redeployment on every push

🏗 System Architecture

Dataset → Data Preprocessing → Feature Engineering → Model Training → Model Serialization (.pkl) → Flask Web App → Docker Container → Render Cloud Deployment → Automated CI/CD via GitHub Actions

🛠️ Tech Stack

Frontend

• HTML
• CSS
• JavaScript

Backend

• Python
• Flask

Machine Learning

• Scikit-learn
• Pandas
• NumPy
• Matplotlib

Deployment

• Render

DevOps & MLOps

• Docker
• GitHub Actions (CI/CD)

Version Control

• Git
• GitHub

👤 Owner & Author

Mohnish KJ Final Year B.E CSE (AI & ML) Student | AI & ML Enthusiast

• LinkedIn: www.linkedin.com/in/mohnishkj
• Project: CheckTheDemand – Tourism Demand Prediction System

Built as an end-to-end ML application with a focus on real-world deployment, automation, and modern MLOps practices.