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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

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