🌍 Smart Travel Recommendation System

A hybrid Information Retrieval (IR) and Machine Learning (ML) based travel recommendation system developed using Python and Streamlit.

The system helps users discover travel destinations across India by combining:

• 🔍 TF-IDF Search
• 📚 BM25 Ranking
• ⚡ Hybrid Retrieval
• ⭐ Content-Based Recommendation
• 📊 Interactive Analytics Dashboard

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🌐 Live Demo

🚀 https://smart-travel-irml.streamlit.app

📸 Application Preview

🏠 Home

🔍 Search

⭐ Recommendation

📊 Analytics

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✨ Features

• 🔍 Hybrid search using TF-IDF and BM25
• ⭐ Content-based travel destination recommendation
• 📊 Interactive analytics dashboard
• 🌏 Search destinations by activities, season, or travel preference
• ⚡ Fast retrieval using Information Retrieval techniques
• 🎨 Minimal and responsive Streamlit interface

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🧠 Algorithms Used

Information Retrieval

• TF-IDF Vectorization
• BM25 Ranking
• Hybrid Score Combination

Machine Learning

• Content-Based Recommendation
• Cosine Similarity

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🛠 Tech Stack

Category	Technology
Language	Python
Framework	Streamlit
Data Processing	Pandas
Machine Learning	Scikit-learn
Information Retrieval	Rank-BM25
Visualization	Streamlit Charts
Dataset	Indian Tourism Dataset (JSON)

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📂 Project Structure

travel-recommender/
│
├── assets/
├── data/
│   ├── raw/
│   └── processed/
│
├── models/
├── notebooks/
│
├── src/
│   ├── preprocess.py
│   ├── ir_engine.py
│   ├── tfidf_engine.py
│   ├── bm25_engine.py
│   ├── ranking.py
│   ├── ml_engine.py
│   ├── recommender.py
│   ├── evaluation.py
│   └── utils.py
│
├── streamlit_app.py
├── requirements.txt
└── README.md

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⚙️ Installation

1. Clone the repository

git clone https://github.com/codebyggn/travel-recommender.git

2. Navigate to the project

cd travel-recommender

3. Install dependencies

pip install -r requirements.txt

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▶️ Running the Application

Launch the Streamlit application using:

streamlit run streamlit_app.py

The application will start at:

http://localhost:8501

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🔄 System Workflow

                  User Query
                      │
                      ▼
             Text Preprocessing
                      │
                      ▼
          TF-IDF Search + BM25 Search
                      │
                      ▼
              Hybrid Score Ranking
                      │
                      ▼
          Top Relevant Destinations
                      │
          ┌───────────┴───────────┐
          ▼                       ▼
 Analytics Dashboard      Similar Destination
                             Recommendation

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📈 Future Enhancements

• Semantic Search using Sentence Transformers
• Real-time travel information APIs
• Interactive map visualization
• Personalized user profiles
• Image-based destination search
• Voice-enabled destination search
• User authentication and saved trips

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🎯 Learning Outcomes

This project demonstrates practical implementation of:

• Information Retrieval (IR)
• Machine Learning (ML)
• Natural Language Processing (NLP)
• Hybrid Search Systems
• Content-Based Recommendation Systems
• Data Preprocessing
• Interactive Web Application Development with Streamlit

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🤝 Contributing

Contributions, suggestions, and improvements are welcome.

Feel free to fork this repository and submit a Pull Request.

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📜 License

This project is intended for educational and academic purposes.

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