Data-Engineering

Top Weekend places to visit Here's a README.md for your "Top Indian Places to Visit" project:

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🌍 Top Indian Places to Visit 🏕️

This Python project helps users find the best travel destinations in Indian cities based on Google review ratings, time needed to visit, entrance fees, and popularity.

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📌 Features

✅ Load and clean the dataset
✅ Rank travel places based on ratings, time, fee, and popularity
✅ Normalize data for better ranking
✅ Display top-ranked travel places

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📂 Dataset

The dataset should be a CSV file with the following columns:

• City → Name of the city
• Name → Tourist attraction name
• Google review rating → Average rating (out of 5)
• Time needed to visit in hrs → Estimated visit duration
• Entrance Fee in INR → Entry fee cost
• Number of Google reviews in lakhs → Popularity based on review count

Ensure the dataset file is named "Top Indian Places to Visit.csv" and located in the project folder.

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🛠️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/yourusername/top-indian-places.git
cd top-indian-places

2️⃣ Install Dependencies

pip install pandas

3️⃣ Run the Program

python main.py

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📊 How It Works

1️⃣ The program loads and cleans the dataset.
2️⃣ The user enters the name of a city.
3️⃣ The algorithm ranks places using:

• Ratings (40%)
• Time needed (30%)
• Entrance Fee (20%)
• Popularity (10%)
  4️⃣ The top-ranked places are displayed.

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🔥 Example Usage

Enter the city name: Jaipur

💡 Output:

Top weekend travel places near Jaipur:
1. Amber Fort - ⭐ 4.7 | ⏳ 2 hrs | 💰 ₹50 | 🔥 2.1L reviews | 🏆 Score: 0.89
2. Hawa Mahal - ⭐ 4.6 | ⏳ 1.5 hrs | 💰 ₹20 | 🔥 1.8L reviews | 🏆 Score: 0.85
...

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