🌍 Google Search Analysis using Machine Learning

This project leverages Machine Learning and Google Trends data to analyze global keyword search patterns. It provides visual insights into country-wise interest, keyword trends over time, and supports analysis of both single and multiple keywords.

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🔍 Features

• 📌 Single Keyword Analysis
  Analyze any keyword to discover which countries search for it the most.

• 📊 Country-wise Interest Visualization
  Interactive bar chart showing search popularity by country.

• 🗺️ Global Map View
  Heatmap representing keyword interest across the world.

• 📈 Multiple Keyword Comparison
  Compare trends for up to 4 keywords over a 12-month period (May 2024 – May 2025).

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💡 Use Cases

• 📈 SEO Optimization
• 📊 Market Research
• 🧠 Business Intelligence
• 🌐 Trend Monitoring

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🚀 Tech Stack

• Python
• Pandas
• Matplotlib
• Scikit-learn
• Streamlit
• Google Trends API (pytrends)

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✅ Key Benefits

• Understand where and when interest is highest for any topic
• Discover current market trends for business strategy
• Identify rising or declining keyword popularity
• Create easy-to-interpret visual insights

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📎 How to Run the Project

1. Clone the repository
2. Install dependencies using pip install -r requirements.txt
3. Run the Streamlit app using:

streamlit run app.py