📝 SEO Content Detector

A Streamlit-based web application that analyzes text content for SEO quality using NLP techniques.
This tool helps in identifying readability, keyword distribution, sentiment, and overall SEO strength of any written content.

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🚀 Live Demo

👉 Use the deployed app here:
🔗 https://seo-content-detector-dyprkin9dduazdxigbwnm6.streamlit.app/

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📌 Features

• 🔍 SEO Score Evaluation
• 📖 Readability Metrics (Flesch, Gunning Fog, etc.)
• 🧠 Keyword Density & Frequency Analysis
• 🎯 Focus Keyword Matching
• 😃 Sentiment Analysis
• 📊 Detailed Text Insights

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🛠️ Tech Stack

• Python
• Streamlit
• NLTK
• Scikit-learn
• spaCy (optional)
• Pandas / NumPy

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📂 Project Structure

seo-content-detector/ │ ├── streamlit_app.py # Main Streamlit UI ├── data/ # Any data files ├── notebooks/ # Experiments & analysis ├── requirements.txt # Dependencies └── README.md # Documentation

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▶️ Run Locally

git clone https://github.com/Jestin1507/seo-content-detector.git
cd seo-content-detector
pip install -r requirements.txt
streamlit run streamlit_app.py