🛍️ Smart Product Recommender

🚀 Quick Start

# Clone the repository
git clone https://github.com/yourusername/product-recommender.git

# Install dependencies
pip install -r requirements.txt

# Run the recommender
python recommend.py

🌟 What Makes This Special?

Smart Recommendation Magic

• 🕵️ Web Scrapes Amazon in Real-Time
• 🤖 AI-Powered Recommendation Engine
• 🔍 Personalized Product Suggestions

💡 How It Works

1. Data Collection

1. Web Scraping: Automatically gather product details
2. User Simulation: Generate realistic user interaction data
3. Similarity Matching: Find products users might love

2. Recommendation Algorithm

def get_smart_recommendations(user_id):
    # Analyze user preferences
    similar_users = find_user_similarities(user_id)
    
    # Predict and rank products
    recommendations = rank_product_recommendations(similar_users)
    
    return top_5_recommendations

🎯 Use Cases

• 🛒 E-commerce Platforms
• 📊 Product Discovery
• 🤝 Personalized Shopping Experience

🛠️ Tech Stack

• Python
• BeautifulSoup
• Pandas
• Scikit-learn
• Cosine Similarity Algorithm

🚧 Roadmap

• Real-time User Rating Integration
• Machine Learning Model Improvements
• Multi-platform Support

⚠️ Important Notes

Caution: Always respect website terms of service when scraping.

📄 License

MIT License - Free to use, modify, and distribute

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💬 Got Questions?

Open an Issue