https://github.com/agrawalchaitany/product_recommendation
Smart Product Recommender is an AI-driven platform using web scraping and machine learning to deliver personalized shopping recommendations by analyzing product data and user preferences.
https://github.com/agrawalchaitany/product_recommendation
beautifulsoup cosine-similarity jupyter-notebook pandas python scikit-learn
Last synced: 3 months ago
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Smart Product Recommender is an AI-driven platform using web scraping and machine learning to deliver personalized shopping recommendations by analyzing product data and user preferences.
- Host: GitHub
- URL: https://github.com/agrawalchaitany/product_recommendation
- Owner: agrawalchaitany
- License: mit
- Created: 2024-07-18T18:53:08.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-02-07T15:28:58.000Z (4 months ago)
- Last Synced: 2025-02-07T16:25:37.885Z (4 months ago)
- Topics: beautifulsoup, cosine-similarity, jupyter-notebook, pandas, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 11.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# 🛍️ Smart Product Recommender
## 🚀 Quick Start
```bash
# 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
```python
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](https://github.com/agrawalchaitany/product_recommendation/issues)