Search Engine Project

📌 Overview

This project is a custom search engine that crawls, indexes, and ranks web pages, allowing users to search and retrieve relevant results efficiently. The goal is to build a scalable and efficient search engine with modern technologies.

🚀 Features

• Web Crawling: Extracts data from websites and stores it in a structured format.
• Indexing: Organizes and optimizes data for fast retrieval.
• Ranking Algorithm: Provides relevant search results based on keywords.
• User-Friendly Interface: Clean and simple UI for seamless search experience.
• Scalability: Designed to handle large-scale datasets efficiently.

🛠️ Tech Stack

• Backend: Python/Node.js (Flask/FastAPI or Express.js)
• Frontend: React.js / Next.js
• Database: PostgreSQL / MongoDB
• Search Algorithm: BM25 / TF-IDF / Vector Search
• Web Crawler: Scrapy / BeautifulSoup

📂 Project Structure

📦 search-engine
├── 📂 backend  # Server-side logic & APIs
│   ├── app.py (Flask) or server.js (Node.js)
│   ├── crawler.py (for web crawling)
│   ├── indexer.py (for indexing data)
│   └── search.py (for query processing)
├── 📂 frontend  # Client-side UI
│   ├── src/
│   ├── components/
│   └── pages/
├── 📂 data  # Stores crawled data
├── 📜 README.md
└── 📜 requirements.txt / package.json

🔧 Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/your-username/search-engine.git
cd search-engine

2️⃣ Install Dependencies

Backend (Python)

cd backend
pip install -r requirements.txt

Backend (Node.js)

cd backend
npm install

Frontend (React)

cd frontend
npm install

3️⃣ Run the Project

Start Backend Server

cd backend
python app.py  # If using Python
node server.js  # If using Node.js

Start Frontend

cd frontend
npm run dev  # For React/Next.js

📌 How It Works

1. The crawler fetches web pages and extracts data.
2. The indexer processes and organizes the data.
3. The search algorithm ranks results based on user queries.
4. The frontend UI displays the results in a user-friendly manner.

📈 Future Enhancements

• Implement AI-based ranking using Vector Search
• Add Personalized Search with machine learning
• Introduce Multilingual Search capabilities

🤝 Contributing

Contributions are welcome! Feel free to submit issues or pull requests.