Searchy is a predictive AI-based question-answering system. It utilizes a combination of web scraping, natural language processing (NLP), and sentence-matching models to provide accurate responses to user queries.

• AI-Powered Answers: Uses Google's BERT model for sentence matching.
• Web Scraping Integration: Extracts relevant data using BeautifulSoup.
• NLP Processing: Utilizes spaCy for part-of-speech (POS) tagging and analysis.
• Flask Deployment: Lightweight web-based interface for easy interaction.

• Web Scraping: BeautifulSoup (BS4)
• Sentence Matching: Google's BERT model
• POS Tagging: spaCy NLP model
• Deployment: Flask (Python)

git clone https://github.com/rahatbhambri/Searchy.git
cd Searchy

1. Install dependencies:

   pip install -r requirements.txt

2. Run the application:

   python app.py

3. Access the web interface at http://localhost:5000 and start asking questions.

• Improve the model's accuracy with more training data.
• Implement database storage for caching responses.
• Extend support for multiple languages.
• Deploy as a cloud-based API.

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