ResearchAI 🤖

An AI-powered research report generator combining web scraping, NLP, and document generation.

✨ Features

• 🔍 Multi-source web scraping
• 🧠 AI-powered text analysis
• 📊 Automated data visualization
• 📝 Dynamic PDF report generation
• 📈 Trend analysis and insights
• 🔄 Real-time data processing

🚀 Tech Stack

Backend

• Python 3.8+
• Flask
• Selenium
• NLTK

AI/ML

• Google Gemini API
• TextBlob
• Pandas

Frontend

• HTML5
• CSS3
• JavaScript

📦 Installation

# Clone repository
git clone https://github.com/yourusername/reserchai.git

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/Mac
venv\Scripts\activate     # Windows

# Install dependencies
pip install -r requirements.txt

# Set environment variables
export GEMINI_API_KEY="your-api-key"
export NEWS_API_KEY="your-api-key"

# Run application
python app.py

🌐 Usage

1. Start the server
2. Navigate to http://localhost:5000
3. Enter research topic
4. Click "Generate Report"
5. Download PDF report

📊 Architecture

graph TD
    A[Web Interface] --> B[Data Collection]
    B --> C[AI Processing]
    C --> D[Report Generation]
    D --> E[PDF Output]

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📸 Screenshots

Modern user interface for research topic input

🛠️ Development

# Run tests
python -m pytest

# Run linting
flake8 .

# Generate documentation
pdoc --html .

🤝 Contributing

1. Fork repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open Pull Request

📄 License

MIT License - see LICENSE for details

👤 Developer

Hariom Kumar Pandit

Fullstack Developer

🌟 Acknowledgments

• Google Gemini API
• NewsAPI
• Open source community

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Built with 💻 by Hariom Kumar Pandit