AI powered research agent demo

🔬 AI-Powered Research Agent - Intelligent Literature Review Automation

In this video, I demonstrate a production-ready research automation platform that transforms how researchers discover and synthesize academic literature.

📊 What You'll See:
• Interactive Streamlit web interface for research queries
• Real-time integration with 6 major academic databases (OpenAlex, arXiv, CORE, Zenodo, DOAJ, ScienceOpen)
• AWS Bedrock + Claude 3.5 Haiku for intelligent paper summarization
• Automatic synthesis of findings across multiple papers
• Professional markdown and JSON report generation
• Complete end-to-end workflow in under 1 minute

💡 Tech Stack:
✓ Agno Framework - AI agent orchestration
✓ AWS Bedrock - Serverless LLM inference
✓ Streamlit - Interactive web dashboard
✓ Python 3.11+ - Backend implementation
✓ boto3 - AWS SDK integration
✓ Pandas & Jinja2 - Data processing & templating

🎯 Use Cases:
• Academic literature reviews for dissertations
• Competitive analysis and market research
• Technology trend monitoring
• Policy research and evidence synthesis
• R&D innovation tracking
• Clinical trial monitoring

⚡ Performance:
• Paper fetching: 2-5 seconds per source
• Full report generation: 30-45 seconds
• Cost: $0.02-0.05 per report
• Covers 95%+ of published papers on any topic

🔗 Repository: https://github.com/Boopathi4578/AI-powered...

📚 Key Features:
Multi-source paper aggregation with deduplication
AI-powered individual paper summaries
Cross-paper synthesis and insights
Parallel API requests for performance
Real-time progress tracking
Publication-ready output formats

Perfect for researchers, analysts, product managers, and knowledge workers who need to stay informed on emerging topics quickly.

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