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🔬 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. #ResearchAutomation #AI #AWSBedrock #Streamlit #AcademicResearch #PythonDevelopment #MachineLearning #LLM