AI-Powered Multi-Document Analysis Tool
A professional-grade multi-document analysis tool that extracts, analyzes, and synthesizes insights from financial, agricultural, educational, and other domain-specific documents using Groq LLMs.
Why this matters
Professionals across finance, agriculture, education, and other domains spend hours manually reading and extracting insights from multi-format documents. There was no unified tool to intelligently analyze PDFs, DOCX, and TXT files simultaneously while adapting to the specific domain context.
System Design
Built with Streamlit for the frontend and Groq LLMs (Llama 3.3 70B) as the intelligence engine. The system automatically detects document domains, extracts text and metadata, applies smart truncation for token limits, and generates investor-grade structured reports with key metrics, risks, and opportunities.
Machine Learning & Agents
- Domain detection — automatically identifies Finance, Tech, Agriculture, Education, etc. and adjusts the analysis framework.
- Intelligent extraction — automatic text extraction and metadata detection from PDF, DOCX, and TXT files.
- Smart truncation — preserves critical introductory and concluding contexts within model token limits.
- Structured synthesis — generates reports with key metrics, insights, risks, and opportunities.
Technologies Used
System in action
Future Improvements
- Support for Excel and CSV file analysis.
- Comparative analysis across multiple documents.
- Custom domain templates for specialized industries.
- Integration with cloud storage (Google Drive, Dropbox).
- Real-time collaborative analysis features.
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