A Multi Agent document analyzer system which extracts financial information from a financial report or statements and provides analysis reports, risk assessment and investment recommendations.

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This project is a CrewAI-based Financial Document Analyzer designed to extract structured financial insights from unstructured financial text documents. The system uses AI agents to analyze financial reports and generate key insights such as revenue, expenses, profit, risk factors, and summary

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Debugged Financial Document Analyzer using CrewAI

Debugged financial document analyzer built with FastAPI and CrewAI.

Debugged and optimized Financial Document Analyzer using CrewAI and FastAPI.

Debugged and stabilized Financial Document Analyzer using CrewAI and FastAPI.

Debugged and fixed CrewAI-based financial document analyzer (AI Internship Assignment)

Debugged Financial Document Analyzer using CrewAI with SQLite integration and improved prompts.

A fully debugged and operational multi-agent financial document analyzer built with CrewAI and FastAPI.

Debugged and optimized CrewAI-based financial document analyzer with structured output and safe prompt engineering.

Debugged CrewAI financial document analyzer fixing deterministic bugs and inefficient prompts while preserving original architecture.

Debugged and improved CrewAI-based financial document analyzer with deterministic prompts, PDF parsing, and KPI extraction.

AI-powered financial document analyzer built with CrewAI & FastAPI — debugged and fixed for VWO internship assignment.

Debugged and improved CrewAI-based financial document analyzer with deterministic prompts, PDF parsing, and KPI extraction.

Debugged and improved CrewAI-based financial document analyzer with deterministic prompts, PDF parsing, and KPI extraction.

Debugged and improved CrewAI-based financial document analyzer with deterministic prompts, PDF parsing, and KPI extraction

Debugged and optimized a CrewAI-based financial document analyzer with deterministic bug fixes, prompt improvements, and structured financial analysis API.

AI-powered financial document analyzer built with CrewAI. Debugged and optimized with structured prompts, async processing, and clean architecture.

Debugged and optimized CrewAI-based financial document analyzer with FastAPI, improved prompts, deterministic bug fixes, and SQLite result persistence.

Debugged and optimized CrewAI Financial Document Analyzer featuring async queue processing, structured financial insight extraction, prompt engineering improvements, and scalable FastAPI backend architecture

A professional Financial Document Analyzer built with CrewAI and FastAPI. Debugged and optimized for high-accuracy financial data extraction with SQLite persistence. (VWO Internship Challenge)

Debugged and production-ready multi-agent Financial Document Analyzer using CrewAI, FastAPI, and OpenAI with fallback handling and concurrent request support.

Debugged and stabilized a CrewAI-based financial document analyzer. Fixed API-breaking bugs, dependency conflicts, and tool integrations; added SQLite persistence and API docs.

Debugged and enhanced Financial Document Analyzer built with CrewAI and FastAPI. Includes deterministic bug fixes, prompt optimization, Celery + Redis queue for concurrent processing, and SQLite database integration.

Debugged & improved Financial Document Analyzer: fixed broken code & inefficient prompts, added deterministic PDF analysis (word count, amounts, sections, sentiment). Built FastAPI API with /analyze, integrated Celery + Redis for concurrency, and /tasks/{id} to fetch results.

AI-driven Financial Document Analyzer leveraging CrewAI to process PDFs and deliver in-depth investment insights, risk evaluations, and market forecasts. Supports concurrent processing via Celery and Redis, with persistent storage of results for efficient retrieval. Robustly debugged with optimized prompts and scalable design.