Financial Report Analyzer using DeepSeek R1 + LangChain
$400.00
- DeepSeek R1 + LangChain-based financial analysis
- Summarization, insights, and query support for structured reports
- Comparison across multiple company filings
- Delivery Time: 4 Weeks
Description
An AI-powered tool that analyzes financial reports (such as balance sheets, income statements, and investor presentations) and provides summaries, insights, and answers to financial queries. Using DeepSeek R1, a powerful open-weight model known for its structured reasoning, this project helps users interpret complex financial documents with ease. Perfect for financial analysts, fintech startups, or CFO offices aiming to speed up analysis and uncover actionable intelligence from financial data.
Key Features:
- Structured Financial Document Parsing – Extracts and organizes data from PDFs, spreadsheets, and earnings reports using financial-specific parsing rules.
- Insight Generation Engine – Automatically generates key highlights, trend summaries, and red-flag alerts for risks or anomalies.
- Q&A over Reports – Users can ask questions like “What was the YoY revenue growth?” or “Is there a change in operating margin trend?”
- Comparative Analysis – Supports multi-document comparison for identifying changes over quarters or across competitors.
Ideal Use Cases or Scenarios:
- Financial analysts performing quick deep-dives into company reports
- Investment firms screening potential companies with automated summaries
- CFO teams reviewing internal or competitor financials for planning
- Fintech platforms offering intelligent analysis for their users
Deliverables:
- Complete backend codebase with LangChain + DeepSeek R1 integration
- Financial report dataset for demo purposes (10–15 annual/quarterly filings)
- Functional Streamlit-based UI with input upload and chat window
- Chart generator for visualizing key financial metrics
- Project documentation with architecture, workflows, and customization guide
- Optional export to PDF or Excel with AI-generated insights
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