johnsonhk88/AI-Bank-Statement-Document-Automation-By-LLM-And-Personal-Finanical-Analysis-Prediction
AI Bank Statement Document Automation By LLM model and Personal Finanical Analysis
Combines YOLOv8 layout detection, OCR, and LLM-powered table extraction to convert unstructured bank statement PDFs into queryable structured data. The architecture leverages LangChain with Chroma/FAISS vector stores for RAG pipelines and AG2 autonomous agents for financial analysis, supporting both cloud LLMs (Google Gemini) and local inference (Ollama). Exposes capabilities via Streamlit web UI with built-in financial intelligence (income/expense categorization, trend analysis, monthly/yearly reports) and DeepEval integration for RAG quality evaluation.
561 stars. Actively maintained with 1 commit in the last 30 days.
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561
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106
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Feb 25, 2026
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