A simplified tool that analyzes mock banking transaction data, identifies spending patterns, categorizes expenses, and visualizes results clearly.
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Updated
Mar 14, 2025 - Python
A simplified tool that analyzes mock banking transaction data, identifies spending patterns, categorizes expenses, and visualizes results clearly.
Optimized Bitcoin blockchain analysis platform with shared volume architecture. Neo4j graph database, GraphQL API with Redis caching, and Python analysis tools.
A streamlined personal finance dashboard built with Streamlit that helps you analyze bank transactions, track expenses, and manage your financial data. Features include transaction categorization, trend analysis, anomaly detection, and interactive visualizations for better financial insights.
Bitcoin blockchain analysis platform with Neo4j, GraphQL, and Python tools
📊 Analyze Bitcoin blockchain data efficiently with a storage-optimized platform that reduces requirements by 25%, maintaining full capabilities.
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