repowisesvkshailendra/expensecategorizer

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svkshailendra / expensecategorizer

An AI-powered expense tracking app featuring ML.NET category prediction, Azure OCR, and OpenAI text generation. Built on a cloud-native stack with Blazor WASM, Azure Functions, and Cosmos DB.

Files indexed
34
Symbols
133
Languages
5
Structure
Single

Entry points3

  • ExpenseCategorizer.Client/Program.cs
  • ExpenseCategorizerFunction/Program.cs
  • ExpenseModelTrainer/ExpenseModelTrainer/Program.cs

How svkshailendra/expensecategorizer works

An AI-powered expense tracking app featuring ML.NET category prediction, Azure OCR, and OpenAI text generation. Built on a cloud-native stack with Blazor WASM, Azure Functions, and Cosmos DB. This page is an auto-generated, always-fresh map of the svkshailendra/expensecategorizer repository, written primarily in C#. Repowise indexes the source, parses every symbol, computes a dependency graph, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 34 source files, 133 symbols, and 5 languages. Git churn analysis flags 5 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 19 tightly-coupled module communities.

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