Contact person: Business Client

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Location: Jaipur, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need an AI model that scans source-code repositories, analyses the structure and patterns, then delivers clear, actionable optimisation advice. The core purpose is data analysis—specifically analysing coding data—so the system should inspect functions, dependencies, and performance bottlenecks to highlight areas where execution time, memory usage, or cyclomatic complexity can be improved.

I already have several projects in Git, mainly Python and JavaScript, but I want the solution to operate language-agnostically as much as practical. A typical workflow I imagine is:

• ingest a repository (local path or Git URL)
• parse and model the codebase
• generate an optimisation report that flags redundant logic, duplicated code, and inefficient algorithms, accompanied by suggestions or refactored snippets

You are free to build with Python, TypeScript, or any stack you prefer, as long as you document the setup and provide a script or small web UI that lets me upload a repo and download the report. Please include a short README and at least one walkthrough on a public sample repo so I can verify the results quickly." (client-provided description)