AREM Group - REAL PROPERTY INTELLIGENCE REPORT

I’m ready to build a Windows-compatible application that lets me drop in raw Propwire or Propstream exports (currently CSV only) and receive a clean, research-ready dataset. Once imported, the data should automatically sort by Zip code while still keeping key fields—parcel number, owner name, current deed, encumbrances, length of ownership, property-tax status, and any municipal code violations—readily filterable. The core of the job is an algorithm that applies my own grading rules and assigns every record a numbered score. When I open a property profile I want a “deep dive” view that compiles all of the above details plus up-to-date contact information for the current owner in one place. Deliverables I need to see: • Import module that accepts Propwire/Propstream CSV files without manual cleanup • Data engine that stores, indexes, and lets me query by Zip code and all other key fields listed above • Customizable grading algorithm with an easy way for me to tweak the weight of each factor • Property profile screen or report that aggregates the graded score, full data points, and owner contact details • Clear install package (or single-file EXE) that runs smoothly on Windows 10/11 Acceptance criteria: The application must process at least 10,000 rows in a single import without crashing, display graded results in under 30 seconds, and allow me to export any filtered view back to CSV. An internal log or UI message should flag records missing critical fields so I can correct source data quickly. I’m open to whatever stack you feel is most efficient—Python with Pandas and a lightweight SQLite back end, C# and .NET with Entity Framework, or another approach—as long as it meets the speed and usability targets above. Let me know how you’d architect it and how long you’ll need for an MVP I can start testing.